Very Deep Convolutional Networks for Large-Scale Image Recognition

Abstract

In this work we investigate the effect of the convolutional network depth on its accuracy in the large-scale image recognition setting. Our main contribution is a thorough evaluation of networks of increasing depth using an architecture with very small (3x3) convolution filters, which shows that a significant improvement on the prior-art configurations can be achieved by pushing the depth to 16-19 weight layers. These findings were the basis of our ImageNet Challenge 2014 submission, where our team secured the first and the second places in the localisation and classification tracks respectively. We also show that our representations generalise well to other datasets, where they achieve state-of-the-art results. We have made our two best-performing ConvNet models publicly available to facilitate further research on the use of deep visual representations in computer vision.

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• Automatic Pavement Crack Detection Based on Structured Prediction with the Convolutional Neural Network
• Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering
• Contextual Encoder-Decoder Network for Visual Saliency Prediction
• Averaging Weights Leads to Wider Optima and Better Generalization
• A Microprocessor implemented in 65nm CMOS with Configurable and Bit-scalable Accelerator for Programmable In-memory Computing
• RODNet: A Real-Time Radar Object Detection Network Cross-Supervised by Camera-Radar Fused Object 3D Localization
• Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction
• Three Factors Influencing Minima in SGD
• Natural Language Inference over Interaction Space
• Combining Physically-Based Modeling and Deep Learning for Fusing GRACE Satellite Data: Can We Learn from Mismatch?
• EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature Fusion
• A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances
• On the Reconstruction of Face Images from Deep Face Templates
• Hierarchical Representations for Efficient Architecture Search
• Intelligent Traffic Monitoring Systems for Vehicle Classification: A Survey
• DeepSign: Deep Learning for Automatic Malware Signature Generation and Classification
• CAVER: Cross-Modal View-Mixed Transformer for Bi-Modal Salient Object Detection
• Stacked What-Where Auto-encoders
• LXMERT: Learning Cross-Modality Encoder Representations from Transformers
• Comparison of Image Quality Models for Optimization of Image Processing Systems
• Neural Paraphrase Generation with Stacked Residual LSTM Networks
• Deep Pictorial Gaze Estimation
• Interstellar: Using Halide's Scheduling Language to Analyze DNN Accelerators
• Adaptive Multi-Teacher Multi-level Knowledge Distillation
• Fast Patch-based Style Transfer of Arbitrary Style
• Adversarial Examples: Attacks and Defenses for Deep Learning
• Joint Activity Recognition and Indoor Localization with WiFi Fingerprints
• RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content
• A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks
• Star-galaxy Classification Using Deep Convolutional Neural Networks
• Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning
• Deep Transfer Learning for Person Re-identification
• Spectral Norm Regularization for Improving the Generalizability of Deep Learning
• Low-resolution Face Recognition in the Wild via Selective Knowledge Distillation
• BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification
• Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
• SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action Recognition
• Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions
• SD-CNN: a Shallow-Deep CNN for Improved Breast Cancer Diagnosis
• High-Fidelity Generative Image Compression
• InversionNet: A Real-Time and Accurate Full Waveform Inversion with CNNs and continuous CRFs
• GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
• Real-Time Apple Detection System Using Embedded Systems With Hardware Accelerators: An Edge AI Application
• Revisiting Anchor Mechanisms for Temporal Action Localization
• A Survey of Machine Learning for Computer Architecture and Systems
• Flattened Convolutional Neural Networks for Feedforward Acceleration
• Detecting Curve Text in the Wild: New Dataset and New Solution
• Scene Text Detection via Holistic, Multi-Channel Prediction
• Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
• One-Shot Neural Architecture Search via Self-Evaluated Template Network
• First-spike based visual categorization using reward-modulated STDP
• Quantum Entanglement in Deep Learning Architectures
• Revisiting ResNets: Improved Training and Scaling Strategies
• DeepIM: Deep Iterative Matching for 6D Pose Estimation
• Looking Beyond Appearances: Synthetic Training Data for Deep CNNs in Re-identification
• DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets
• Few-Shot Adversarial Domain Adaptation
• Adversarial Text-to-Image Synthesis: A Review
• A Comprehensive Review of Computer Vision in Sports: Open Issues, Future Trends and Research Directions
• An Explainable 3D Residual Self-Attention Deep Neural Network FOR Joint Atrophy Localization and Alzheimer's Disease Diagnosis using Structural MRI
• CNN-RNN: A Unified Framework for Multi-label Image Classification
• Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
• Road Segmentation in SAR Satellite Images with Deep Fully-Convolutional Neural Networks
• ECG arrhythmia classification using a 2-D convolutional neural network
• Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks
• WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning
• Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
• Driver Drowsiness Detection Model Using Convolutional Neural Networks Techniques for Android Application
• Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank
• Meta-Learning with Latent Embedding Optimization
• Learning from Between-class Examples for Deep Sound Recognition
• Learning to Compare Image Patches via Convolutional Neural Networks
• A Survey on Methods and Theories of Quantized Neural Networks
• Deep Aesthetic Quality Assessment with Semantic Information
• Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification
• Weakly Supervised Fine-Grained Image Categorization
• MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild
• Non-Stationary Texture Synthesis by Adversarial Expansion
• GhostNets on Heterogeneous Devices via Cheap Operations
• Spatially-sparse convolutional neural networks
• Learning Depth from Single Images with Deep Neural Network Embedding Focal Length
• Less is More: Lighter and Faster Deep Neural Architecture for Tomato Leaf Disease Classification
• You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection
• ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
• The Reversible Residual Network: Backpropagation Without Storing Activations
• Predicting Video Saliency with Object-to-Motion CNN and Two-layer Convolutional LSTM
• URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection
• Recurrently Exploring Class-wise Attention in A Hybrid Convolutional and Bidirectional LSTM Network for Multi-label Aerial Image Classification
• A Survey on Deep Learning for Skin Lesion Segmentation
• Rethinking the Unpretentious U-net for Medical Ultrasound Image Segmentation
• Sequence to Sequence -- Video to Text
• Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge
• Deep Hough Transform for Semantic Line Detection
• Identifying Implementation Bugs in Machine Learning based Image Classifiers using Metamorphic Testing
• Uncertainty and Interpretability in Convolutional Neural Networks for Semantic Segmentation of Colorectal Polyps
• On Empirical Comparisons of Optimizers for Deep Learning
• Complex Network Classification with Convolutional Neural Network
• Pix2Vox++: Multi-scale Context-aware 3D Object Reconstruction from Single and Multiple Images
• Few-Example Object Detection with Model Communication
• Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse
• An Attention-Fused Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Imagery
• Image Forgery Localization Based on Multi-Scale Convolutional Neural Networks
• Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
• Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges
• Bayesian Deep Learning and a Probabilistic Perspective of Generalization
• Gland Instance Segmentation Using Deep Multichannel Neural Networks
• Deep Learning Approaches on Image Captioning: A Review
• An Uncertainty-aware Transfer Learning-based Framework for Covid-19 Diagnosis
• A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder for Image Classification
• Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches
• Fathom: Reference Workloads for Modern Deep Learning Methods
• Computational Protein Design with Deep Learning Neural Networks
• DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation
• A survey of advances in vision-based vehicle re-identification
• Adversarial Example Detection for DNN Models: A Review and Experimental Comparison
• Neural Architecture Transfer
• Super-resolution-based Change Detection Network with Stacked Attention Module for Images with Different Resolutions
• Integrating Deep Learning into CAD/CAE System: Generative Design and Evaluation of 3D Conceptual Wheel
• Semantic Image Segmentation via Deep Parsing Network
• From W-Net to CDGAN: Bi-temporal Change Detection via Deep Learning Techniques
• PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent Learning -- Lifelong
• Deep Transfer Learning: A new deep learning glitch classification method for advanced LIGO
• Glitch Classification and Clustering for LIGO with Deep Transfer Learning
• Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks
• Learning to Generate Long-term Future via Hierarchical Prediction
• BTS-DSN: Deeply Supervised Neural Network with Short Connections for Retinal Vessel Segmentation
• CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices
• A Comparative Study of Fruit Detection and Counting Methods for Yield Mapping in Apple Orchards
• CBNet: A Composite Backbone Network Architecture for Object Detection
• Auxiliary Tasks in Multi-task Learning
• MobileSal: Extremely Efficient RGB-D Salient Object Detection
• Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images
• Monocular Semantic Occupancy Grid Mapping with Convolutional Variational Encoder-Decoder Networks
• SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks
• Gazelle: A Low Latency Framework for Secure Neural Network Inference
• Tiny Machine Learning: Progress and Futures
• Ablation Studies in Artificial Neural Networks
• Places: An Image Database for Deep Scene Understanding
• Why do deep convolutional networks generalize so poorly to small image transformations?
• Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation
• AxonDeepSeg: automatic axon and myelin segmentation from microscopy data using convolutional neural networks
• L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks
• Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
• Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning
• The Revisiting Problem in Simultaneous Localization and Mapping: A Survey on Visual Loop Closure Detection
• Bifurcated backbone strategy for RGB-D salient object detection
• Localized Sparse Incomplete Multi-view Clustering
• Understanding urban landuse from the above and ground perspectives: a deep learning, multimodal solution
• Origami: A 803 GOp/s/W Convolutional Network Accelerator
• Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly
• Intelligent metaphotonics empowered by machine learning
• An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works
• Position Detection and Direction Prediction for Arbitrary-Oriented Ships via Multitask Rotation Region Convolutional Neural Network
• Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?
• Real-bogus classification for the Zwicky Transient Facility using deep learning
• CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
• Learning Visual Importance for Graphic Designs and Data Visualizations
• Bringing AI To Edge: From Deep Learning's Perspective
• Good Features to Correlate for Visual Tracking
• PTB-TIR: A Thermal Infrared Pedestrian Tracking Benchmark
• FusionNet: 3D Object Classification Using Multiple Data Representations
• Training Deeper Convolutional Networks with Deep Supervision
• CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution
• Simple Black-Box Adversarial Perturbations for Deep Networks
• NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size
• Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective
• RGB-D Object Detection and Semantic Segmentation for Autonomous Manipulation in Clutter
• Deeply-Learned Part-Aligned Representations for Person Re-Identification
• Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image Analysis
• Simultaneous Traffic Sign Detection and Boundary Estimation using Convolutional Neural Network
• Deep Image Homography Estimation
• CornerNet-Lite: Efficient Keypoint Based Object Detection
• Ensemble of Deep Convolutional Neural Networks for Automatic Pavement Crack Detection and Measurement
• JALAD: Joint Accuracy- and Latency-Aware Deep Structure Decoupling for Edge-Cloud Execution
• Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units
• Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules
• Exploring Nearest Neighbor Approaches for Image Captioning
• A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference
• Universal Domain Adaptation through Self Supervision
• Visual Entailment: A Novel Task for Fine-Grained Image Understanding
• Recent Advance in Content-based Image Retrieval: A Literature Survey
• Less-forgetting Learning in Deep Neural Networks
• Differentiable Learning-to-Normalize via Switchable Normalization
• Bags of Local Convolutional Features for Scalable Instance Search
• Machine Learning for Intelligent Optical Networks: A Comprehensive Survey
• Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active Learning
• From Handcrafted to Deep Features for Pedestrian Detection: A Survey
• Active Self-Paced Learning for Cost-Effective and Progressive Face Identification
• SpinalNet: Deep Neural Network with Gradual Input
• Cooperative SGD: A unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms
• Deep Learning in the Automotive Industry: Applications and Tools
• Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging
• Blockchain-based Federated Learning with Secure Aggregation in Trusted Execution Environment for Internet-of-Things
• Style-Transfer via Texture-Synthesis
• Adaptive Correlation Filters with Long-Term and Short-Term Memory for Object Tracking
• From Google Maps to a Fine-Grained Catalog of Street trees
• End-to-End Photo-Sketch Generation via Fully Convolutional Representation Learning
• Gesture Recognition in Robotic Surgery: a Review
• Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network
• A Joint Convolutional Neural Networks and Context Transfer for Street Scenes Labeling
• A Transfer Learning and Optimized CNN Based Intrusion Detection System for Internet of Vehicles
• XONN: XNOR-based Oblivious Deep Neural Network Inference
• Context-Aware Visual Policy Network for Fine-Grained Image Captioning
• ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias
• Speed/accuracy trade-offs for modern convolutional object detectors
• Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs
• Graph-based Spatial-temporal Feature Learning for Neuromorphic Vision Sensing
• Bridging Category-level and Instance-level Semantic Image Segmentation
• Multispecies fruit flower detection using a refined semantic segmentation network
• Learning Spatiotemporal Features with 3D Convolutional Networks
• Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey
• Exploiting Cyclic Symmetry in Convolutional Neural Networks
• High-dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction
• What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification
• Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data
• Real-Time COVID-19 Diagnosis from X-Ray Images Using Deep CNN and Extreme Learning Machines Stabilized by Chimp Optimization Algorithm
• Discrimination-aware Network Pruning for Deep Model Compression
• BoxCars: Improving Fine-Grained Recognition of Vehicles using 3-D Bounding Boxes in Traffic Surveillance
• Predictive modeling of brain tumor: A Deep learning approach
• Intrinsic dimension of data representations in deep neural networks
• An Overview of Machine Learning Techniques for Radiowave Propagation Modeling
• Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional Networks
• A proof that artificial neural networks overcome the curse of dimensionality in the numerical approximation of Black-Scholes partial differential equations
• Seq-NMS for Video Object Detection
• AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds
• CubeMLP: An MLP-based Model for Multimodal Sentiment Analysis and Depression Estimation
• Comparing deep neural networks against humans: object recognition when the signal gets weaker
• Measuring the Effects of Data Parallelism on Neural Network Training
• Integration of adversarial autoencoders with residual dense convolutional networks for estimation of non-Gaussian hydraulic conductivities
• Hydra: an Ensemble of Convolutional Neural Networks for Geospatial Land Classification
• A Light CNN for Deep Face Representation with Noisy Labels
• Improving Neural Network Quantization without Retraining using Outlier Channel Splitting
• Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations
• TomoGAN: Low-Dose Synchrotron X-Ray Tomography with Generative Adversarial Networks
• Restricted Deformable Convolution based Road Scene Semantic Segmentation Using Surround View Cameras
• FusionSeg: Learning to combine motion and appearance for fully automatic segmention of generic objects in videos
• Distilled Siamese Networks for Visual Tracking
• Path-Level Network Transformation for Efficient Architecture Search
• Road Segmentation for Remote Sensing Images using Adversarial Spatial Pyramid Networks
• A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU
• Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data
• Label Refinery: Improving ImageNet Classification through Label Progression
• Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
• Robust Spatial Filtering with Graph Convolutional Neural Networks
• SegICP: Integrated Deep Semantic Segmentation and Pose Estimation
• Database Meets Deep Learning: Challenges and Opportunities
• Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
• Deep Visual-Semantic Alignments for Generating Image Descriptions
• Learning ReLU Networks on Linearly Separable Data: Algorithm, Optimality, and Generalization
• Bag of Freebies for Training Object Detection Neural Networks
• An Entropy-based Pruning Method for CNN Compression
• Evaluating Bayesian Deep Learning Methods for Semantic Segmentation
• CornerNet: Detecting Objects as Paired Keypoints
• Delving Deeper into Convolutional Networks for Learning Video Representations
• Examining the Impact of Blur on Recognition by Convolutional Networks
• Cascaded Region-based Densely Connected Network for Event Detection: A Seismic Application
• In-field high throughput grapevine phenotyping with a consumer-grade depth camera
• PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization
• Re-thinking Co-Salient Object Detection
• BS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray dataset
• AutoSlim: Towards One-Shot Architecture Search for Channel Numbers
• Beyond Data and Model Parallelism for Deep Neural Networks
• Dense 3D Object Reconstruction from a Single Depth View
• Palmprint Recognition in Uncontrolled and Uncooperative Environment
• CNN-based Segmentation of Medical Imaging Data
• Inferring low-dimensional microstructure representations using convolutional neural networks
• DSD: Dense-Sparse-Dense Training for Deep Neural Networks
• MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language
• A Deeper Look at Facial Expression Dataset Bias
• A CNN Approach to Simultaneously Count Plants and Detect Plantation-Rows from UAV Imagery
• Deep Learning for Brain Age Estimation: A Systematic Review
• CNN-based Density Estimation and Crowd Counting: A Survey
• Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
• Bag of Tricks for Image Classification with Convolutional Neural Networks
• UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking
• A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEG
• Transfer Learning for Automated OCTA Detection of Diabetic Retinopathy
• Deformable Kernel Networks for Joint Image Filtering
• Layer-wise training convolutional neural networks with smaller filters for human activity recognition using wearable sensors
• Stabilizing the Lottery Ticket Hypothesis
• CNN-based Methods for Object Recognition with High-Resolution Tactile Sensors
• TCCT: Tightly-Coupled Convolutional Transformer on Time Series Forecasting
• Joint Unsupervised Learning of Deep Representations and Image Clusters
• Dynamic Network Surgery for Efficient DNNs
• A Survey of FPGA-Based Neural Network Accelerator
• Improvements to context based self-supervised learning
• DeepArchitect: Automatically Designing and Training Deep Architectures
• Hierarchical Scene Coordinate Classification and Regression for Visual Localization
• Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition
• BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation
• Deep Tone Mapping Operator for High Dynamic Range Images
• Deep EndoVO: A Recurrent Convolutional Neural Network (RCNN) based Visual Odometry Approach for Endoscopic Capsule Robots
• Deep Learning for Automatic Pneumonia Detection
• Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications
• Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition
• IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach
• HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment
• ImageNet pre-trained models with batch normalization
• Generative Probabilistic Novelty Detection with Adversarial Autoencoders
• XNOR Neural Engine: a Hardware Accelerator IP for 21.6 fJ/op Binary Neural Network Inference
• Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition
• End-to-end Learning of Multi-sensor 3D Tracking by Detection
• A Boundary Tilting Persepective on the Phenomenon of Adversarial Examples
• Audio Spectrogram Representations for Processing with Convolutional Neural Networks
• Joint 3D Proposal Generation and Object Detection from View Aggregation
• Information Recovery-Driven Deep Incomplete Multiview Clustering Network
• CAGNet: Content-Aware Guidance for Salient Object Detection
• Vision-based Real Estate Price Estimation
• Finding strong lenses in CFHTLS using convolutional neural networks
• Transfer Learning in Magnetic Resonance Brain Imaging: a Systematic Review
• Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
• Representations of language in a model of visually grounded speech signal
• FedGroup: Efficient Clustered Federated Learning via Decomposed Data-Driven Measure
• Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review
• GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing
• TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems
• Deep Contrast Learning for Salient Object Detection
• PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment
• PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
• Exploring Spatial Significance via Hybrid Pyramidal Graph Network for Vehicle Re-identification
• Review and Comparison of Commonly Used Activation Functions for Deep Neural Networks
• Learning Dual Semantic Relations with Graph Attention for Image-Text Matching
• Generative Adversarial Networks for Spatio-temporal Data: A Survey
• 3D U-Net Based Brain Tumor Segmentation and Survival Days Prediction
• CT-image Super Resolution Using 3D Convolutional Neural Network
• Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions
• On the Expressive Power of Deep Learning: A Tensor Analysis
• Learning to detect chest radiographs containing lung nodules using visual attention networks
• FigureQA: An Annotated Figure Dataset for Visual Reasoning
• Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation
• Quantifying the Carbon Emissions of Machine Learning
• Class-Balanced Loss Based on Effective Number of Samples
• Deep Convolutions for In-Depth Automated Rock Typing
• Galaxy Morphology Classification with Deep Convolutional Neural Networks
• Deep learning for source camera identification on mobile devices
• MINet: Multi-scale Interactive Network for Real-time Salient Object Detection of Strip Steel Surface Defects
• Good Practice in CNN Feature Transfer
• CloudSegNet: A Deep Network for Nychthemeron Cloud Image Segmentation
• Scaled-YOLOv4: Scaling Cross Stage Partial Network
• Deep-6DPose: Recovering 6D Object Pose from a Single RGB Image
• BA-Net: Dense Bundle Adjustment Network
• Semantic-Aware Scene Recognition
• R-C3D: Region Convolutional 3D Network for Temporal Activity Detection
• Applications of deep learning in traffic congestion detection, prediction and alleviation: A survey
• Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm
• The Expressive Power of Neural Networks: A View from the Width
• A Focused Dynamic Attention Model for Visual Question Answering
• Handwritten Isolated Bangla Compound Character Recognition: a new benchmark using a novel deep learning approach
• Fashionable Modelling with Flux
• Edge Preserving and Multi-Scale Contextual Neural Network for Salient Object Detection
• UrbanFM: Inferring Fine-Grained Urban Flows
• Imbalanced Big Data Oversampling: Taxonomy, Algorithms, Software, Guidelines and Future Directions
• MgNet: A Unified Framework of Multigrid and Convolutional Neural Network
• Fully Convolutional Attention Networks for Fine-Grained Recognition
• Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
• Drivers Drowsiness Detection using Condition-Adaptive Representation Learning Framework
• An Implementation of Faster RCNN with Study for Region Sampling
• SVDNet for Pedestrian Retrieval
• An Energy-Efficient FPGA-based Deconvolutional Neural Networks Accelerator for Single Image Super-Resolution
• Recent Progress in Transformer-based Medical Image Analysis
• Transfer learning for music classification and regression tasks
• BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
• Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks
• Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
• Deep Learning: A Bayesian Perspective
• Learning Contextual Dependencies with Convolutional Hierarchical Recurrent Neural Networks
• Mixed Precision Training of Convolutional Neural Networks using Integer Operations
• Dual Deep Network for Visual Tracking
• Tropical Cyclone Track Forecasting using Fused Deep Learning from Aligned Reanalysis Data
• Video-to-Video Synthesis
• 3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification
• Cross-Scale Internal Graph Neural Network for Image Super-Resolution
• Recent Advances in Deep Learning Techniques for Face Recognition
• Deep Learning for Joint Channel Estimation and Signal Detection in OFDM Systems
• Explaining by Removing: A Unified Framework for Model Explanation
• TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios
• Salient Object Detection in Optical Remote Sensing Images Driven by Transformer
• End2End Occluded Face Recognition by Masking Corrupted Features
• Receptive Field Block Net for Accurate and Fast Object Detection
• Learn To Pay Attention
• Dynamically enhanced static handwriting representation for Parkinson's disease detection
• Learning Multilayer Channel Features for Pedestrian Detection
• Compressing Neural Networks using the Variational Information Bottleneck
• CrowdNet: A Deep Convolutional Network for Dense Crowd Counting
• Pre-Trained Image Processing Transformer
• AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients
• Swapout: Learning an ensemble of deep architectures
• Towards Explaining the Regularization Effect of Initial Large Learning Rate in Training Neural Networks
• The Origins and Prevalence of Texture Bias in Convolutional Neural Networks
• Robustness of classifiers: from adversarial to random noise
• Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology Reports
• Structure-Preserving Image Super-Resolution
• End-to-End Single Image Fog Removal using Enhanced Cycle Consistent Adversarial Networks
• Semantic Autoencoder for Zero-Shot Learning
• Identity-Aware CycleGAN for Face Photo-Sketch Synthesis and Recognition
• Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features
• Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays
• Poison Ink: Robust and Invisible Backdoor Attack
• Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
• Artistic style transfer for videos and spherical images
• Deep Residual Networks with Exponential Linear Unit
• Postdisaster image-based damage detection and repair cost estimation of reinforced concrete buildings using dual convolutional neural networks
• Cutting the Error by Half: Investigation of Very Deep CNN and Advanced Training Strategies for Document Image Classification
• Landmark Guidance Independent Spatio-channel Attention and Complementary Context Information based Facial Expression Recognition
• Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey
• 2018 Robotic Scene Segmentation Challenge
• XNOR-Net++: Improved Binary Neural Networks
• A Bayesian Data Augmentation Approach for Learning Deep Models
• R${}^3$-Net: A Deep Network for Multi-oriented Vehicle Detection in Aerial Images and Videos
• Self Paced Deep Learning for Weakly Supervised Object Detection
• Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring
• Identifying Solar Flare Precursors Using Time Series of SDO/HMI Images and SHARP Parameters
• Adapting Mask-RCNN for Automatic Nucleus Segmentation
• Deep-Learning-Enabled Fast Optical Identification and Characterization of Two-Dimensional Materials
• Flexible Clustered Federated Learning for Client-Level Data Distribution Shift
• Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal Pre-training
• Reinventing 2D Convolutions for 3D Images
• Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detection
• Gas Detection and Identification Using Multimodal Artificial Intelligence Based Sensor Fusion
• N2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning
• Zero-Shot Learning via Semantic Similarity Embedding
• BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation
• Biomedical Question Answering: A Survey of Approaches and Challenges
• CorrDetector: A Framework for Structural Corrosion Detection from Drone Images using Ensemble Deep Learning
• VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation
• Dual Graph Convolutional Network for Semantic Segmentation
• Voice Separation with an Unknown Number of Multiple Speakers
• EAST: An Efficient and Accurate Scene Text Detector
• Language Models for Image Captioning: The Quirks and What Works
• Revisiting Temporal Modeling for Video-based Person ReID
• Gated-SCNN: Gated Shape CNNs for Semantic Segmentation
• Abnormality Detection and Localization in Chest X-Rays using Deep Convolutional Neural Networks
• Evaluating Two-Stream CNN for Video Classification
• Scale-aware Fast R-CNN for Pedestrian Detection
• Analysis of the hands in egocentric vision: A survey
• Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans
• DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks
• Recent Advances in Deep Learning: An Overview
• Backbones-Review: Feature Extraction Networks for Deep Learning and Deep Reinforcement Learning Approaches
• From Clustering to Cluster Explanations via Neural Networks
• Multi-style Generative Network for Real-time Transfer
• Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification
• Toward Explainable AI for Regression Models
• DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model
• Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition
• Cervical Cytology Classification Using PCA & GWO Enhanced Deep Features Selection
• Combining Many-objective Radiomics and 3-dimensional Convolutional Neural Network through Evidential Reasoning to Predict Lymph Node Metastasis in Head and Neck Cancer
• Single-Shot Refinement Neural Network for Object Detection
• TimeNet: Pre-trained deep recurrent neural network for time series classification
• DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
• Exploring the Role of Visual Content in Fake News Detection
• BaitWatcher: A lightweight web interface for the detection of incongruent news headlines
• Super-Resolution via Deep Learning
• Visual Relationship Detection with Language Priors
• Deep Learning Classification of 3.5 GHz Band Spectrograms with Applications to Spectrum Sensing
• Light-Weight RefineNet for Real-Time Semantic Segmentation
• Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review
• Do Adversarially Robust ImageNet Models Transfer Better?
• Depth Quality Aware Salient Object Detection
• SaltiNet: Scan-path Prediction on 360 Degree Images using Saliency Volumes
• Sequence-based Dynamic Handwriting Analysis for Parkinson's Disease Detection with One-dimensional Convolutions and BiGRUs
• Discover Your Social Identity from What You Tweet: a Content Based Approach
• Deeper and Wider Siamese Networks for Real-Time Visual Tracking
• A survey of synthetic data augmentation methods in computer vision
• Self-Adversarial Training incorporating Forgery Attention for Image Forgery Localization
• Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration
• B-CNN: Branch Convolutional Neural Network for Hierarchical Classification
• Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation
• Lifelong Generative Modeling
• Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
• SD-RSIC: Summarization Driven Deep Remote Sensing Image Captioning
• Scene Text Detection and Recognition: The Deep Learning Era
• Boosted EfficientNet: Detection of Lymph Node Metastases in Breast Cancer Using Convolutional Neural Network
• Learning to Reason: End-to-End Module Networks for Visual Question Answering
• Imbalanced Malware Images Classification: a CNN based Approach
• Interpreting and Improving Adversarial Robustness of Deep Neural Networks with Neuron Sensitivity
• Weed Density and Distribution Estimation for Precision Agriculture using Semi-Supervised Learning
• Wavelet Convolutional Neural Networks
• Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights
• Generalized Multi-view Embedding for Visual Recognition and Cross-modal Retrieval
• Discriminative Active Learning
• Rethinking on Multi-Stage Networks for Human Pose Estimation
• Look Wider to Match Image Patches with Convolutional Neural Networks
• An Ensemble of Convolutional Neural Networks for Audio Classification
• Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization
• A Parallel Down-Up Fusion Network for Salient Object Detection in Optical Remote Sensing Images
• Diffusion Models, Image Super-Resolution And Everything: A Survey
• Deep Learning-based Spacecraft Relative Navigation Methods: A Survey
• Weakly-supervised DCNN for RGB-D Object Recognition in Real-World Applications Which Lack Large-scale Annotated Training Data
• Review: Deep Learning in Electron Microscopy
• Training Convolutional Neural Networks with Limited Training Data for Ear Recognition in the Wild
• Towards Diverse and Natural Image Descriptions via a Conditional GAN
• Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks
• Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
• Are All Layers Created Equal?
• Root Mean Square Layer Normalization
• Scale-Invariant Convolutional Neural Networks
• Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation
• Zero-Shot Detection
• Fast Feature Fool: A data independent approach to universal adversarial perturbations
• Do Deep Convolutional Nets Really Need to be Deep and Convolutional?
• Local-Global Context Aware Transformer for Language-Guided Video Segmentation
• Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification
• Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms
• DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images
• Dataset Condensation with Gradient Matching
• ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
• CariGANs: Unpaired Photo-to-Caricature Translation
• Siamese Attentional Keypoint Network for High Performance Visual Tracking
• Gait Recognition Based on Deep Learning: A Survey
• Coronavirus Detection and Analysis on Chest CT with Deep Learning
• Neural Style Transfer: A Review
• Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction
• Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks
• High-fidelity reconstruction of turbulent flow from spatially limited data using enhanced super-resolution generative adversarial network
• Accelerating CNN inference on FPGAs: A Survey
• Decoding and mapping task states of the human brain via deep learning
• Face Recognition: From Traditional to Deep Learning Methods
• FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks
• FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging
• Deep Meta-Learning: Learning to Learn in the Concept Space
• CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows
• Radio Galaxy Zoo: ClaRAN - A Deep Learning Classifier for Radio Morphologies
• A Review of Adversarial Attack and Defense for Classification Methods
• Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform
• Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes
• PointConv: Deep Convolutional Networks on 3D Point Clouds
• Weak lensing cosmology with convolutional neural networks on noisy data
• CLIP-Art: Contrastive Pre-training for Fine-Grained Art Classification
• ChestNet: A Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography
• AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks
• Deep Learning for Android Malware Defenses: a Systematic Literature Review
• Deep Learning in Automated Power Line Inspection: A Review
• Federated Learning with Matched Averaging
• Fingertip Detection and Tracking for Recognition of Air-Writing in Videos
• InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations
• Face Generation and Editing with StyleGAN: A Survey
• Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usages
• Male pelvic synthetic CT generation from T1-weighted MRI using 2D and 3D convolutional neural networks
• Balanced Semi-Supervised Generative Adversarial Network for Damage Assessment from Low-Data Imbalanced-Class Regime
• Pruning Deep Convolutional Neural Networks Architectures with Evolution Strategy
• Deep Learning Methods for Fingerprint-Based Indoor Positioning: A Review
• SiftingGAN: Generating and Sifting Labeled Samples to Improve the Remote Sensing Image Scene Classification Baseline in vitro
• Detail Preserving Depth Estimation from a Single Image Using Attention Guided Networks
• A Survey of Knowledge Representation in Service Robotics
• Self-Supervised Multisensor Change Detection
• Joint Device-Edge Inference over Wireless Links with Pruning
• Deep Reinforcement Learning for Visual Object Tracking in Videos
• Few-Shot Deep Adversarial Learning for Video-based Person Re-identification
• What Do We Understand About Convolutional Networks?
• Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing
• Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
• Wavelet Convolutional Neural Networks for Texture Classification
• Unsupervised machine learning via transfer learning and k-means clustering to classify materials image data
• A Deep Learning Study on Osteosarcoma Detection from Histological Images
• DeepCorn: A Semi-Supervised Deep Learning Method for High-Throughput Image-Based Corn Kernel Counting and Yield Estimation
• Change Detection in Heterogeneous Optical and SAR Remote Sensing Images via Deep Homogeneous Feature Fusion
• Semantic-guided Pixel Sampling for Cloth-Changing Person Re-identification
• Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models
• Building Damage Annotation on Post-Hurricane Satellite Imagery Based on Convolutional Neural Networks
• Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
• Deep Model Compression: Distilling Knowledge from Noisy Teachers
• CycleMLP: A MLP-like Architecture for Dense Prediction
• Approaching the Computational Color Constancy as a Classification Problem through Deep Learning
• Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification
• Quantum Machine Learning for Particle Physics using a Variational Quantum Classifier
• Switching Convolutional Neural Network for Crowd Counting
• Factorization tricks for LSTM networks
• Pose-Aware Instance Segmentation Framework from Cone Beam CT Images for Tooth Segmentation
• Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning
• Learning Reinforced Attentional Representation for End-to-End Visual Tracking
• A Differential Approach for Gaze Estimation
• Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
• InstaGAN: Instance-aware Image-to-Image Translation
• Comparison of fine-tuning strategies for transfer learning in medical image classification
• Facilitated machine learning for image-based fruit quality assessment
• Automatic Discovery and Geotagging of Objects from Street View Imagery
• Enhancing Remote Sensing Image Retrieval with Triplet Deep Metric Learning Network
• Study of Different Deep Learning Approach with Explainable AI for Screening Patients with COVID-19 Symptoms: Using CT Scan and Chest X-ray Image Dataset
• FlatNet: Towards Photorealistic Scene Reconstruction from Lensless Measurements
• Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark
• Hierarchical Paired Channel Fusion Network for Street Scene Change Detection
• Energy-Efficient ConvNets Through Approximate Computing
• Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images
• Spot-adaptive Knowledge Distillation
• Single-Image Depth Perception in the Wild
• AU R-CNN: Encoding Expert Prior Knowledge into R-CNN for Action Unit Detection
• Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space Search
• A Survey on Collaborative DNN Inference for Edge Intelligence
• PP-LCNet: A Lightweight CPU Convolutional Neural Network
• Hierarchy-based Image Embeddings for Semantic Image Retrieval
• Data augmentation instead of explicit regularization
• Hierarchical interpretations for neural network predictions
• Transfer Learning using CNN for Handwritten Devanagari Character Recognition
• Density-aware Single Image De-raining using a Multi-stream Dense Network
• Explicit Knowledge-based Reasoning for Visual Question Answering
• TransCAM: Transformer Attention-based CAM Refinement for Weakly Supervised Semantic Segmentation
• A Deep Learning Perspective on the Origin of Facial Expressions
• Optimized Deep Encoder-Decoder Methods for Crack Segmentation
• Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks
• Deep Adaptive Learning for Writer Identification based on Single Handwritten Word Images
• Learning Linear Transformations for Fast Arbitrary Style Transfer
• PipeDream: Fast and Efficient Pipeline Parallel DNN Training
• Attention-based Pyramid Aggregation Network for Visual Place Recognition
• Review of data analysis in vision inspection of power lines with an in-depth discussion of deep learning technology
• PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
• Universal Joint Feature Extraction for P300 EEG Classification using Multi-task Autoencoder
• Aerial Images Processing for Car Detection using Convolutional Neural Networks: Comparison between Faster R-CNN and YoloV3
• DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays
• DCN-T: Dual Context Network with Transformer for Hyperspectral Image Classification
• Deep Reinforcement Learning Optimizes Graphene Nanopores for Efficient Desalination
• Black-Box Testing of Deep Neural Networks Through Test Case Diversity
• SAFE: Similarity-Aware Multi-Modal Fake News Detection
• Locally-Supervised Deep Hybrid Model for Scene Recognition
• PP-YOLOv2: A Practical Object Detector
• Real-Time Deep Learning Approach to Visual Servo Control and Grasp Detection for Autonomous Robotic Manipulation
• Attribute2Image: Conditional Image Generation from Visual Attributes
• Deep Photo Style Transfer
• PixelNet: Representation of the pixels, by the pixels, and for the pixels
• Shape and Margin-Aware Lung Nodule Classification in Low-dose CT Images via Soft Activation Mapping
• Move Evaluation in Go Using Deep Convolutional Neural Networks
• Accelerator-Aware Pruning for Convolutional Neural Networks
• Artificial Intelligence-Based Image Enhancement in PET Imaging: Noise Reduction and Resolution Enhancement
• VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers
• Vector-quantized Image Modeling with Improved VQGAN
• Generalisation and Sharing in Triplet Convnets for Sketch based Visual Search
• Survey on Visual Sentiment Analysis
• Re-ID done right: towards good practices for person re-identification
• Learning Meta Pattern for Face Anti-Spoofing
• Segmentation of cell-level anomalies in electroluminescence images of photovoltaic modules
• Generative Face Completion
• Contextual Translation Embedding for Visual Relationship Detection and Scene Graph Generation
• Selection via Proxy: Efficient Data Selection for Deep Learning
• A Survey of Malware Detection Using Deep Learning
• From Image to Language: A Critical Analysis of Visual Question Answering (VQA) Approaches, Challenges, and Opportunities
• Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion
• Multimodal Spatio-Temporal Deep Learning Approach for Neonatal Postoperative Pain Assessment
• Where to put the Image in an Image Caption Generator
• Universal adversarial perturbations
• MAttNet: Modular Attention Network for Referring Expression Comprehension
• DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks
• Neural network-based on-chip spectroscopy using a scalable plasmonic encoder
• putEMG -- a surface electromyography hand gesture recognition dataset
• Multi-views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images
• From Captions to Visual Concepts and Back
• Classification of Time-Series Images Using Deep Convolutional Neural Networks
• Oriented Bounding Boxes for Small and Freely Rotated Objects
• ChineseFoodNet: A large-scale Image Dataset for Chinese Food Recognition
• Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics
• FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
• Too Far to See? Not Really! --- Pedestrian Detection with Scale-aware Localization Policy
• Perceptual Generative Adversarial Networks for Small Object Detection
• Feature visualization of Raman spectrum analysis with deep convolutional neural network
• Self-Adaptive Training: beyond Empirical Risk Minimization
• Generalized Inner Loop Meta-Learning
• Fast Fine-grained Image Classification via Weakly Supervised Discriminative Localization
• Federated Learning with Spiking Neural Networks
• Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training
• Finding beans in burgers: Deep semantic-visual embedding with localization
• Stealing Neural Networks via Timing Side Channels
• RECOD Titans at ISIC Challenge 2017
• On the Origin of Deep Learning
• Non-Vacuous Generalization Bounds at the ImageNet Scale: A PAC-Bayesian Compression Approach
• FireNet: A Specialized Lightweight Fire & Smoke Detection Model for Real-Time IoT Applications
• Does deep learning model calibration improve performance in class-imbalanced medical image classification?
• Deep Active Learning over the Long Tail
• Deep learning for galaxy surface brightness profile fitting
• Partial Connection Based on Channel Attention for Differentiable Neural Architecture Search
• AP-Loss for Accurate One-Stage Object Detection
• Robust Scene Text Recognition with Automatic Rectification
• Hierarchical Object Detection with Deep Reinforcement Learning
• Automated interpretation of congenital heart disease from multi-view echocardiograms
• Forecasting with time series imaging
• 3D CNN-PCA: A Deep-Learning-Based Parameterization for Complex Geomodels
• Measuring the Algorithmic Efficiency of Neural Networks
• Paraphrasing Complex Network: Network Compression via Factor Transfer
• ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
• Redesigning Multi-Scale Neural Network for Crowd Counting
• Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks
• Super-Resolution with Deep Convolutional Sufficient Statistics
• Object Detection with Deep Learning: A Review
• A Comparative Study on Polyp Classification using Convolutional Neural Networks
• Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks
• MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification
• Incorporating human and learned domain knowledge into training deep neural networks: A differentiable dose volume histogram and adversarial inspired framework for generating Pareto optimal dose distributions in radiation therapy
• Balanced Sparsity for Efficient DNN Inference on GPU
• SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation
• Bi-directional Dermoscopic Feature Learning and Multi-scale Consistent Decision Fusion for Skin Lesion Segmentation
• PathVQA: 30000+ Questions for Medical Visual Question Answering
• Feature Fusion Vision Transformer for Fine-Grained Visual Categorization
• Exploiting deep residual networks for human action recognition from skeletal data
• Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model
• Disentangling Hate in Online Memes
• Deep Image Retrieval: Learning global representations for image search
• Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations
• Exploiting Local Features from Deep Networks for Image Retrieval
• Tree-Structured Reinforcement Learning for Sequential Object Localization
• Predicting Lung Nodule Malignancies by Combining Deep Convolutional Neural Network and Handcrafted Features
• A novel database of Children's Spontaneous Facial Expressions (LIRIS-CSE)
• AS-MLP: An Axial Shifted MLP Architecture for Vision
• Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow
• Faster Training of Mask R-CNN by Focusing on Instance Boundaries
• Predicting Network Controllability Robustness: A Convolutional Neural Network Approach
• Multi-Oriented Text Detection with Fully Convolutional Networks
• 3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection
• Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos
• Automatic Liver Lesion Detection using Cascaded Deep Residual Networks
• Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation
• Peephole: Predicting Network Performance Before Training
• Recognizing Partial Biometric Patterns
• 3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation
• Contrastive Collaborative Filtering for Cold-Start Item Recommendation
• Fisher Vectors Derived from Hybrid Gaussian-Laplacian Mixture Models for Image Annotation
• LiteSeg: A Novel Lightweight ConvNet for Semantic Segmentation
• Efficient Self-supervised Vision Transformers for Representation Learning
• Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks
• Fast Deep Multi-patch Hierarchical Network for Nonhomogeneous Image Dehazing
• SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems
• Defeating Image Obfuscation with Deep Learning
• An overview of mixing augmentation methods and augmentation strategies
• MaskGAN: Towards Diverse and Interactive Facial Image Manipulation
• DenseCap: Fully Convolutional Localization Networks for Dense Captioning
• Evolving Deep Convolutional Neural Networks for Image Classification
• Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs
• Attention-Aware Compositional Network for Person Re-identification
• An end-to-end trainable hybrid classical-quantum classifier
• Learning Robust Representations via Multi-View Information Bottleneck
• Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging
• VIBNN: Hardware Acceleration of Bayesian Neural Networks
• Convergence guarantees for RMSProp and ADAM in non-convex optimization and an empirical comparison to Nesterov acceleration
• Environmental Sound Classification on the Edge: A Pipeline for Deep Acoustic Networks on Extremely Resource-Constrained Devices
• Learning a Target Sample Re-Generator for Cross-Database Micro-Expression Recognition
• Adversarially Robust Generalization Just Requires More Unlabeled Data
• A New Benchmark and Approach for Fine-grained Cross-media Retrieval
• PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
• Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
• Deep Polynomial Neural Networks
• Angle-Closure Detection in Anterior Segment OCT based on Multi-Level Deep Network
• Clipper: A Low-Latency Online Prediction Serving System
• Representation Learning for Natural Language Processing
• Deep Retinal Image Segmentation with Regularization Under Geometric Priors
• Heterogeneous Multilayer Generalized Operational Perceptron
• Seizure Detection using Least EEG Channels by Deep Convolutional Neural Network
• Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning
• AI Security for Geoscience and Remote Sensing: Challenges and Future Trends
• Stronger generalization bounds for deep nets via a compression approach
• Predicting orientation-dependent plastic susceptibility from static structure in amorphous solids via deep learning
• Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks
• Deep Learning Techniques for In-Crop Weed Identification: A Review
• TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training and Inference
• Automatic Image Annotation via Label Transfer in the Semantic Space
• Dissecting the Graphcore IPU Architecture via Microbenchmarking
• Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning
• RSI-CB: A Large Scale Remote Sensing Image Classification Benchmark via Crowdsource Data
• Interleaved Group Convolutions for Deep Neural Networks
• Quantum Algorithms for Deep Convolutional Neural Networks
• SCGAN: Saliency Map-guided Colorization with Generative Adversarial Network
• Detecting motorcycle helmet use with deep learning
• Visual Madlibs: Fill in the blank Image Generation and Question Answering
• DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection
• Putting An End to End-to-End: Gradient-Isolated Learning of Representations
• Convolutional Neural Networks for Facial Expression Recognition
• TDACNN: Target-domain-free Domain Adaptation Convolutional Neural Network for Drift Compensation in Gas Sensors
• Exploiting Image-trained CNN Architectures for Unconstrained Video Classification
• Real Time Image Saliency for Black Box Classifiers
• Cancer Metastasis Detection With Neural Conditional Random Field
• NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks
• POBA-GA: Perturbation Optimized Black-Box Adversarial Attacks via Genetic Algorithm
• Confusing Image Quality Assessment: Towards Better Augmented Reality Experience
• Data Augmentation in Emotion Classification Using Generative Adversarial Networks
• FIVR: Fine-grained Incident Video Retrieval
• Interpretable deep learning for guided structure-property explorations in photovoltaics
• Learning Converged Propagations with Deep Prior Ensemble for Image Enhancement
• Certified Defenses for Adversarial Patches
• Hierarchical Attention Network for Action Recognition in Videos
• Local Aggregation for Unsupervised Learning of Visual Embeddings
• T-Net: Nested encoder-decoder architecture for the main vessel segmentation in coronary angiography
• Densely Connected Pyramid Dehazing Network
• Practical Approaches Towards Deep-Learning Based Cross-Device Power Side Channel Attack
• Uncertainty-Aware Consistency Regularization for Cross-Domain Semantic Segmentation
• Net2Vis -- A Visual Grammar for Automatically Generating Publication-Tailored CNN Architecture Visualizations
• Hierarchical Convolutional-Deconvolutional Neural Networks for Automatic Liver and Tumor Segmentation
• Building Extraction from Remote Sensing Images via an Uncertainty-Aware Network
• PsyPhy: A Psychophysics Driven Evaluation Framework for Visual Recognition
• Lip-reading with Densely Connected Temporal Convolutional Networks
• Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting
• StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow
• What is the State of Neural Network Pruning?
• Dive into Deep Learning
• Recurrent Topic-Transition GAN for Visual Paragraph Generation
• A Low Effort Approach to Structured CNN Design Using PCA
• Analyzing Human-Human Interactions: A Survey
• Robust Adversarial Perturbation on Deep Proposal-based Models
• Detection and Classification of Supernova Gravitational Waves Signals: A Deep Learning Approach
• Large Scale Automated Reading of Frontal and Lateral Chest X-Rays using Dual Convolutional Neural Networks
• Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation
• A Survey on Semantic Communications for Intelligent Wireless Networks
• Fast Algorithms for Convolutional Neural Networks
• A Fully Convolutional Deep Auditory Model for Musical Chord Recognition
• Dual-Resolution Correspondence Networks
• Non-rigid image registration using fully convolutional networks with deep self-supervision
• Implicit Regularization in Deep Learning
• Multi-modal Wound Classification using Wound Image and Location by Deep Neural Network
• UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
• Unsupervised Cycle-consistent Generative Adversarial Networks for Pan-sharpening
• Multi-Class Multi-Object Tracking using Changing Point Detection
• Object Detection Using Sim2Real Domain Randomization for Robotic Applications
• Selfless Sequential Learning
• Assessment of Generative Adversarial Networks Model for Synthetic Optical Coherence Tomography Images of Retinal Disorders
• AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs
• Intensity-only Mode Decomposition on Multimode Fibers using a Densely Connected Convolutional Network
• Convolutional neural networks with fractional order gradient method
• Optimizing CNN Model Inference on CPUs
• Semi-supervised Domain Adaptation via Minimax Entropy
• Super-resolution reconstruction of turbulent flow at various Reynolds numbers based on generative adversarial networks
• The nature of the animacy organization in human ventral temporal cortex
• Joint Face Image Restoration and Frontalization for Recognition
• Online Learning Rate Adaptation with Hypergradient Descent
• FreezeOut: Accelerate Training by Progressively Freezing Layers
• EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices
• Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
• Depth Adaptive Deep Neural Network for Semantic Segmentation
• Spatio-Temporal Self-Attention Network for Video Saliency Prediction
• Dynamic Gesture Recognition by Using CNNs and Star RGB: a Temporal Information Condensation
• Are we done with ImageNet?
• Deblurring Face Images using Uncertainty Guided Multi-Stream Semantic Networks
• Deep Rectangling for Image Stitching: A Learning Baseline
• SG-FCN: A Motion and Memory-Based Deep Learning Model for Video Saliency Detection
• Does Multimodality Help Human and Machine for Translation and Image Captioning?
• River Ice Segmentation with Deep Learning
• Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective
• StyleBank: An Explicit Representation for Neural Image Style Transfer
• C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images
• Learning Sparse Networks Using Targeted Dropout
• Makeup like a superstar: Deep Localized Makeup Transfer Network
• Adversarial Complementary Learning for Weakly Supervised Object Localization
• ESPnet: End-to-End Speech Processing Toolkit
• Temporal Sentence Grounding in Videos: A Survey and Future Directions
• DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples
• Distributed Deep Neural Networks over the Cloud, the Edge and End Devices
• Attention Correctness in Neural Image Captioning
• Residual Connections Encourage Iterative Inference
• Exploiting inter-image similarity and ensemble of extreme learners for fixation prediction using deep features
• Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection
• LDMVFI: Video Frame Interpolation with Latent Diffusion Models
• Bayesian convolutional neural network based MRI brain extraction on nonhuman primates
• Theory-guided Auto-Encoder for Surrogate Construction and Inverse Modeling
• A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks
• Market2Dish: Health-aware Food Recommendation
• On the Accuracy of Analog Neural Network Inference Accelerators
• Convolutional Clustering for Unsupervised Learning
• LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets
• Neural Best-Buddies: Sparse Cross-Domain Correspondence
• Video Frame Interpolation via Adaptive Separable Convolution
• Do Convolutional Networks need to be Deep for Text Classification ?
• Dynamic Few-Shot Visual Learning without Forgetting
• Towards seamless multi-view scene analysis from satellite to street-level
• Deep Convolution Networks for Compression Artifacts Reduction
• NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
• FDDH: Fast Discriminative Discrete Hashing for Large-Scale Cross-Modal Retrieval
• A Learning Convolutional Neural Network Approach for Network Robustness Prediction
• Discriminative Feature Learning with Foreground Attention for Person Re-Identification
• Machine Learning for Software Engineering: A Systematic Mapping
• Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video
• Constraining the astrophysics and cosmology from 21cm tomography using deep learning with the SKA
• Latent Heterogeneous Graph Network for Incomplete Multi-View Learning
• Scaling Deep Learning on GPU and Knights Landing clusters
• Do We Really Need to Collect Millions of Faces for Effective Face Recognition?
• Decoupled Novel Object Captioner
• Building medical image classifiers with very limited data using segmentation networks
• Machine Learning for recognition of minerals from multispectral data
• Learning Background-Aware Correlation Filters for Visual Tracking
• ssEMnet: Serial-section Electron Microscopy Image Registration using a Spatial Transformer Network with Learned Features
• Cyberbullying Detection in Social Networks Using Deep Learning Based Models; A Reproducibility Study
• Audio style transfer
• Automatic extraction of road intersection points from USGS historical map series using deep convolutional neural networks
• Arachne: Search Based Repair of Deep Neural Networks
• Analysis of Social Media Data using Multimodal Deep Learning for Disaster Response
• CNN+CNN: Convolutional Decoders for Image Captioning
• A newcomer's guide to deep learning for inverse design in nano-photonics
• Improving Fairness for Data Valuation in Horizontal Federated Learning
• Illuminating Pedestrians via Simultaneous Detection & Segmentation
• DyNet: Dynamic Convolution for Accelerating Convolutional Neural Networks
• Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation
• Short-term precipitation prediction using deep learning
• Fine-grained Visual-textual Representation Learning
• Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge
• Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond
• Learning to synthesise the ageing brain without longitudinal data
• Improving Malaria Parasite Detection from Red Blood Cell using Deep Convolutional Neural Networks
• Task Agnostic Continual Learning Using Online Variational Bayes
• Artificial Neural Network Based Breast Cancer Screening: A Comprehensive Review
• Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides
• DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression
• Real-World Image Datasets for Federated Learning
• TinaFace: Strong but Simple Baseline for Face Detection
• Revisiting Self-Supervised Visual Representation Learning
• Adversarial Inpainting of Medical Image Modalities
• Discriminability objective for training descriptive captions
• Domain Adaptation for Ear Recognition Using Deep Convolutional Neural Networks
• Incorporating the Knowledge of Dermatologists to Convolutional Neural Networks for the Diagnosis of Skin Lesions
• Cost-aware Pre-training for Multiclass Cost-sensitive Deep Learning
• Unrestricted Adversarial Examples via Semantic Manipulation
• Building and Interpreting Deep Similarity Models
• Latent Space Data Assimilation by using Deep Learning
• Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks
• Significance of Softmax-based Features in Comparison to Distance Metric Learning-based Features
• See, Hear, and Read: Deep Aligned Representations
• Breast Cancer Classification using Deep Learned Features Boosted with Handcrafted Features
• Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark
• Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis
• Context Understanding in Computer Vision: A Survey
• Volumetric Isosurface Rendering with Deep Learning-Based Super-Resolution
• Convolutional Neural Network Ensemble Learning for Hyperspectral Imaging-based Blackberry Fruit Ripeness Detection in Uncontrolled Farm Environment
• A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation
• Gradient Harmonized Single-stage Detector
• A novel channel pruning method for deep neural network compression
• Evaluating color texture descriptors under large variations of controlled lighting conditions
• A Good Image Generator Is What You Need for High-Resolution Video Synthesis
• Confidence Measure Guided Single Image De-raining
• Meta Balanced Network for Fair Face Recognition
• Theoretical Analysis of Auto Rate-Tuning by Batch Normalization
• Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis
• Detecting GAN-generated Imagery using Color Cues
• 2D-Densely Connected Convolution Neural Networks for automatic Liver and Tumor Segmentation
• Webly Supervised Learning of Convolutional Networks
• Communication optimization strategies for distributed deep neural network training: A survey
• Understanding Top-k Sparsification in Distributed Deep Learning
• A Data Driven End-to-end Approach for In-the-wild Monitoring of Eating Behavior Using Smartwatches
• Residual Convolutional CTC Networks for Automatic Speech Recognition
• Transformer-Transducer: End-to-End Speech Recognition with Self-Attention
• Optimizing Rank-based Metrics with Blackbox Differentiation
• Detecting Visual Relationships with Deep Relational Networks
• End-to-end Learning of Object Motion Estimation from Retinal Events for Event-based Object Tracking
• Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research
• Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation
• A Study of BFLOAT16 for Deep Learning Training
• Towards Accurate Post-Training Quantization for Vision Transformer
• Co-training for Demographic Classification Using Deep Learning from Label Proportions
• CMIR-NET : A Deep Learning Based Model For Cross-Modal Retrieval In Remote Sensing
• A Similarity Measure for Material Appearance
• Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space
• Active, Continual Fine Tuning of Convolutional Neural Networks for Reducing Annotation Efforts
• ECOVNet: An Ensemble of Deep Convolutional Neural Networks Based on EfficientNet to Detect COVID-19 From Chest X-rays
• CarDD: A New Dataset for Vision-based Car Damage Detection
• Fast Facial Landmark Detection and Applications: A Survey
• Rethinking Spatial Dimensions of Vision Transformers
• Revisiting Light Field Rendering with Deep Anti-Aliasing Neural Network
• Integrating uncertainty in deep neural networks for MRI based stroke analysis
• Deep Integrated Pipeline of Segmentation Guided Classification of Breast Cancer from Ultrasound Images
• Stacking-Based Deep Neural Network: Deep Analytic Network for Pattern Classification
• Robust Convolutional Neural Networks under Adversarial Noise
• Bilinear CNNs for Fine-grained Visual Recognition
• Deep Learning with Low Precision by Half-wave Gaussian Quantization
• The ImageNet Shuffle: Reorganized Pre-training for Video Event Detection
• Multi-View 3D Object Detection Network for Autonomous Driving
• Recursive Recurrent Nets with Attention Modeling for OCR in the Wild
• Super-resolution of multispectral satellite images using convolutional neural networks
• Online Hybrid CTC/Attention End-to-End Automatic Speech Recognition Architecture
• Filter Pruning by Switching to Neighboring CNNs with Good Attributes
• DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection
• Large Kernel Distillation Network for Efficient Single Image Super-Resolution
• T-LEAP: Occlusion-robust pose estimation of walking cows using temporal information
• An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition
• Analyzing features learned for Offline Signature Verification using Deep CNNs
• Contrastive Representation Distillation
• Single-View Place Recognition under Seasonal Changes
• Salient Object Detection with Lossless Feature Reflection and Weighted Structural Loss
• Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization
• Inertial Sensors for Human Motion Analysis: A Comprehensive Review
• CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning
• Neuron Shapley: Discovering the Responsible Neurons
• PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing
• Classical-to-quantum convolutional neural network transfer learning
• Face Detection Using Improved Faster RCNN
• New SAR target recognition based on YOLO and very deep multi-canonical correlation analysis
• Expression Analysis Based on Face Regions in Read-world Conditions
• How Can We Be So Dense? The Benefits of Using Highly Sparse Representations
• SWP-LeafNET: A novel multistage approach for plant leaf identification based on deep CNN
• Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon
• SofGAN: A Portrait Image Generator with Dynamic Styling
• Constructing Accurate and Efficient Deep Spiking Neural Networks with Double-threshold and Augmented Schemes
• Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images
• Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances
• Bridging the Gap Between Computational Photography and Visual Recognition
• OREOS: Oriented Recognition of 3D Point Clouds in Outdoor Scenarios
• FPGA-accelerated machine learning inference as a service for particle physics computing
• Semantic Invariant Multi-view Clustering with Fully Incomplete Information
• A Real-time Hand Gesture Recognition and Human-Computer Interaction System
• Cold Case: The Lost MNIST Digits
• Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes with Point-Level Annotations
• Automatic detection of acute ischemic stroke using non-contrast computed tomography and two-stage deep learning model
• Semi-Heterogeneous Three-Way Joint Embedding Network for Sketch-Based Image Retrieval
• An LSTM-Based Autonomous Driving Model Using Waymo Open Dataset
• Deep Reinforcement Learning-based Image Captioning with Embedding Reward
• Learning to Amend Facial Expression Representation via De-albino and Affinity
• A Systematic IoU-Related Method: Beyond Simplified Regression for Better Localization
• Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration
• From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI
• Visual Attention Network for Low Dose CT
• Automatic Hierarchical Classification of Kelps using Deep Residual Features
• Toward Convolutional Blind Denoising of Real Photographs
• FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction
• ConTNet: Why not use convolution and transformer at the same time?
• C-VTON: Context-Driven Image-Based Virtual Try-On Network
• Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI
• Rapid seismic domain transfer: Seismic velocity inversion and modeling using deep generative neural networks
• When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and A New Benchmark
• PoNA: Pose-guided Non-local Attention for Human Pose Transfer
• Sobolev Training for Neural Networks
• Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search
• Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection
• An advanced data fabric architecture leveraging homomorphic encryption and federated learning
• PaddleSeg: A High-Efficient Development Toolkit for Image Segmentation
• Training Skinny Deep Neural Networks with Iterative Hard Thresholding Methods
• Semi-supervised few-shot learning for medical image segmentation
• SOLVER: Scene-Object Interrelated Visual Emotion Reasoning Network
• Gastric histopathology image segmentation using a hierarchical conditional random field
• Middle-level Fusion for Lightweight RGB-D Salient Object Detection
• Improving Variational Autoencoder with Deep Feature Consistent and Generative Adversarial Training
• Learning Feature Pyramids for Human Pose Estimation
• Waymo Driverless Car Data Analysis and Driving Modeling using CNN and LSTM
• Performance Study of YOLOv5 and Faster R-CNN for Autonomous Navigation around Non-Cooperative Targets
• How deep is deep enough? -- Quantifying class separability in the hidden layers of deep neural networks
• FDA: Fourier Domain Adaptation for Semantic Segmentation
• Improving Outfit Recommendation with Co-supervision of Fashion Generation
• Seabed classification using physics-based modeling and machine learning
• A Probabilistic Quality Representation Approach to Deep Blind Image Quality Prediction
• Toward quantitative fractography using convolutional neural networks
• Image similarity using Deep CNN and Curriculum Learning
• Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff
• Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets
• Exploring the Synergies of Hybrid CNNs and ViTs Architectures for Computer Vision: A survey
• Pancreas segmentation with probabilistic map guided bi-directional recurrent UNet
• Convolutional Sketch Inversion
• Domain Adaptation for Object Detection via Style Consistency
• Pyramid Feature Attention Network for Saliency detection
• Real-time Convolutional Neural Networks for Emotion and Gender Classification
• Real-Time Illegal Parking Detection System Based on Deep Learning
• Machine learning for music genre: multifaceted review and experimentation with audioset
• Violence detection in videos using deep recurrent and convolutional neural networks
• Towards the Limit of Network Quantization
• Emotion Detection for Misinformation: A Review
• Classification of Histopathological Biopsy Images Using Ensemble of Deep Learning Networks
• Convolutional Neural Networks with Gated Recurrent Connections
• Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference
• MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection
• CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos
• A Genetic Programming Approach to Designing Convolutional Neural Network Architectures
• Residual Dense Network for Image Restoration
• Adversarial Multimodal Representation Learning for Click-Through Rate Prediction
• Horizontal Pyramid Matching for Person Re-identification
• Ensembles of Convolutional Neural Networks models for pediatric pneumonia diagnosis
• CMT: Convolutional Neural Networks Meet Vision Transformers
• Improved StyleGAN Embedding: Where are the Good Latents?
• Action Recognition with Image Based CNN Features
• Cluster Pruning: An Efficient Filter Pruning Method for Edge AI Vision Applications
• DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer
• Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning
• SiFall: Practical Online Fall Detection with RF Sensing
• BYOL for Audio: Exploring Pre-trained General-purpose Audio Representations
• BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks
• Automatic Vision-Based Parking Slot Detection and Occupancy Classification
• Damage detection using in-domain and cross-domain transfer learning
• J-MOD${}^2$: Joint Monocular Obstacle Detection and Depth Estimation
• Real-time Plant Health Assessment Via Implementing Cloud-based Scalable Transfer Learning On AWS DeepLens
• Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction
• Edge and Identity Preserving Network for Face Super-Resolution
• Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization
• Deep Learning Based Large-Scale Automatic Satellite Crosswalk Classification
• Adversarial Multi-Source Transfer Learning in Healthcare: Application to Glucose Prediction for Diabetic People
• VITAL: VIsual Tracking via Adversarial Learning
• Deep Feature Space: A Geometrical Perspective
• Deep Matching Prior Network: Toward Tighter Multi-oriented Text Detection
• Multimodal Feature Fusion and Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification
• Universal Activation Function For Machine Learning
• Excessive Invariance Causes Adversarial Vulnerability
• Vehicle Detection of Multi-source Remote Sensing Data Using Active Fine-tuning Network
• Making DeepFakes more spurious: evading deep face forgery detection via trace removal attack
• A Survey of Deep Learning for Scientific Discovery
• RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification
• Gaussian Splatting: 3D Reconstruction and Novel View Synthesis, a Review
• Improving Adversarial Robustness via Channel-wise Activation Suppressing
• Analysis and Optimization of Convolutional Neural Network Architectures
• A Systematic Review on Computer Vision-Based Parking Lot Management Applied on Public Datasets
• Visual Relationship Detection with Internal and External Linguistic Knowledge Distillation
• Biometric Template Protection for Neural-Network-based Face Recognition Systems: A Survey of Methods and Evaluation Techniques
• HEU Emotion: A Large-scale Database for Multi-modal Emotion Recognition in the Wild
• WHOI-Plankton- A Large Scale Fine Grained Visual Recognition Benchmark Dataset for Plankton Classification
• Near-Optimal Sparse Allreduce for Distributed Deep Learning
• A Comprehensive Survey on Hardware-Aware Neural Architecture Search
• $\mathcal{G}$-softmax: Improving Intra-class Compactness and Inter-class Separability of Features
• 2017 Robotic Instrument Segmentation Challenge
• Automatic identification of fossils and abiotic grains during carbonate microfacies analysis using deep convolutional neural networks
• RDP-Net: Region Detail Preserving Network for Change Detection
• Deep Transfer Learning for Star Cluster Classification: I. Application to the PHANGS-HST Survey
• Automatic construction of Chinese herbal prescription from tongue image via CNNs and auxiliary latent therapy topics
• Multimodal Convolutional Neural Networks for Matching Image and Sentence
• Structured Probabilistic Pruning for Convolutional Neural Network Acceleration
• TFPose: Direct Human Pose Estimation with Transformers
• Asymmetric Hash Code Learning for Remote Sensing Image Retrieval
• Semi-supervised Feature Learning For Improving Writer Identification
• DLBI: Deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy
• Reverse Attention for Salient Object Detection
• T-former: An Efficient Transformer for Image Inpainting
• Improving Fast Segmentation With Teacher-student Learning
• Gaussian Dynamic Convolution for Efficient Single-Image Segmentation
• Deep Hyperspherical Learning
• Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks
• Rhythm is a Dancer: Music-Driven Motion Synthesis with Global Structure
• Graying the black box: Understanding DQNs
• Average Biased ReLU Based CNN Descriptor for Improved Face Retrieval
• Data Augmentation for Object Detection via Progressive and Selective Instance-Switching
• Parallel Tracking and Verifying: A Framework for Real-Time and High Accuracy Visual Tracking
• Artificial Intelligence in Glioma Imaging: Challenges and Advances
• AutoTune: Automatically Tuning Convolutional Neural Networks for Improved Transfer Learning
• MGML: Multi-Granularity Multi-Level Feature Ensemble Network for Remote Sensing Scene Classification
• Evidential fully convolutional network for semantic segmentation
• Continuous Human Action Recognition for Human-Machine Interaction: A Review
• Improving Face-Based Age Estimation with Attention-Based Dynamic Patch Fusion
• Are Accuracy and Robustness Correlated?
• Context-Aware Embeddings for Automatic Art Analysis
• SEMI-FND: Stacked Ensemble Based Multimodal Inference For Faster Fake News Detection
• Semantics-Consistent Representation Learning for Remote Sensing Image-Voice Retrieval
• On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty
• AppPoet: Large Language Model based Android malware detection via multi-view prompt engineering
• Learning Spatial Regularization with Image-level Supervisions for Multi-label Image Classification
• Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation
• Deciding How to Decide: Dynamic Routing in Artificial Neural Networks
• Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations
• Resolving Class Imbalance in Object Detection with Weighted Cross Entropy Losses
• Towards Image-based Automatic Meter Reading in Unconstrained Scenarios: A Robust and Efficient Approach
• Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures
• Label Efficient Learning of Transferable Representations across Domains and Tasks
• Overcoming Small Minirhizotron Datasets Using Transfer Learning
• Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks
• Mosaic Flows: A Transferable Deep Learning Framework for Solving PDEs on Unseen Domains
• PixelNet: Towards a General Pixel-level Architecture
• Biceph-Net: A robust and lightweight framework for the diagnosis of Alzheimer's disease using 2D-MRI scans and deep similarity learning
• ExFuse: Enhancing Feature Fusion for Semantic Segmentation
• Learning Complexity-Aware Cascades for Deep Pedestrian Detection
• Receptive Field Regularization Techniques for Audio Classification and Tagging with Deep Convolutional Neural Networks
• Plant identification based on noisy web data: the amazing performance of deep learning (LifeCLEF 2017)
• Audio-Driven Talking Face Video Generation with Dynamic Convolution Kernels
• Real-time Neural Network Inference on Extremely Weak Devices: Agile Offloading with Explainable AI
• Deep Semantic Segmentation in an AUV for Online Posidonia Oceanica Meadows identification
• Identifying Reionization Sources from 21cm Maps using Convolutional Neural Networks
• Informing Artificial Intelligence Generative Techniques using Cognitive Theories of Human Creativity
• Physics-Informed Supervised Residual Learning for Electromagnetic Modeling
• Modeling Context in Referring Expressions
• Driving Scene Perception Network: Real-time Joint Detection, Depth Estimation and Semantic Segmentation
• Tetrad: Actively Secure 4PC for Secure Training and Inference
• An End-to-End Breast Tumour Classification Model Using Context-Based Patch Modelling- A BiLSTM Approach for Image Classification
• Spatial Correlation and Value Prediction in Convolutional Neural Networks
• Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks
• Learning With Context Feedback Loop for Robust Medical Image Segmentation
• Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling
• OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer
• Lightweight Pixel Difference Networks for Efficient Visual Representation Learning
• Forecasting Action through Contact Representations from First Person Video
• A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations
• Learning Deep Structure-Preserving Image-Text Embeddings
• Online Multi-Object Tracking Using CNN-based Single Object Tracker with Spatial-Temporal Attention Mechanism
• Deep Multimodal Image-Repurposing Detection
• Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
• Computer Vision on X-ray Data in Industrial Production and Security Applications: A Comprehensive Survey
• Privacy Protection in Street-View Panoramas using Depth and Multi-View Imagery
• Restricting the Flow: Information Bottlenecks for Attribution
• Neural Predictive Coding using Convolutional Neural Networks towards Unsupervised Learning of Speaker Characteristics
• Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images
• Segmentation of histological images and fibrosis identification with a convolutional neural network
• Compacting Deep Neural Networks for Internet of Things: Methods and Applications
• Video Coding for Machines with Feature-Based Rate-Distortion Optimization
• Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison
• Deblending galaxy superpositions with branched generative adversarial networks
• Multispectral Deep Neural Networks for Pedestrian Detection
• Plant identification in an open-world (LifeCLEF 2016)
• Adversarial adaptive 1-D convolutional neural networks for bearing fault diagnosis under varying working condition
• To Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction
• Detect Faces Efficiently: A Survey and Evaluations
• PixelLink: Detecting Scene Text via Instance Segmentation
• Dataset Condensation with Differentiable Siamese Augmentation
• DeepStreaks: identifying fast-moving objects in the Zwicky Transient Facility data with deep learning
• Frustratingly Simple Domain Generalization via Image Stylization
• Real-time Semantic Image Segmentation via Spatial Sparsity
• Rotate to Attend: Convolutional Triplet Attention Module
• Multi-label Image Recognition by Recurrently Discovering Attentional Regions
• Strong error analysis for stochastic gradient descent optimization algorithms
• Revisiting the Effectiveness of Off-the-shelf Temporal Modeling Approaches for Large-scale Video Classification
• Knowledge-Based Prediction of Network Controllability Robustness
• Label-free colorectal cancer screening using deep learning and spatial light interference microscopy (SLIM)
• Group Re-Identification with Multi-grained Matching and Integration
• Sky Imager-Based Forecast of Solar Irradiance Using Machine Learning
• Crossbar-aware neural network pruning
• All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene Classification
• Context-Dependent Diffusion Network for Visual Relationship Detection
• segDeepM: Exploiting Segmentation and Context in Deep Neural Networks for Object Detection
• PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking
• Training Neural Networks Using Features Replay
• Soft Sampling for Robust Object Detection
• Multi-Sample Dropout for Accelerated Training and Better Generalization
• Multi-class Skin Cancer Classification Architecture Based on Deep Convolutional Neural Network
• Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function
• Collective Decision of One-vs-Rest Networks for Open Set Recognition
• A superpixel-driven deep learning approach for the analysis of dermatological wounds
• Restructuring Batch Normalization to Accelerate CNN Training
• WeGleNet: A Weakly-Supervised Convolutional Neural Network for the Semantic Segmentation of Gleason Grades in Prostate Histology Images
• Deep Learning the City : Quantifying Urban Perception At A Global Scale
• Progressive Joint Low-light Enhancement and Noise Removal for Raw Images
• A survey of biodiversity informatics: Concepts, practices, and challenges
• Zero-Shot Learning via Class-Conditioned Deep Generative Models
• Going Deeper Into Face Detection: A Survey
• EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition
• It GAN DO Better: GAN-based Detection of Objects on Images with Varying Quality
• Learning from Synthetic Data for Crowd Counting in the Wild
• DeepWarp: DNN-based Nonlinear Deformation
• Natural Language Understanding with Distributed Representation
• Poverty Prediction with Public Landsat 7 Satellite Imagery and Machine Learning
• FPGA-Based CNN Inference Accelerator Synthesized from Multi-Threaded C Software
• Deep Predictive Coding Network for Object Recognition
• Learnable Gated Temporal Shift Module for Deep Video Inpainting
• SS-CAM: Smoothed Score-CAM for Sharper Visual Feature Localization
• TBC-Net: A real-time detector for infrared small target detection using semantic constraint
• Gait recognition via deep learning of the center-of-pressure trajectory
• OmniArt: Multi-task Deep Learning for Artistic Data Analysis
• RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution
• Universal Domain Adaptation for Remote Sensing Image Scene Classification
• Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective
• Deep learning for plasma tomography using the bolometer system at JET
• Range Loss for Deep Face Recognition with Long-tail
• Registration-free Face-SSD: Single shot analysis of smiles, facial attributes, and affect in the wild
• REMAP: Multi-layer entropy-guided pooling of dense CNN features for image retrieval
• RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving
• Locally Adaptive Structure and Texture Similarity for Image Quality Assessment
• MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
• NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm
• Automated detection of vulnerable plaque in intravascular ultrasound images
• A Constructive Prediction of the Generalization Error Across Scales
• Pushing the Boundaries of Boundary Detection using Deep Learning
• Skin cancer detection based on deep learning and entropy to detect outlier samples
• The importance of better models in stochastic optimization
• Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene Segmentation
• Harnessing Multi-View Perspective of Light Fields for Low-Light Imaging
• Low-complexity Approximate Convolutional Neural Networks
• Defending Model Inversion and Membership Inference Attacks via Prediction Purification
• Detecting Adversarial Examples by Input Transformations, Defense Perturbations, and Voting
• DFTerNet: Towards 2-bit Dynamic Fusion Networks for Accurate Human Activity Recognition
• SAAN: Similarity-aware attention flow network for change detection with VHR remote sensing images
• Effects of Degradations on Deep Neural Network Architectures
• Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks
• pCAMP: Performance Comparison of Machine Learning Packages on the Edges
• Augment your batch: better training with larger batches
• MultiRes-NetVLAD: Augmenting Place Recognition Training with Low-Resolution Imagery
• Black-Box Adversarial Attack with Transferable Model-based Embedding
• DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality Annotations
• A Survey on Deep Learning Methods for Robot Vision
• Deep Learning of High-Order Interactions for Protein Interface Prediction
• Unsupervised Deep Representation Learning and Few-Shot Classification of PolSAR Images
• ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events
• Video Semantic Segmentation with Distortion-Aware Feature Correction
• Deep convolutional filter banks for texture recognition and segmentation
• SNIFF: Reverse Engineering of Neural Networks with Fault Attacks
• Early Exit or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images
• Guided Hybrid Quantization for Object detection in Multimodal Remote Sensing Imagery via One-to-one Self-teaching
• PoTrojan: powerful neural-level trojan designs in deep learning models
• Learning nonlocal constitutive models with neural networks
• A Efficient Multimodal Framework for Large Scale Emotion Recognition by Fusing Music and Electrodermal Activity Signals
• SiamVGG: Visual Tracking using Deeper Siamese Networks
• LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision
• An Experimental Study of Reduced-Voltage Operation in Modern FPGAs for Neural Network Acceleration
• A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective
• Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey
• Deep Multi-Task Learning for Malware Image Classification
• 3D Object Proposals using Stereo Imagery for Accurate Object Class Detection
• Poverty Mapping Using Convolutional Neural Networks Trained on High and Medium Resolution Satellite Images, With an Application in Mexico
• Large-Scale Image Retrieval with Attentive Deep Local Features
• Fast Scene Understanding for Autonomous Driving
• Deep learning based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms
• Optimizing and Visualizing Deep Learning for Benign/Malignant Classification in Breast Tumors
• Beyond saliency: understanding convolutional neural networks from saliency prediction on layer-wise relevance propagation
• Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks
• Hermite-Gaussian Mode Detection via Convolution Neural Networks
• How convolutional neural network see the world - A survey of convolutional neural network visualization methods
• Three Mechanisms of Weight Decay Regularization
• Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods
• On Mutual Information in Contrastive Learning for Visual Representations
• Three-dimensional Generative Adversarial Nets for Unsupervised Metal Artifact Reduction
• Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling
• Head2Head++: Deep Facial Attributes Re-Targeting
• Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
• Project Achoo: A Practical Model and Application for COVID-19 Detection from Recordings of Breath, Voice, and Cough
• Facial-Sketch Synthesis: A New Challenge
• Decision and Feature Level Fusion of Deep Features Extracted from Public COVID-19 Data-sets
• Relational Knowledge Distillation
• MTRNet++: One-stage Mask-based Scene Text Eraser
• Deep Molecular Dreaming: Inverse machine learning for de-novo molecular design and interpretability with surjective representations
• End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks
• Classification of Point Cloud Scenes with Multiscale Voxel Deep Network
• Drawing Early-Bird Tickets: Towards More Efficient Training of Deep Networks
• Combining pretrained CNN feature extractors to enhance clustering of complex natural images
• Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks
• Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation
• Visual Causal Feature Learning
• On-Device Machine Learning: An Algorithms and Learning Theory Perspective
• A Systematic Approach to Blocking Convolutional Neural Networks
• Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training
• On the effectiveness of task granularity for transfer learning
• Query-efficient Meta Attack to Deep Neural Networks
• Neural system identification for large populations separating "what" and "where"
• AstroVaDEr: Astronomical Variational Deep Embedder for Unsupervised Morphological Classification of Galaxies and Synthetic Image Generation
• Unsupervised Deep Multi-focus Image Fusion
• Learn the new, keep the old: Extending pretrained models with new anatomy and images
• ChipQA: No-Reference Video Quality Prediction via Space-Time Chips
• Enhanced Security and Privacy via Fragmented Federated Learning
• Vertex and Energy Reconstruction in JUNO with Machine Learning Methods
• HRel: Filter Pruning based on High Relevance between Activation Maps and Class Labels
• Robust Screening of COVID-19 from Chest X-ray via Discriminative Cost-Sensitive Learning
• Biased Importance Sampling for Deep Neural Network Training
• Love Thy Neighbors: Image Annotation by Exploiting Image Metadata
• Precise Proximal Femur Fracture Classification for Interactive Training and Surgical Planning
• Looking at Outfit to Parse Clothing
• Cognitively-Inspired Model for Incremental Learning Using a Few Examples
• Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery
• A Closer Look at Weak Label Learning for Audio Events
• Tensorized Embedding Layers for Efficient Model Compression
• Attention Guided Low-light Image Enhancement with a Large Scale Low-light Simulation Dataset
• A Survey on State-of-the-art Deep Learning Applications and Challenges
• Ask Me Anything: Free-form Visual Question Answering Based on Knowledge from External Sources
• DeepReg: a deep learning toolkit for medical image registration
• C-VQA: A Compositional Split of the Visual Question Answering (VQA) v1.0 Dataset
• Local Directional Relation Pattern for Unconstrained and Robust Face Retrieval
• Salient Object Detection via Dynamic Scale Routing
• A Human-Grounded Evaluation Benchmark for Local Explanations of Machine Learning
• Identifying Object States in Cooking-Related Images
• WasteNet: Waste Classification at the Edge for Smart Bins
• Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence
• Beyond Narrative Description: Generating Poetry from Images by Multi-Adversarial Training
• Music Genre Classification using Machine Learning Techniques
• Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation
• A Two-Stage Approach to Device-Robust Acoustic Scene Classification
• Dense Prediction on Sequences with Time-Dilated Convolutions for Speech Recognition
• Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning
• A fully end-to-end deep learning approach for real-time simultaneous 3D reconstruction and material recognition
• RGB Image Classification with Quantum Convolutional Ansaetze
• DeepMerge II: Building Robust Deep Learning Algorithms for Merging Galaxy Identification Across Domains
• Image Captioning at Will: A Versatile Scheme for Effectively Injecting Sentiments into Image Descriptions
• Detecting Dementia from Speech and Transcripts using Transformers
• Deep Convolutional Neural Network Design Patterns
• Learning Texture Transformer Network for Image Super-Resolution
• RAPIDNN: In-Memory Deep Neural Network Acceleration Framework
• Moment Matching for Multi-Source Domain Adaptation
• RepVGG: Making VGG-style ConvNets Great Again
• 2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy
• Time-series modeling with undecimated fully convolutional neural networks
• Visualizing Deep Networks by Optimizing with Integrated Gradients
• Unlearnable Examples: Making Personal Data Unexploitable
• Deep Learning based HEp-2 Image Classification: A Comprehensive Review
• Shift-Net: Image Inpainting via Deep Feature Rearrangement
• Evaluating the Readability of Force Directed Graph Layouts: A Deep Learning Approach
• The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems
• YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video
• Hybrid Tensor Decomposition in Neural Network Compression
• No-reference Screen Content Image Quality Assessment with Unsupervised Domain Adaptation
• GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector
• Synergic Adversarial Label Learning for Grading Retinal Diseases via Knowledge Distillation and Multi-task Learning
• Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data Augmentation
• Dual Attention Networks for Multimodal Reasoning and Matching
• Training Deep Networks with Structured Layers by Matrix Backpropagation
• Compact Bilinear Pooling
• Automatic detection of lumen and media in the IVUS images using U-Net with VGG16 Encoder
• Computer-Aided Diagnosis of Label-Free 3-D Optical Coherence Microscopy Images of Human Cervical Tissue
• Deep Architectures for Automated Seizure Detection in Scalp EEGs
• Chart-Text: A Fully Automated Chart Image Descriptor
• Exploring convolutional neural networks with transfer learning for diagnosing Lyme disease from skin lesion images
• Deep Transfer Learning Methods for Colon Cancer Classification in Confocal Laser Microscopy Images
• Understanding trained CNNs by indexing neuron selectivity
• CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning
• Enabling FDD Massive MIMO through Deep Learning-based Channel Prediction
• Reweighted Proximal Pruning for Large-Scale Language Representation
• Uncertainty-Induced Transferability Representation for Source-Free Unsupervised Domain Adaptation
• ACFNet: Attentional Class Feature Network for Semantic Segmentation
• Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation
• Attentional Graph Neural Network for Parking-slot Detection
• An Unsupervised Game-Theoretic Approach to Saliency Detection
• COutfitGAN: Learning to Synthesize Compatible Outfits Supervised by Silhouette Masks and Fashion Styles
• Using convolutional neural networks to predict galaxy metallicity from three-color images
• FakeNews: GAN-based generation of realistic 3D volumetric data -- A systematic review and taxonomy
• Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection
• Industrial object, machine part and defect recognition towards fully automated industrial monitoring employing deep learning. The case of multilevel VGG19
• Fidelity-Controllable Extreme Image Compression with Generative Adversarial Networks
• Automatic Large-Scale Data Acquisition via Crowdsourcing for Crosswalk Classification: A Deep Learning Approach
• Time-Travel Rephotography
• Unsupervised Semantic-based Aggregation of Deep Convolutional Features
• AutoGAN-based Dimension Reduction for Privacy Preservation
• TensorOpt: Exploring the Tradeoffs in Distributed DNN Training with Auto-Parallelism
• Occlusion Robust Face Recognition Based on Mask Learning with PairwiseDifferential Siamese Network
• Dense and Diverse Capsule Networks: Making the Capsules Learn Better
• Polarity Loss for Zero-shot Object Detection
• uTHCD: A New Benchmarking for Tamil Handwritten OCR
• Face Transformer for Recognition
• Transfer Learning and SpecAugment applied to SSVEP Based BCI Classification
• This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition
• Convolutional Neural Nets in Chemical Engineering: Foundations, Computations, and Applications
• Word2VisualVec: Image and Video to Sentence Matching by Visual Feature Prediction
• Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
• Appearance-and-Relation Networks for Video Classification
• Visual Question Answering: A Survey of Methods and Datasets
• WordSup: Exploiting Word Annotations for Character based Text Detection
• Generalized BackPropagation, Étude De Cas: Orthogonality
• Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures
• Prime Sample Attention in Object Detection
• An Efficient Framework for Visible-Infrared Cross Modality Person Re-Identification
• Detecting Multi-Oriented Text with Corner-based Region Proposals
• Support Vector Guided Softmax Loss for Face Recognition
• MatFormer: A Generative Model for Procedural Materials
• Photonic Convolution Neural Network Based on Interleaved Time-Wavelength Modulation
• Effective Image Differencing with ConvNets for Real-time Transient Hunting
• Semantic Segmentation with Labeling Uncertainty and Class Imbalance
• Style and Pose Control for Image Synthesis of Humans from a Single Monocular View
• Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey
• Sim2Real View Invariant Visual Servoing by Recurrent Control
• Adversarial Examples - A Complete Characterisation of the Phenomenon
• EvalAI: Towards Better Evaluation Systems for AI Agents
• Detecting Visual Design Principles in Art and Architecture through Deep Convolutional Neural Networks
• Deep Slow Motion Video Reconstruction with Hybrid Imaging System
• Low-memory GEMM-based convolution algorithms for deep neural networks
• Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
• Are All Training Examples Created Equal? An Empirical Study
• Improving One-Shot Learning through Fusing Side Information
• Comprehensive Instructional Video Analysis: The COIN Dataset and Performance Evaluation
• Visual Affordance and Function Understanding: A Survey
• A Geometric Analysis of Neural Collapse with Unconstrained Features
• Precise Repositioning of Robotic Ultrasound: Improving Registration-based Motion Compensation using Ultrasound Confidence Optimization
• Detecting solar system objects with convolutional neural networks
• Dilated-Scale-Aware Attention ConvNet For Multi-Class Object Counting
• Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
• Only Train Once: A One-Shot Neural Network Training And Pruning Framework
• Convolutional Sparse Kernel Network for Unsupervised Medical Image Analysis
• VWA: Hardware Efficient Vectorwise Accelerator for Convolutional Neural Network
• High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
• Physically-Constrained Transfer Learning through Shared Abundance Space for Hyperspectral Image Classification
• ThunderNet: Towards Real-time Generic Object Detection
• Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks
• Evaluation of Big Data based CNN Models in Classification of Skin Lesions with Melanoma
• An Inverse Procedural Modeling Pipeline for SVBRDF Maps
• LFFD: A Light and Fast Face Detector for Edge Devices
• Disaster Monitoring using Unmanned Aerial Vehicles and Deep Learning
• An Empirical Study on Writer Identification & Verification from Intra-variable Individual Handwriting
• The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion
• ZenSVI: An Open-Source Software for the Integrated Acquisition, Processing and Analysis of Street View Imagery Towards Scalable Urban Science
• CXR-Net: An Encoder-Decoder-Encoder Multitask Deep Neural Network for Explainable and Accurate Diagnosis of COVID-19 pneumonia with Chest X-ray Images
• Medical Imaging and Computational Image Analysis in COVID-19 Diagnosis: A Review
• Adaptive 3D descattering with a dynamic synthesis network
• A Comprehensive Review of Modern Object Segmentation Approaches
• Towards Unconstrained Palmprint Recognition on Consumer Devices: a Literature Review
• Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning
• Defending Against Universal Attacks Through Selective Feature Regeneration
• Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference
• Data Distillation: Towards Omni-Supervised Learning
• Finite volume method network for acceleration of unsteady computational fluid dynamics: non-reacting and reacting flows
• Application of Multi-channel 3D-cube Successive Convolution Network for Convective Storm Nowcasting
• Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks
• Attention-gating for improved radio galaxy classification
• Multitask Learning and Multistage Fusion for Dimensional Audiovisual Emotion Recognition
• VCGAN: Video Colorization with Hybrid Generative Adversarial Network
• Automated Detection of Dolphin Whistles with Convolutional Networks and Transfer Learning
• Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval
• HCR-Net: A deep learning based script independent handwritten character recognition network
• An Interpretable Multiple-Instance Approach for the Detection of referable Diabetic Retinopathy from Fundus Images
• S3D: Single Shot multi-Span Detector via Fully 3D Convolutional Networks
• Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language
• High Performance Zero-Memory Overhead Direct Convolutions
• Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation
• When Explanations Lie: Why Many Modified BP Attributions Fail
• Multi-Channel CNN-based Object Detection for Enhanced Situation Awareness
• An Analytical Estimation of Spiking Neural Networks Energy Efficiency
• Dank or Not? -- Analyzing and Predicting the Popularity of Memes on Reddit
• Learning Black-Box Attackers with Transferable Priors and Query Feedback
• Boosting Occluded Image Classification via Subspace Decomposition Based Estimation of Deep Features
• Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation
• On the Computational Inefficiency of Large Batch Sizes for Stochastic Gradient Descent
• Interpretable CNN-Multilevel Attention Transformer for Rapid Recognition of Pneumonia from Chest X-Ray Images
• Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation
• Cascaded Revision Network for Novel Object Captioning
• Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation
• Attention-guided Chained Context Aggregation for Semantic Segmentation
• Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation
• Multimedia Semantic Integrity Assessment Using Joint Embedding Of Images And Text
• Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation
• Separating the EoR Signal with a Convolutional Denoising Autoencoder: A Deep-learning-based Method
• Fully Automatic Electrocardiogram Classification System based on Generative Adversarial Network with Auxiliary Classifier
• DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis
• Deep learning for the detection of machining vibration chatter
• Annotating Object Instances with a Polygon-RNN
• Deep Learning for Semantic Part Segmentation with High-Level Guidance
• Video Moment Retrieval from Text Queries via Single Frame Annotation
• Adversarial Patch Attacks on Monocular Depth Estimation Networks
• Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey
• Radar-based Feature Design and Multiclass Classification for Road User Recognition
• Deep Stacked Hierarchical Multi-patch Network for Image Deblurring
• Using Deep Learning to Localize Gravitational Wave Sources
• HD-CNN: Hierarchical Deep Convolutional Neural Network for Large Scale Visual Recognition
• An Efficient Mixture of Deep and Machine Learning Models for COVID-19 and Tuberculosis Detection Using X-Ray Images in Resource Limited Settings
• Deep Radiomics for Brain Tumor Detection and Classification from Multi-Sequence MRI
• Rich Image Captioning in the Wild
• StreetStyle: Exploring world-wide clothing styles from millions of photos
• Galaxy cluster mass estimation with deep learning and hydrodynamical simulations
• Multi-adversarial Faster-RCNN for Unrestricted Object Detection
• Vehicle-Rear: A New Dataset to Explore Feature Fusion for Vehicle Identification Using Convolutional Neural Networks
• Bounding Box Regression with Uncertainty for Accurate Object Detection
• Deepfake Detection Scheme Based on Vision Transformer and Distillation
• Recurrent Neural Network for (Un-)supervised Learning of Monocular VideoVisual Odometry and Depth
• YOLO-LITE: A Real-Time Object Detection Algorithm Optimized for Non-GPU Computers
• End-to-End Dense Video Captioning with Masked Transformer
• Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions
• Food Image Recognition by Using Convolutional Neural Networks (CNNs)
• Video Big Data Analytics in the Cloud: A Reference Architecture, Survey, Opportunities, and Open Research Issues
• BlackMarks: Blackbox Multibit Watermarking for Deep Neural Networks
• Multi-task, multi-label and multi-domain learning with residual convolutional networks for emotion recognition
• Learning to Recognize 3D Human Action from A New Skeleton-based Representation Using Deep Convolutional Neural Networks
• Two-Phase Learning for Weakly Supervised Object Localization
• E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs
• Transient-optimised real-bogus classification with Bayesian Convolutional Neural Networks -- sifting the GOTO candidate stream
• PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments
• A Survey of FPGA Based Deep Learning Accelerators: Challenges and Opportunities
• End-to-end Multi-Modal Multi-Task Vehicle Control for Self-Driving Cars with Visual Perception
• Detecting Hate Speech in Multi-modal Memes
• Neural ranking models for document retrieval
• WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection
• Decoding ECoG signal into 3D hand translation using deep learning
• Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification
• Image Companding and Inverse Halftoning using Deep Convolutional Neural Networks
• Cross-head Supervision for Crowd Counting with Noisy Annotations
• Acoustic Scene Classification with Squeeze-Excitation Residual Networks
• Generative Adversarial Privacy
• Accounting for Variance in Machine Learning Benchmarks
• Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes
• Convolutional Ordinal Regression Forest for Image Ordinal Estimation
• Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach
• Predicting Elastic Properties of Materials from Electronic Charge Density Using 3D Deep Convolutional Neural Networks
• Inductive Bias of Deep Convolutional Networks through Pooling Geometry
• Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks
• A deep convolutional neural network for classification of Aedes albopictus mosquitoes
• Seeing voices and hearing voices: learning discriminative embeddings using cross-modal self-supervision
• Photo Aesthetics Ranking Network with Attributes and Content Adaptation
• Improved training of binary networks for human pose estimation and image recognition
• Towards End-to-End Car License Plates Detection and Recognition with Deep Neural Networks
• Combining Background Subtraction Algorithms with Convolutional Neural Network
• A pipeline for automated processing of Corona KH-4 (1962-1972) stereo imagery
• BlockDrop: Dynamic Inference Paths in Residual Networks
• Visually grounded models of spoken language: A survey of datasets, architectures and evaluation techniques
• Skeleton-based Action Recognition of People Handling Objects
• Component Segmentation of Engineering Drawings Using Graph Convolutional Networks
• Suppress and Balance: A Simple Gated Network for Salient Object Detection
• Advbox: a toolbox to generate adversarial examples that fool neural networks
• Efficiently utilizing complex-valued PolSAR image data via a multi-task deep learning framework
• Label Noise Types and Their Effects on Deep Learning
• Have You Stolen My Model? Evasion Attacks Against Deep Neural Network Watermarking Techniques
• Predictive-Corrective Networks for Action Detection
• HyperFusion: A Hypernetwork Approach to Multimodal Integration of Tabular and Medical Imaging Data for Predictive Modeling
• When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition
• Real-time automatic polyp detection in colonoscopy using feature enhancement module and spatiotemporal similarity correlation unit
• AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing
• Hierarchical binary CNNs for landmark localization with limited resources
• Efficient Video Object Segmentation via Network Modulation
• ATFaceGAN: Single Face Image Restoration and Recognition from Atmospheric Turbulence
• Just Noticeable Difference for Deep Machine Vision
• TEA: Temporal Excitation and Aggregation for Action Recognition
• From Hashing to CNNs: Training BinaryWeight Networks via Hashing
• Nonparametric Variational Auto-encoders for Hierarchical Representation Learning
• DeepCOVIDExplainer: Explainable COVID-19 Diagnosis Based on Chest X-ray Images
• Knowledge Distillation approach towards Melanoma Detection
• DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning
• Orthogonal Gradient Descent for Continual Learning
• ShiftAddNet: A Hardware-Inspired Deep Network
• Untangling Local and Global Deformations in Deep Convolutional Networks for Image Classification and Sliding Window Detection
• Boosting Image Captioning with Attributes
• Structured Pruning of Deep Convolutional Neural Networks
• Recent progress in the JARVIS infrastructure for next-generation data-driven materials design
• NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks
• Open-Set Recognition Using Intra-Class Splitting
• SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning
• Triplet-Center Loss for Multi-View 3D Object Retrieval
• EasyQuant: Post-training Quantization via Scale Optimization
• Condition-Invariant Multi-View Place Recognition
• Learning from Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation
• A Convolutional Neural Network Approach to the Classification of Engineering Models
• Stochastic AUC Maximization with Deep Neural Networks
• Graph-based Knowledge Distillation by Multi-head Attention Network
• Noise Estimation for Generative Diffusion Models
• Anchor Cascade for Efficient Face Detection
• SPP-Net: Deep Absolute Pose Regression with Synthetic Views
• End-to-end Learning of Action Detection from Frame Glimpses in Videos
• Multi-Residual Networks: Improving the Speed and Accuracy of Residual Networks
• NITI: Training Integer Neural Networks Using Integer-only Arithmetic
• Unsupervised End-to-end Learning for Deformable Medical Image Registration
• Modeling nanoconfinement effects using active learning
• Learning A Physical Long-term Predictor
• Searching Central Difference Convolutional Networks for Face Anti-Spoofing
• Reference-based Video Super-Resolution Using Multi-Camera Video Triplets
• End-to-end Alternating Optimization for Real-World Blind Super Resolution
• Bi-Directional Cascade Network for Perceptual Edge Detection
• Learning Loss for Test-Time Augmentation
• Fully Convolutional Networks for Chip-wise Defect Detection Employing Photoluminescence Images
• Semantic-aware Texture-Structure Feature Collaboration for Underwater Image Enhancement
• Improving Efficiency in Convolutional Neural Network with Multilinear Filters
• Hierarchical Disentanglement-Alignment Network for Robust SAR Vehicle Recognition
• Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution
• Structure-Preserving Super Resolution with Gradient Guidance
• Prior-Guided Deep Interference Mitigation for FMCW Radars
• Ensemble learning in CNN augmented with fully connected subnetworks
• Estimation of BMI from Facial Images using Semantic Segmentation based Region-Aware Pooling
• Deep learning based cough detection camera using enhanced features
• Ranking to Learn: Feature Ranking and Selection via Eigenvector Centrality
• Biometric Backdoors: A Poisoning Attack Against Unsupervised Template Updating
• FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition
• Parallel Tracking and Verifying
• Joint Transmission Map Estimation and Dehazing using Deep Networks
• R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections
• Big Batch SGD: Automated Inference using Adaptive Batch Sizes
• Trading-off Accuracy and Energy of Deep Inference on Embedded Systems: A Co-Design Approach
• Learning what to look in chest X-rays with a recurrent visual attention model
• Pragmatic inference and visual abstraction enable contextual flexibility during visual communication
• Robust Iris Segmentation Based on Fully Convolutional Networks and Generative Adversarial Networks
• Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models
• Learning Depth with Convolutional Spatial Propagation Network
• Towards Better Understanding Attribution Methods
• Expanded Parts Model for Semantic Description of Humans in Still Images
• Fingerprint Presentation Attack Detector Using Global-Local Model
• Convolutional neural networks enable high-fidelity prediction of path-dependent diffusion barrier spectra in multi-principal element alloys
• FVQA: Fact-based Visual Question Answering
• Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving
• Fast and accurate computation of orthogonal moments for texture analysis
• LDNet: End-to-End Lane Marking Detection Approach Using a Dynamic Vision Sensor
• Complexity-Driven CNN Compression for Resource-constrained Edge AI
• Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization
• New Bag of Deep Visual Words based features to classify chest x-ray images for COVID-19 diagnosis
• Compact Deep Convolutional Neural Networks With Coarse Pruning
• Texture-Semantic Collaboration Network for ORSI Salient Object Detection
• Polarimetric Thermal to Visible Face Verification via Attribute Preserved Synthesis
• Ensemble Federated Learning: an approach for collaborative pneumonia diagnosis
• Everybody Sign Now: Translating Spoken Language to Photo Realistic Sign Language Video
• PolyNet: A Pursuit of Structural Diversity in Very Deep Networks
• Adversarial Unlearning of Backdoors via Implicit Hypergradient
• ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition
• Saccader: Improving Accuracy of Hard Attention Models for Vision
• MANAS: Multi-Scale and Multi-Level Neural Architecture Search for Low-Dose CT Denoising
• Learning from Few Samples: A Survey
• Multimodal Attention for Neural Machine Translation
• Deep learning approach for identification of HII regions during reionization in 21-cm observations
• Improving Deep Facial Phenotyping for Ultra-rare Disorder Verification Using Model Ensembles
• Dimensionality Reduction using Similarity-induced Embeddings
• On-device Training: A First Overview on Existing Systems
• Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal
• Instance-Aware Representation Learning and Association for Online Multi-Person Tracking
• Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching
• Crowd Counting with Deep Structured Scale Integration Network
• DCFNet: Deep Neural Network with Decomposed Convolutional Filters
• Learning Deep Morphological Networks with Neural Architecture Search
• Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation
• FlexHDR: Modelling Alignment and Exposure Uncertainties for Flexible HDR Imaging
• Mask-Guided Attention Network for Occluded Pedestrian Detection
• i3PosNet: Instrument Pose Estimation from X-Ray in temporal bone surgery
• Identity-Aware Textual-Visual Matching with Latent Co-attention
• Learning Unit State Recognition Based on Multi-channel Data Fusion
• On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations
• EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse
• Fast object detection in compressed JPEG Images
• LoGANv2: Conditional Style-Based Logo Generation with Generative Adversarial Networks
• XPipe: Efficient Pipeline Model Parallelism for Multi-GPU DNN Training
• Comparative evaluation of CNN architectures for Image Caption Generation
• Two-stage 2D-to-3D reconstruction of realistic microstructures: Implementation and numerical validation by effective properties
• Deep Watershed Transform for Instance Segmentation
• Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets
• Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
• Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge
• Resource-aware Time Series Imaging Classification for Wireless Link Layer Anomalies
• SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning
• DeepSpline: Data-Driven Reconstruction of Parametric Curves and Surfaces
• Quantum Transfer Learning for Real-World, Small, and High-Dimensional Datasets
• Hermes Attack: Steal DNN Models with Lossless Inference Accuracy
• Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design
• Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform
• Levelling the Playing Field: A Comprehensive Comparison of Visual Place Recognition Approaches under Changing Conditions
• GAP: Generalizable Approximate Graph Partitioning Framework
• Classification with 2-D Convolutional Neural Networks for breast cancer diagnosis
• Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting
• A Multimodal Memes Classification: A Survey and Open Research Issues
• A cascade network for Detecting COVID-19 using chest x-rays
• C^3 Framework: An Open-source PyTorch Code for Crowd Counting
• Generating Synthetic Data for Text Recognition
• Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering
• SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing
• Using Convolutional Neural Networks to Develop Starting Models for 2D Full Waveform Inversion
• Single-view 3D Mesh Reconstruction for Seen and Unseen Categories
• Lightweight Classification of IoT Malware based on Image Recognition
• GFD-SSD: Gated Fusion Double SSD for Multispectral Pedestrian Detection
• Unsupervised Deep Cross-modality Spectral Hashing
• Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement Learning
• MaxiMask and MaxiTrack: two new tools for identifying contaminants in astronomical images using convolutional neural networks
• Research Status of Deep Learning Methods for Rumor Detection
• The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks
• 'CADSketchNet' -- An Annotated Sketch dataset for 3D CAD Model Retrieval with Deep Neural Networks
• SSA-CNN: Semantic Self-Attention CNN for Pedestrian Detection
• Deep Fingerprinting: Undermining Website Fingerprinting Defenses with Deep Learning
• An attention-based multi-resolution model for prostate whole slide imageclassification and localization
• Interpretations are useful: penalizing explanations to align neural networks with prior knowledge
• Variational Information Distillation for Knowledge Transfer
• Need for Speed: A Benchmark for Higher Frame Rate Object Tracking
• HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network
• Deep Learning based Switching Filter for Impulsive Noise Removal in Color Images
• 3G structure for image caption generation
• Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights
• Acoustic scene classification using convolutional neural network and multiple-width frequency-delta data augmentation
• Temporally smooth online action detection using cycle-consistent future anticipation
• Facial Action Unit Detection via Adaptive Attention and Relation
• Deep speech inpainting of time-frequency masks
• General audio tagging with ensembling convolutional neural network and statistical features
• Towards High Performance Video Object Detection for Mobiles
• Energy efficiency in Edge TPU vs. embedded GPU for computer-aided medical imaging segmentation and classification
• Monocular Object Instance Segmentation and Depth Ordering with CNNs
• Interactive Video Object Segmentation in the Wild
• Adaptive Communication Strategies to Achieve the Best Error-Runtime Trade-off in Local-Update SGD
• Humans and deep networks largely agree on which kinds of variation make object recognition harder
• f-CNN${}^{\text{x}}$: A Toolflow for Mapping Multi-CNN Applications on FPGAs
• Towards a Visual Turing Challenge
• Salient Object Detection in Video using Deep Non-Local Neural Networks
• Passport-aware Normalization for Deep Model Protection
• Deep learning methods in speaker recognition: a review
• DecomposeMe: Simplifying ConvNets for End-to-End Learning
• A Comprehensive Survey of Machine Learning Applied to Radar Signal Processing
• H-CNN: Spatial Hashing Based CNN for 3D Shape Analysis
• Pulsar Candidate Identification Using Semi-Supervised Generative Adversarial Networks
• Cell Complex Neural Networks
• Sparsely-Connected Neural Networks: Towards Efficient VLSI Implementation of Deep Neural Networks
• Multimodal Unified Attention Networks for Vision-and-Language Interactions
• A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks
• Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos
• PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation
• PSLT: A Light-weight Vision Transformer with Ladder Self-Attention and Progressive Shift
• Attention Branch Network: Learning of Attention Mechanism for Visual Explanation
• Learning Deep NBNN Representations for Robust Place Categorization
• Multi-modality Latent Interaction Network for Visual Question Answering
• A Learning Framework for n-bit Quantized Neural Networks toward FPGAs
• Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural Networks
• Deep Convolutional Neural Networks with Merge-and-Run Mappings
• DSCA: A Dual-Stream Network with Cross-Attention on Whole-Slide Image Pyramids for Cancer Prognosis
• A Deep Learning Approach for Pose Estimation from Volumetric OCT Data
• A Transfer Learning Approach for Microstructure Reconstruction and Structure-property Predictions
• DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks
• Fuzzy Pooling
• Max-Mahalanobis Linear Discriminant Analysis Networks
• Perspective-Guided Convolution Networks for Crowd Counting
• Defensive Quantization: When Efficiency Meets Robustness
• Understanding and Comparing Deep Neural Networks for Age and Gender Classification
• Associatively Segmenting Instances and Semantics in Point Clouds
• Stacked Convolutional Neural Network for Diagnosis of COVID-19 Disease from X-ray Images
• Can WiFi Estimate Person Pose?
• Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification
• Towards Realistic Visual Dubbing with Heterogeneous Sources
• Mimic and Fool: A Task Agnostic Adversarial Attack
• RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network
• Multi-Graph Transformer for Free-Hand Sketch Recognition
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• An AutoML-based Approach to Multimodal Image Sentiment Analysis
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• Compressing Convolutional Neural Networks
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• Galaxy Morphology Classification using Neural Ordinary Differential Equations
• Quasi-Global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data
• Deep Triplet Ranking Networks for One-Shot Recognition
• Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation
• UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning
• Tiling and Stitching Segmentation Output for Remote Sensing: Basic Challenges and Recommendations
• LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy
• PAN: Towards Fast Action Recognition via Learning Persistence of Appearance
• A Non-Technical Survey on Deep Convolutional Neural Network Architectures
• Deep Co-supervision and Attention Fusion Strategy for Automatic COVID-19 Lung Infection Segmentation on CT Images
• The analysis of VERITAS muon images using convolutional neural networks
• Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses
• Contrastive Model Inversion for Data-Free Knowledge Distillation
• Convolutional Neural Pyramid for Image Processing
• Simple Does It: Weakly Supervised Instance and Semantic Segmentation
• A Novel Weight-Shared Multi-Stage CNN for Scale Robustness
• Clique pooling for graph classification
• BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations
• AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices
• Adversarial Sparse-View CBCT Artifact Reduction
• How higher goals are constructed and collapse under stress: a hierarchical Bayesian control systems perspective
• ROMANet: Fine-Grained Reuse-Driven Off-Chip Memory Access Management and Data Organization for Deep Neural Network Accelerators
• DCASE 2018 Challenge Surrey Cross-Task convolutional neural network baseline
• Pruning Convolutional Neural Networks with Self-Supervision
• Bilevel methods for image reconstruction
• A deep learning view of the census of galaxy clusters in IllustrisTNG
• Image Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metric
• Regularizing Deep Multi-Task Networks using Orthogonal Gradients
• Self-Improving Visual Odometry
• VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization
• Object Detection in Video with Spatiotemporal Sampling Networks
• Evaluating Saliency Map Explanations for Convolutional Neural Networks: A User Study
• Exploiting saliency for object segmentation from image level labels
• Accurate and Compact Convolutional Neural Networks with Trained Binarization
• NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing
• Multi-modal Deep Guided Filtering for Comprehensible Medical Image Processing
• It Takes Two to Tango: Towards Theory of AI's Mind
• Unsupervised Degradation Learning for Single Image Super-Resolution
• Generation of microbial colonies dataset with deep learning style transfer
• Pixel Deconvolutional Networks
• Unsupervised Deep Tracking
• DeepMVS: Learning Multi-view Stereopsis
• Im2Avatar: Colorful 3D Reconstruction from a Single Image
• PipeCNN: An OpenCL-Based FPGA Accelerator for Large-Scale Convolution Neuron Networks
• Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound
• The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent
• Unsupervised Learning of Long-Term Motion Dynamics for Videos
• MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement
• Panoramic Annular Localizer: Tackling the Variation Challenges of Outdoor Localization Using Panoramic Annular Images and Active Deep Descriptors
• A multi-task learning for cavitation detection and cavitation intensity recognition of valve acoustic signals
• Uniform error estimates for artificial neural network approximations for heat equations
• Predicate correlation learning for scene graph generation
• Unsupervised Deep Contrast Enhancement with Power Constraint for OLED Displays
• One-Trial Correction of Legacy AI Systems and Stochastic Separation Theorems
• CryptoNAS: Private Inference on a ReLU Budget
• Unsupervised Cross-Modal Distillation for Thermal Infrared Tracking
• Joint Learning of Salient Object Detection, Depth Estimation and Contour Extraction
• Learning Deep ResNet Blocks Sequentially using Boosting Theory
• Learning and Recognizing Archeological Features from LiDAR Data
• Low-light Image Enhancement Algorithm Based on Retinex and Generative Adversarial Network
• Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery with Supplementary Materials
• White Box Methods for Explanations of Convolutional Neural Networks in Image Classification Tasks
• Semantic segmentation of mFISH images using convolutional networks
• JDSR-GAN: Constructing An Efficient Joint Learning Network for Masked Face Super-Resolution
• StructADMM: A Systematic, High-Efficiency Framework of Structured Weight Pruning for DNNs
• ElasticTrainer: Speeding Up On-Device Training with Runtime Elastic Tensor Selection
• Open-set Label Noise Can Improve Robustness Against Inherent Label Noise
• Size Matters
• Multi-Label Chest X-Ray Classification via Deep Learning
• Rice Classification Using Spatio-Spectral Deep Convolutional Neural Network
• FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks
• LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks
• Extracting Urban Sound Information for Residential Areas in Smart Cities Using an End-to-End IoT System
• Language Guided Fashion Image Manipulation with Feature-wise Transformations
• MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine Collaboration in Breast Cancer Diagnosis
• Task-generalizable Adversarial Attack based on Perceptual Metric
• Context-aware Synthesis for Video Frame Interpolation
• DeepBox: Learning Objectness with Convolutional Networks
• FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation
• GlacierNet2: A Hybrid Multi-Model Learning Architecture for Alpine Glacier Mapping
• Conditional Adversarial Synthesis of 3D Facial Action Units
• Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer
• Pedestrian Attribute Recognition: A Survey
• Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images
• Monocular Depth Estimation using Multi-Scale Continuous CRFs as Sequential Deep Networks
• Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale Features
• Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention
• Using Deep Learning for Segmentation and Counting within Microscopy Data
• Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation
• ViTOR: Learning to Rank Webpages Based on Visual Features
• Adapting Deep Network Features to Capture Psychological Representations
• FEAFA: A Well-Annotated Dataset for Facial Expression Analysis and 3D Facial Animation
• Hyperbolic Hierarchical Contrastive Hashing
• Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training
• Bad Global Minima Exist and SGD Can Reach Them
• Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks
• A Computer Vision Pipeline for Automated Determination of Cardiac Structure and Function and Detection of Disease by Two-Dimensional Echocardiography
• Importance of Preprocessing in Histopathology Image Classification Using Deep Convolutional Neural Network
• Fixed-Point Convolutional Neural Network for Real-Time Video Processing in FPGA
• Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks
• Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd
• Towards Generating Ambisonics Using Audio-Visual Cue for Virtual Reality
• Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions
• Forensic Dental Age Estimation Using Modified Deep Learning Neural Network
• A Bayesian Inference Framework for Procedural Material Parameter Estimation
• Data-driven emergence of convolutional structure in neural networks
• Protecting the Intellectual Properties of Deep Neural Networks with an Additional Class and Steganographic Images
• Ensembling Handcrafted Features with Deep Features: An Analytical Study for Classification of Routine Colon Cancer Histopathological Nuclei Images
• Learning Visual Relation Priors for Image-Text Matching and Image Captioning with Neural Scene Graph Generators
• Generative Adversarial Talking Head: Bringing Portraits to Life with a Weakly Supervised Neural Network
• Density-aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement
• Discrete and continuous representations and processing in deep learning: Looking forward
• Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding
• DEFER: Distributed Edge Inference for Deep Neural Networks
• Style2Vec: Representation Learning for Fashion Items from Style Sets
• Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition
• Joint Attention in Driver-Pedestrian Interaction: from Theory to Practice
• Segmentation from Natural Language Expressions
• How Deep is the Feature Analysis underlying Rapid Visual Categorization?
• Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation
• Scene Graph Generation from Objects, Phrases and Region Captions
• GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations
• ClipGen: A Deep Generative Model for Clipart Vectorization and Synthesis
• Classification of Alzheimer's Disease Structural MRI Data by Deep Learning Convolutional Neural Networks
• DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning
• SVFAP: Self-supervised Video Facial Affect Perceiver
• pix2code: Generating Code from a Graphical User Interface Screenshot
• A Discriminative CNN Video Representation for Event Detection
• Transferable Adversarial Attacks for Image and Video Object Detection
• Graph-RISE: Graph-Regularized Image Semantic Embedding
• Focal Frequency Loss for Image Reconstruction and Synthesis
• Discriminative Learning of Latent Features for Zero-Shot Recognition
• Attention2AngioGAN: Synthesizing Fluorescein Angiography from Retinal Fundus Images using Generative Adversarial Networks
• Pose is all you need: The pose only group activity recognition system (POGARS)
• Bio-Inspired Representation Learning for Visual Attention Prediction
• Tensor Decomposition for Model Reduction in Neural Networks: A Review
• DAPPLE: A Pipelined Data Parallel Approach for Training Large Models
• Visual pathways from the perspective of cost functions and multi-task deep neural networks
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• Additively Homomorphical Encryption based Deep Neural Network for Asymmetrically Collaborative Machine Learning
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• T-BFA: Targeted Bit-Flip Adversarial Weight Attack
• Co-salient Object Detection Based on Deep Saliency Networks and Seed Propagation over an Integrated Graph
• Learning to Answer Questions From Image Using Convolutional Neural Network
• Image Captioning with Deep Bidirectional LSTMs
• Content and Context Features for Scene Image Representation
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• Online but Accurate Inference for Latent Variable Models with Local Gibbs Sampling
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• A Deep Learning Approach to Radar-based QPE
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• Trustable Co-label Learning from Multiple Noisy Annotators
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• FSDR: Frequency Space Domain Randomization for Domain Generalization
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• STA-VPR: Spatio-temporal Alignment for Visual Place Recognition
• Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images
• SBSS: Stacking-Based Semantic Segmentation Framework for Very High Resolution Remote Sensing Image
• Ludwig: a type-based declarative deep learning toolbox
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• DML-GANR: Deep Metric Learning With Generative Adversarial Network Regularization for High Spatial Resolution Remote Sensing Image Retrieval
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• Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation
• Deep Transfer Learning for Static Malware Classification
• On Demand Solid Texture Synthesis Using Deep 3D Networks
• Black-box Adversarial Attacks with Bayesian Optimization
• S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact Reduction
• MITOS-RCNN: A Novel Approach to Mitotic Figure Detection in Breast Cancer Histopathology Images using Region Based Convolutional Neural Networks
• Jigsaw Puzzle Solving Using Local Feature Co-Occurrences in Deep Neural Networks
• Transferring Rich Deep Features for Facial Beauty Prediction
• Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection
• A Performance Comparison of Loss Functions for Deep Face Recognition
• Reducing the Model Variance of a Rectal Cancer Segmentation Network
• Talking Head from Speech Audio using a Pre-trained Image Generator
• Task dependent Deep LDA pruning of neural networks
• Universality, scaling and collapse in supercritical fluids
• Corner Proposal Network for Anchor-free, Two-stage Object Detection
• A Large RGB-D Dataset for Semi-supervised Monocular Depth Estimation
• V2CNet: A Deep Learning Framework to Translate Videos to Commands for Robotic Manipulation
• On the Number of Linear Regions of Convolutional Neural Networks
• Transfer Learning Framework for Low-Resource Text-to-Speech using a Large-Scale Unlabeled Speech Corpus
• Attention Based Glaucoma Detection: A Large-scale Database and CNN Model
• Feature Agglomeration Networks for Single Stage Face Detection
• Noisy Natural Gradient as Variational Inference
• Recent Advances in Deep Learning for Object Detection
• Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
• Defense against Universal Adversarial Perturbations
• MASK-CNN-Transformer For Real-Time Multi-Label Weather Recognition
• Rapid Damage Assessment Using Social Media Images by Combining Human and Machine Intelligence
• Improved Residual Networks for Image and Video Recognition
• Deep CNN Framework for Audio Event Recognition using Weakly Labeled Web Data
• When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach
• Black-box Safety Analysis and Retraining of DNNs based on Feature Extraction and Clustering
• AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems
• Block-Matching Convolutional Neural Network for Image Denoising
• Disentangling Image Distortions in Deep Feature Space
• Learning Deep Object Detectors from 3D Models
• When Unsupervised Domain Adaptation Meets Tensor Representations
• Evaluating Pre-trained Convolutional Neural Networks and Foundation Models as Feature Extractors for Content-based Medical Image Retrieval
• VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation
• Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference
• Neural Networks with Recurrent Generative Feedback
• SUPPNet: Neural network for stellar spectrum normalisation
• Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues
• A Comparative Study of CNN, BoVW and LBP for Classification of Histopathological Images
• Out-of-Distribution Detection using Multiple Semantic Label Representations
• Deep Volumetric Ambient Occlusion
• Understanding the Behaviour of Contrastive Loss
• Texture Synthesis Through Convolutional Neural Networks and Spectrum Constraints
• Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition
• MARS: Multi-macro Architecture SRAM CIM-Based Accelerator with Co-designed Compressed Neural Networks
• Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time
• Learning Semantic Concepts and Order for Image and Sentence Matching
• Capturing Dynamics of Information Diffusion in SNS: A Survey of Methodology and Techniques
• Predictive Analysis of Diabetic Retinopathy with Transfer Learning
• Counting and Locating High-Density Objects Using Convolutional Neural Network
• Feeding Hand-Crafted Features for Enhancing the Performance of Convolutional Neural Networks
• ConvMLP: Hierarchical Convolutional MLPs for Vision
• Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learning
• Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression
• Temporal Learning and Sequence Modeling for a Job Recommender System
• A New Method to Visualize Deep Neural Networks
• Remote Pathological Gait Classification System
• PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices
• Dehaze-GLCGAN: Unpaired Single Image De-hazing via Adversarial Training
• Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems
• Evaluating Contrastive Models for Instance-based Image Retrieval
• Learning Lightweight Pedestrian Detector with Hierarchical Knowledge Distillation
• CSC-Unet: A Novel Convolutional Sparse Coding Strategy Based Neural Network for Semantic Segmentation
• Revisiting Locally Supervised Learning: an Alternative to End-to-end Training
• Spatially Adaptive Computation Time for Residual Networks
• Crafting GBD-Net for Object Detection
• Rethinking Feature Distribution for Loss Functions in Image Classification
• WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition
• Spatio-Temporal Attention Models for Grounded Video Captioning
• Fast LIDAR-based Road Detection Using Fully Convolutional Neural Networks
• DSGN: Deep Stereo Geometry Network for 3D Object Detection
• PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data
• Efficient Gender Classification Using a Deep LDA-Pruned Net
• NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing
• Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency
• Bilateral Dependency Optimization: Defending Against Model-inversion Attacks
• Fine-grained Categorization and Dataset Bootstrapping using Deep Metric Learning with Humans in the Loop
• Dynamic Graph Attention for Referring Expression Comprehension
• AclNet: efficient end-to-end audio classification CNN
• Content Aware Neural Style Transfer
• Rethinking Counting and Localization in Crowds:A Purely Point-Based Framework
• Discriminative Training of Deep Fully-connected Continuous CRF with Task-specific Loss
• Quantization for Rapid Deployment of Deep Neural Networks
• Auto-Icon+: An Automated End-to-End Code Generation Tool for Icon Designs in UI Development
• On the Validity of Bayesian Neural Networks for Uncertainty Estimation
• Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics
• Dense Scale Network for Crowd Counting
• Improved Meta Learning for Low Resource Speech Recognition
• Self-Ensembling GAN for Cross-Domain Semantic Segmentation
• Video-based Human Action Recognition using Deep Learning: A Review
• DeepReDuce: ReLU Reduction for Fast Private Inference
• Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation
• Incorporating long-range consistency in CNN-based texture generation
• Interpretable Classification from Skin Cancer Histology Slides Using Deep Learning: A Retrospective Multicenter Study
• Solving Optimization Problems through Fully Convolutional Networks: an Application to the Travelling Salesman Problem
• Background Adaptive Faster R-CNN for Semi-Supervised Convolutional Object Detection of Threats in X-Ray Images
• Accurate and Robust Neural Networks for Security Related Applications Exampled by Face Morphing Attacks
• Perfect density models cannot guarantee anomaly detection
• Context-aware Captions from Context-agnostic Supervision
• Histopathologic Image Processing: A Review
• Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineering
• PAN++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Text
• Dos and Don'ts of Machine Learning in Computer Security
• A Convolutional Neural Network based Live Object Recognition System as Blind Aid
• Embedding Human Heuristics in Machine-Learning-Enabled Probe Microscopy
• SMC Faster R-CNN: Toward a scene-specialized multi-object detector
• Transfer Learning for Video Recognition with Scarce Training Data for Deep Convolutional Neural Network
• DeepTracker: Visualizing the Training Process of Convolutional Neural Networks
• Adaptive NMS: Refining Pedestrian Detection in a Crowd
• Abnormality Detection in Mammography using Deep Convolutional Neural Networks
• Compressing the Input for CNNs with the First-Order Scattering Transform
• FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras
• The Shape of Sight: A Homological Framework for Unifying Visual Perception
• Controlling for Biasing Signals in Images for Prognostic Models: Survival Predictions for Lung Cancer with Deep Learning
• FEDZIP: A Compression Framework for Communication-Efficient Federated Learning
• Regular Polytope Networks
• ProbAct: A Probabilistic Activation Function for Deep Neural Networks
• A Multi-scale CNN-CRF Framework for Environmental Microorganism Image Segmentation
• Person Search via A Mask-Guided Two-Stream CNN Model
• Video Crowd Localization with Multi-focus Gaussian Neighborhood Attention and a Large-Scale Benchmark
• What's Mine is Yours: Pretrained CNNs for Limited Training Sonar ATR
• Kernel computations from large-scale random features obtained by Optical Processing Units
• Soft Proposal Networks for Weakly Supervised Object Localization
• The More You Know: Using Knowledge Graphs for Image Classification
• Automatic Photo Orientation Detection with Convolutional Neural Networks
• Learning Uncertain Convolutional Features for Accurate Saliency Detection
• Attack Analysis of Face Recognition Authentication Systems Using Fast Gradient Sign Method
• Quantitative Phase Imaging and Artificial Intelligence: A Review
• Non-Gaussianity of Stochastic Gradient Noise
• A large-scale climate-aware satellite image dataset for domain adaptive land-cover semantic segmentation
• Application of federated learning in manufacturing
• ConFoc: Content-Focus Protection Against Trojan Attacks on Neural Networks
• Birds of A Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation
• Attention-Based Multimodal Fusion for Video Description
• Cross Modal Distillation for Supervision Transfer
• Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm
• Temporal Pyramid Network for Action Recognition
• Convolutional Neural Networks for Histopathology Image Classification: Training vs. Using Pre-Trained Networks
• GLMNet: Graph Learning-Matching Networks for Feature Matching
• VOLO: Vision Outlooker for Visual Recognition
• Sample Mixed-Based Data Augmentation for Domestic Audio Tagging
• Automated Pain Detection from Facial Expressions using FACS: A Review
• Content-Aware Unsupervised Deep Homography Estimation
• Vision Transformers for Small Histological Datasets Learned through Knowledge Distillation
• Traffic Signs in the Wild: Highlights from the IEEE Video and Image Processing Cup 2017 Student Competition [SP Competitions]
• Crowd counting via scale-adaptive convolutional neural network
• Towards Robust Learning-Based Pose Estimation of Noncooperative Spacecraft
• Egocentric Image Captioning for Privacy-Preserved Passive Dietary Intake Monitoring
• A Classification Supervised Auto-Encoder Based on Predefined Evenly-Distributed Class Centroids
• Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis
• Optimal and Robust Category-level Perception: Object Pose and Shape Estimation from 2D and 3D Semantic Keypoints
• FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset
• Relevance Prediction from Eye-movements Using Semi-interpretable Convolutional Neural Networks
• Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching
• Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation Study
• Leveraging Unlabeled Data for Crowd Counting by Learning to Rank
• Cervical Optical Coherence Tomography Image Classification Based on Contrastive Self-Supervised Texture Learning
• Peak-Piloted Deep Network for Facial Expression Recognition
• Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey
• Wi-BFI: Extracting the IEEE 802.11 Beamforming Feedback Information from Commercial Wi-Fi Devices
• Constructing Fast Network through Deconstruction of Convolution
• Learning Cross-Modal Deep Representations for Robust Pedestrian Detection
• Using convolutional networks and satellite imagery to identify patterns in urban environments at a large scale
• Diverse Branch Block: Building a Convolution as an Inception-like Unit
• Robust and High Performance Face Detector
• Self-Binarizing Networks
• EEG-based Evaluation of Cognitive Workload Induced by Acoustic Parameters for Data Sonification
• Deep Long Audio Inpainting
• Deep Multiphase Level Set for Scene Parsing
• RNDiff: Rainfall nowcasting with Condition Diffusion Model
• Semi-supervised Image Attribute Editing using Generative Adversarial Networks
• Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic Segmentation
• Object Skeleton Extraction in Natural Images by Fusing Scale-associated Deep Side Outputs
• Locally Free Weight Sharing for Network Width Search
• Natural Language Guided Visual Relationship Detection
• Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems
• Mixing Real and Synthetic Data to Enhance Neural Network Training -- A Review of Current Approaches
• Understanding Human Gaze Communication by Spatio-Temporal Graph Reasoning
• CaBuAr: California Burned Areas dataset for delineation
• Graph Neural Networks in Computer Vision -- Architectures, Datasets and Common Approaches
• Factors of Transferability for a Generic ConvNet Representation
• Review On Deep Learning Technique For Underwater Object Detection
• Dynamic Multi-Task Learning for Face Recognition with Facial Expression
• Towards Good Practices on Building Effective CNN Baseline Model for Person Re-identification
• Residual Features and Unified Prediction Network for Single Stage Detection
• Learning Edge-Preserved Image Stitching from Large-Baseline Deep Homography
• FCHD: Fast and accurate head detection in crowded scenes
• RED: Reinforced Encoder-Decoder Networks for Action Anticipation
• Harmonizing Transferability and Discriminability for Adapting Object Detectors
• 3D Bounding Box Estimation Using Deep Learning and Geometry
• Knowledge Concentration: Learning 100K Object Classifiers in a Single CNN
• PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization
• Dense Pixel-Labeling for Reverse-Transfer and Diagnostic Learning on Lung Ultrasound for COVID-19 and Pneumonia Detection
• Rotation Invariant Point Cloud Classification: Where Local Geometry Meets Global Topology
• A convolutional neural network approach for reconstructing polarization information of photoelectric X-ray polarimeters
• Directional Bias Amplification
• Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade
• Event-guided Multi-patch Network with Self-supervision for Non-uniform Motion Deblurring
• A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19
• Unstoppable Attack: Label-Only Model Inversion via Conditional Diffusion Model
• Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks
• Segmentation of Skin Lesions and their Attributes Using Multi-Scale Convolutional Neural Networks and Domain Specific Augmentations
• A multi-branch convolutional neural network for detecting double JPEG compression
• DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation
• Binary Document Image Super Resolution for Improved Readability and OCR Performance
• Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the $L_0$ Norm
• Automatically Evolving CNN Architectures Based on Blocks
• Voice-assisted Image Labelling for Endoscopic Ultrasound Classification using Neural Networks
• Transitive Invariance for Self-supervised Visual Representation Learning
• Sequential Image-based Attention Network for Inferring Force Estimation without Haptic Sensor
• A deep learning model for burn depth classification using ultrasound imaging
• ORDNet: Capturing Omni-Range Dependencies for Scene Parsing
• Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations
• Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels
• Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches
• A Survey of Coded Distributed Computing
• Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics
• Themis: Fair and Efficient GPU Cluster Scheduling
• Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing
• Cooking State Recognition from Images Using Inception Architecture
• A General Pipeline for 3D Detection of Vehicles
• W-Net: Reinforced U-Net for Density Map Estimation
• Assigning a Grade: Accurate Measurement of Road Quality Using Satellite Imagery
• Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint Optimization
• Deep Linear Discriminant Analysis
• MarioNETte: Few-shot Face Reenactment Preserving Identity of Unseen Targets
• Survey of Visual Question Answering: Datasets and Techniques
• Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking
• CIFAR10 to Compare Visual Recognition Performance between Deep Neural Networks and Humans
• A Fast and Accurate One-Stage Approach to Visual Grounding
• Wide Inference Network for Image Denoising via Learning Pixel-distribution Prior
• Open Set Domain Adaptation by Backpropagation
• Systematic Weight Pruning of DNNs using Alternating Direction Method of Multipliers
• Neural-PIM: Efficient Processing-In-Memory with Neural Approximation of Peripherals
• A survey of face recognition techniques under occlusion
• GOGGLES: Automatic Image Labeling with Affinity Coding
• Human-Adversarial Visual Question Answering
• Loss-Aware Automatic Selection of Structured Pruning Criteria for Deep Neural Network Acceleration
• Sill-Net: Feature Augmentation with Separated Illumination Representation
• Multimodal Emotion Recognition for One-Minute-Gradual Emotion Challenge
• Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data
• Hybrid Discriminative-Generative Training via Contrastive Learning
• Model Pruning Based on Quantified Similarity of Feature Maps
• End-to-End Multi-Task Learning with Attention
• Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification
• Task Augmentation by Rotating for Meta-Learning
• On the relationship between predictive coding and backpropagation
• Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
• Towards Compact and Robust Deep Neural Networks
• Improving Fully Convolution Network for Semantic Segmentation
• A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques
• Deep CNN-based Multi-task Learning for Open-Set Recognition
• Training a U-Net based on a random mode-coupling matrix model to recover acoustic interference striations
• Task-driven Visual Saliency and Attention-based Visual Question Answering
• SFA: Small Faces Attention Face Detector
• An End-to-End Network for Panoptic Segmentation
• When Causal Intervention Meets Adversarial Examples and Image Masking for Deep Neural Networks
• Knowledge Perceived Multi-modal Pretraining in E-commerce
• Automatic detection of microsleep episodes with deep learning
• Towards Visual Distortion in Black-Box Attacks
• FLOPs as a Direct Optimization Objective for Learning Sparse Neural Networks
• Multi-hierarchical Independent Correlation Filters for Visual Tracking
• AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks
• Convolutional Rectifier Networks as Generalized Tensor Decompositions
• TF-Replicator: Distributed Machine Learning for Researchers
• Face Recognition Using Deep Multi-Pose Representations
• Pneumothorax Segmentation: Deep Learning Image Segmentation to predict Pneumothorax
• DeepLofargram: A Deep Learning based Fluctuating Dim Frequency Line Detection and Recovery
• Optimal Pose and Shape Estimation for Category-level 3D Object Perception
• A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases
• A Deep Spatial Contextual Long-term Recurrent Convolutional Network for Saliency Detection
• Structured Model Pruning of Convolutional Networks on Tensor Processing Units
• A Novel Upsampling and Context Convolution for Image Semantic Segmentation
• Beyond Gaussian Pyramid: Multi-skip Feature Stacking for Action Recognition
• ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows
• Semantically Consistent Regularization for Zero-Shot Recognition
• Repulsion Loss: Detecting Pedestrians in a Crowd
• Semi-DerainGAN: A New Semi-supervised Single Image Deraining Network
• Lightweight Residual Densely Connected Convolutional Neural Network
• Pro-UIGAN: Progressive Face Hallucination from Occluded Thumbnails
• Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation
• Network of Experts for Large-Scale Image Categorization
• Learning Two-Branch Neural Networks for Image-Text Matching Tasks
• Saliency Methods for Explaining Adversarial Attacks
• Multimodal Attention Branch Network for Perspective-Free Sentence Generation
• Deep Transfer Learning for Identifications of Slope Surface Cracks
• Black-box adversarial attacks using Evolution Strategies
• Automated Assessment of Transthoracic Echocardiogram Image Quality Using Deep Neural Networks
• A Programmable Approach to Neural Network Compression
• CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework
• Learning Spatial Awareness to Improve Crowd Counting
• Connecting Low-Loss Subspace for Personalized Federated Learning
• Deep Face Video Inpainting via UV Mapping
• Advances in Joint CTC-Attention based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LM
• Real-Time Facial Segmentation and Performance Capture from RGB Input
• SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing
• Human Motion Transfer with 3D Constraints and Detail Enhancement
• Practical Block-wise Neural Network Architecture Generation
• Left Ventricle Segmentation and Volume Estimation on Cardiac MRI using Deep Learning
• Global-Local Face Upsampling Network
• Towards Non-I.I.D. Image Classification: A Dataset and Baselines
• On Learning Associations of Faces and Voices
• A deep learning approach for lower back-pain risk prediction during manual lifting
• NeuPart: Using Analytical Models to Drive Energy-Efficient Partitioning of CNN Computations on Cloud-Connected Mobile Clients
• X-CHANGR: Changing Memristive Crossbar Mapping for Mitigating Line-Resistance Induced Accuracy Degradation in Deep Neural Networks
• Classification of Planetary Nebulae through Deep Transfer Learning
• Automated Characterization of Stenosis in Invasive Coronary Angiography Images with Convolutional Neural Networks
• Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks
• Efficient Yet Deep Convolutional Neural Networks for Semantic Segmentation
• What is Holding Back Convnets for Detection?
• Bandwidth Extension on Raw Audio via Generative Adversarial Networks
• High-Resolution Multispectral Dataset for Semantic Segmentation
• Towards Reliable Participation in UAV-Enabled Federated Edge Learning on Non-IID Data
• Human Gender Prediction Based on Deep Transfer Learning from Panoramic Radiograph Images
• Fashioning with Networks: Neural Style Transfer to Design Clothes
• Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints
• Towards Interpretable and Robust Hand Detection via Pixel-wise Prediction
• TSSAT: Two-Stage Statistics-Aware Transformation for Artistic Style Transfer
• Predicting Aircraft Trajectories: A Deep Generative Convolutional Recurrent Neural Networks Approach
• Hypercolumns for Object Segmentation and Fine-grained Localization
• Text-to-Face Generation with StyleGAN2
• Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactions
• Weakly-supervised Visual Grounding of Phrases with Linguistic Structures
• Unsupervised Representation Learning by InvariancePropagation
• Lattice Long Short-Term Memory for Human Action Recognition
• SIXray : A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping Images
• Boundary thickness and robustness in learning models
• Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions
• Compression and Interpretability of Deep Neural Networks via Tucker Tensor Layer: From First Principles to Tensor Valued Back-Propagation
• Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition
• Meta-Learning for Few-Shot Land Cover Classification
• A Real-Time Cross-modality Correlation Filtering Method for Referring Expression Comprehension
• Long-term Tracking in the Wild: A Benchmark
• LEGO: Learning Edge with Geometry all at Once by Watching Videos
• Connecting Image Denoising and High-Level Vision Tasks via Deep Learning
• DeepFlash: Turning a Flash Selfie into a Studio Portrait
• Automatic localization and decoding of honeybee markers using deep convolutional neural networks
• Boosting Convolutional Features for Robust Object Proposals
• Material Recognition in the Wild with the Materials in Context Database
• A Unified Deep Learning Framework for Short-Duration Speaker Verification in Adverse Environments
• Self-Attention Capsule Networks for Object Classification
• YouTube-VOS: Sequence-to-Sequence Video Object Segmentation
• Applying Visual Domain Style Transfer and Texture Synthesis Techniques to Audio - Insights and Challenges
• From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality
• Agile Amulet: Real-Time Salient Object Detection with Contextual Attention
• Determining Chess Game State From an Image
• Knowledge Adaptation for Efficient Semantic Segmentation
• Listwise View Ranking for Image Cropping
• A Less Biased Evaluation of Out-of-distribution Sample Detectors
• SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection
• An Accurate and Real-time Self-blast Glass Insulator Location Method Based On Faster R-CNN and U-net with Aerial Images
• A new take on measuring relative nutritional density: The feasibility of using a deep neural network to assess commercially-prepared pureed food concentrations
• Backdoor Attacks for Remote Sensing Data with Wavelet Transform
• The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning
• Distilling Critical Paths in Convolutional Neural Networks
• Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales
• Synthesizing Filamentary Structured Images with GANs
• Online Open World Recognition
• There is Limited Correlation between Coverage and Robustness for Deep Neural Networks
• Image Inpainting for Irregular Holes Using Partial Convolutions
• PSViT: Better Vision Transformer via Token Pooling and Attention Sharing
• Characterizing the Deep Neural Networks Inference Performance of Mobile Applications
• F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds
• Annotation Order Matters: Recurrent Image Annotator for Arbitrary Length Image Tagging
• Mitigating Edge Machine Learning Inference Bottlenecks: An Empirical Study on Accelerating Google Edge Models
• Transfer Learning U-Net Deep Learning for Lung Ultrasound Segmentation
• SPP-CNN: An Efficient Framework for Network Robustness Prediction
• Co-localization with Category-Consistent Features and Geodesic Distance Propagation
• The Elements of Visual Art Recommendation: Learning Latent Semantic Representations of Paintings
• Deep Perceptual Compression
• Multi-Scale Attention with Dense Encoder for Handwritten Mathematical Expression Recognition
• Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines
• Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets
• M2CAI Workflow Challenge: Convolutional Neural Networks with Time Smoothing and Hidden Markov Model for Video Frames Classification
• Dog Identification using Soft Biometrics and Neural Networks
• Learning Densities in Feature Space for Reliable Segmentation of Indoor Scenes
• Centroid Transformers: Learning to Abstract with Attention
• Adversarial Neural Pruning with Latent Vulnerability Suppression
• Exploring Person Context and Local Scene Context for Object Detection
• Weakly-Supervised 3D Medical Image Segmentation using Geometric Prior and Contrastive Similarity
• Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration
• When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
• Meta Networks for Neural Style Transfer
• Toward automatic comparison of visualization techniques: Application to graph visualization
• SwapNet: Efficient Swapping for DNN Inference on Edge AI Devices Beyond the Memory Budget
• Exposing Reliability Degradation and Mitigation in Approximate DNNs under Permanent Faults
• Combating Human Trafficking with Deep Multimodal Models
• Challenging Environments for Traffic Sign Detection: Reliability Assessment under Inclement Conditions
• Illumination-aware Faster R-CNN for Robust Multispectral Pedestrian Detection
• Tackling the Challenges in Scene Graph Generation with Local-to-Global Interactions
• Instance-Level Segmentation for Autonomous Driving with Deep Densely Connected MRFs
• Graph Edge Convolutional Neural Networks for Skeleton Based Action Recognition
• Image Based Food Energy Estimation With Depth Domain Adaptation
• Yet another but more efficient black-box adversarial attack: tiling and evolution strategies
• DeepHealth: Review and challenges of artificial intelligence in health informatics
• LSTM Benchmarks for Deep Learning Frameworks
• I-SPLIT: Deep Network Interpretability for Split Computing
• Structural-analogy from a Single Image Pair
• Learnable Bernoulli Dropout for Bayesian Deep Learning
• Intelligence Beyond the Edge: Inference on Intermittent Embedded Systems
• CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
• Speaker Verification using Convolutional Neural Networks
• TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural Backdoors
• GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields
• DTDN: Dual-task De-raining Network
• Remote Sensing Novel View Synthesis with Implicit Multiplane Representations
• Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases
• Constrained Output Embeddings for End-to-End Code-Switching Speech Recognition with Only Monolingual Data
• Single Image Haze Removal using a Generative Adversarial Network
• AC-BLSTM: Asymmetric Convolutional Bidirectional LSTM Networks for Text Classification
• Multiple People Tracking Using Hierarchical Deep Tracklet Re-identification
• Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild
• LeukoNet: DCT-based CNN architecture for the classification of normal versus Leukemic blasts in B-ALL Cancer
• Learning Chained Deep Features and Classifiers for Cascade in Object Detection
• A Scale Invariant Flatness Measure for Deep Network Minima
• RUN:Residual U-Net for Computer-Aided Detection of Pulmonary Nodules without Candidate Selection
• Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks
• An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks
• SVCNet: Scribble-based Video Colorization Network with Temporal Aggregation
• Adaptive Graphical Model Network for 2D Handpose Estimation
• Hierarchical Deep Learning Architecture For 10K Objects Classification
• Cost Volume Pyramid Based Depth Inference for Multi-View Stereo
• Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification
• Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition
• Deep Learning-based Type Identification of Volumetric MRI Sequences
• Cephalometric Landmark Detection by AttentiveFeature Pyramid Fusion and Regression-Voting
• Self-Supervised Vision-Based Detection of the Active Speaker as Support for Socially-Aware Language Acquisition
• PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting Loss
• Making Invisible Visible: Data-Driven Seismic Inversion with Spatio-temporally Constrained Data Augmentation
• Increasing a microscope's effective field of view via overlapped imaging and machine learning
• A Cloud-based Deep Learning Framework for Early Detection of Pushing at Crowded Event Entrances
• ShaResNet: reducing residual network parameter number by sharing weights
• Delving into Crispness: Guided Label Refinement for Crisp Edge Detection
• Unsupervised learning from videos using temporal coherency deep networks
• BBA-net: A bi-branch attention network for crowd counting
• Deep Learning for Object Saliency Detection and Image Segmentation
• Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization
• Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality
• Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras
• Painterly Image Harmonization using Diffusion Model
• Unbiased Mean Teacher for Cross-domain Object Detection
• Do deep nets really need weight decay and dropout?
• Pixel-wise Ear Detection with Convolutional Encoder-Decoder Networks
• Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation
• Neural Person Search Machines
• All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation
• Deep Nets: What have they ever done for Vision?
• 3D Photography using Context-aware Layered Depth Inpainting
• Computer Vision based inspection on post-earthquake with UAV synthetic dataset
• TorontoCity: Seeing the World with a Million Eyes
• Effective Use of Synthetic Data for Urban Scene Semantic Segmentation
• Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data
• A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection
• Synaptic Learning with Augmented Spikes
• A homotopy training algorithm for fully connected neural networks
• Particle Identification In Camera Image Sensors Using Computer Vision
• Implicit Feature Pyramid Network for Object Detection
• Performance Guaranteed Network Acceleration via High-Order Residual Quantization
• Flip-Rotate-Pooling Convolution and Split Dropout on Convolution Neural Networks for Image Classification
• Effective Use of Dilated Convolutions for Segmenting Small Object Instances in Remote Sensing Imagery
• Perceptual Adversarial Robustness: Defense Against Unseen Threat Models
• Efficient Memory Management for GPU-based Deep Learning Systems
• Safe end-to-end imitation learning for model predictive control
• Galaxy shape measurement with convolutional neural networks
• Learning to Segment Instances in Videos with Spatial Propagation Network
• SemStyle: Learning to Generate Stylised Image Captions using Unaligned Text
• Unsupervised Learning of Monocular Depth Estimation with Bundle Adjustment, Super-Resolution and Clip Loss
• Towards Practical 2D Grapevine Bud Detection with Fully Convolutional Networks
• Yottixel -- An Image Search Engine for Large Archives of Histopathology Whole Slide Images
• Efficient Computation in Adaptive Artificial Spiking Neural Networks
• Learning Social Image Embedding with Deep Multimodal Attention Networks
• Consistent Optimization for Single-Shot Object Detection
• Joint Neural Architecture Search and Quantization
• Are pre-trained CNNs good feature extractors for anomaly detection in surveillance videos?
• Deep Neural Networks for Automatic Grain-matrix Segmentation in Plane and Cross-polarized Sandstone Photomicrographs
• InstaHide: Instance-hiding Schemes for Private Distributed Learning
• Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation
• A Dimensionality Reduction Approach for Convolutional Neural Networks
• Classification of Intra-Pulse Modulation of Radar Signals by Feature Fusion Based Convolutional Neural Networks
• Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification
• Rate Distortion For Model Compression: From Theory To Practice
• 3D microstructural generation from 2D images of cement paste using generative adversarial networks
• Take it in your stride: Do we need striding in CNNs?
• NicePIM: Design Space Exploration for Processing-In-Memory DNN Accelerators with 3D-Stacked-DRAM
• Multi-View Class Incremental Learning
• Parallel Separable 3D Convolution for Video and Volumetric Data Understanding
• SPASS: Scientific Prominence Active Search System with Deep Image Captioning Network
• Perceptron Theory Can Predict the Accuracy of Neural Networks
• Deep Learning Analysis of Cardiac MRI in Legacy Datasets: Multi-Ethnic Study of Atherosclerosis
• Enhancing Few-shot Image Classification with Cosine Transformer
• CIFAR-10 Image Classification Using Feature Ensembles
• Efficient Pipeline Planning for Expedited Distributed DNN Training
• Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks
• Understanding Deep Learning via Decision Boundary
• AirLoop: Lifelong Loop Closure Detection
• Transportation Density Reduction Caused by City Lockdowns Across the World during the COVID-19 Epidemic: From the View of High-resolution Remote Sensing Imagery
• Simple black-box universal adversarial attacks on medical image classification based on deep neural networks
• Fine-grained Semantic Alignment Network for Weakly Supervised Temporal Language Grounding
• MetaLabelNet: Learning to Generate Soft-Labels from Noisy-Labels
• Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions
• Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation
• Anchor Pruning for Object Detection
• Video captioning with recurrent networks based on frame- and video-level features and visual content classification
• Photometric identification of compact galaxies, stars and quasars using multiple neural networks
• Random 2.5D U-net for Fully 3D Segmentation
• IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary
• Uncovering the Over-smoothing Challenge in Image Super-Resolution: Entropy-based Quantification and Contrastive Optimization
• Recognizing American Sign Language Manual Signs from RGB-D Videos
• Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network
• A Single Video Super-Resolution GAN for Multiple Downsampling Operators based on Pseudo-Inverse Image Formation Models
• Multi-Modal 3D Object Detection in Autonomous Driving: a Survey
• Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks
• Spatial Heterophily Aware Graph Neural Networks
• Single Image Haze Removal Using Conditional Wasserstein Generative Adversarial Networks
• Comparison of State-of-the-Art Deep Learning APIs for Image Multi-Label Classification using Semantic Metrics
• Hybrid Loss for Learning Single-Image-based HDR Reconstruction
• Iterative Instance Segmentation
• Active Learning for Visual Question Answering: An Empirical Study
• Describing like humans: on diversity in image captioning
• Rotation-Sensitive Regression for Oriented Scene Text Detection
• The challenge of simultaneous object detection and pose estimation: a comparative study
• Conditional Generative Neural System for Probabilistic Trajectory Prediction
• A Little Energy Goes a Long Way: Build an Energy-Efficient, Accurate Spiking Neural Network from Convolutional Neural Network
• BlockQNN: Efficient Block-wise Neural Network Architecture Generation
• m2caiSeg: Semantic Segmentation of Laparoscopic Images using Convolutional Neural Networks
• Image Credibility Analysis with Effective Domain Transferred Deep Networks
• Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions
• A Pixel-Based Framework for Data-Driven Clothing
• Brain Programming is Immune to Adversarial Attacks: Towards Accurate and Robust Image Classification using Symbolic Learning
• Representation-Aggregation Networks for Segmentation of Multi-Gigapixel Histology Images
• A Deep Dive into Understanding Tumor Foci Classification using Multiparametric MRI Based on Convolutional Neural Network
• Weight-dependent Gates for Network Pruning
• Omni-sourced Webly-supervised Learning for Video Recognition
• Character-level Convolutional Network for Text Classification Applied to Chinese Corpus
• Efficient Accelerator for Dilated and Transposed Convolution with Decomposition
• Learning Joint Feature Adaptation for Zero-Shot Recognition
• DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips
• Investigating Shift-Variance of Convolutional Neural Networks in Ultrasound Image Segmentation
• How Much Can I Trust You? -- Quantifying Uncertainties in Explaining Neural Networks
• Owl: A General-Purpose Numerical Library in OCaml
• DMTNet: Dynamic Multi-scale Network for Dual-pixel Images Defocus Deblurring with Transformer
• Dynamic Computational Time for Visual Attention
• ReenactGAN: Learning to Reenact Faces via Boundary Transfer
• Estimating and Improving Fairness with Adversarial Learning
• Generative Latent Flow
• Finding Better Topologies for Deep Convolutional Neural Networks by Evolution
• Accelerating Deep Convolutional Networks using low-precision and sparsity
• Computing-In-Memory Neural Network Accelerators for Safety-Critical Systems: Can Small Device Variations Be Disastrous?
• OutdoorSent: Sentiment Analysis of Urban Outdoor Images by Using Semantic and Deep Features
• EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets
• Shape Matters: Understanding the Implicit Bias of the Noise Covariance
• Towards an Adversarially Robust Normalization Approach
• Accurate reconstruction of image stimuli from human fMRI based on the decoding model with capsule network architecture
• Iterative Few-shot Semantic Segmentation from Image Label Text
• PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks
• Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation
• Video Representation Learning Using Discriminative Pooling
• Mask Guided Attention For Fine-Grained Patchy Image Classification
• A Large-scale Dataset and Benchmark for Similar Trademark Retrieval
• GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image Translation via Attribute Gaussian Mixture Modeling
• Characterizing and Improving Stability in Neural Style Transfer
• MRI Brain Tumor Segmentation using Random Forests and Fully Convolutional Networks
• Tensorial Neural Networks: Generalization of Neural Networks and Application to Model Compression
• Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression
• Stories for Images-in-Sequence by using Visual and Narrative Components
• Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training
• Joint Iris Segmentation and Localization Using Deep Multi-task Learning Framework
• Vision Transformers: From Semantic Segmentation to Dense Prediction
• Empirically Measuring Transfer Distance for System Design and Operation
• An Introduction to Deep Learning for the Physical Layer
• Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images
• ROCT-Net: A new ensemble deep convolutional model with improved spatial resolution learning for detecting common diseases from retinal OCT images
• In Defense of Grid Features for Visual Question Answering
• BlockCopy: High-Resolution Video Processing with Block-Sparse Feature Propagation and Online Policies
• Deep Cuboid Detection: Beyond 2D Bounding Boxes
• Multimodal Attribute Extraction
• Temporal Unet: Sample Level Human Action Recognition using WiFi
• Calibrating Uncertainties in Object Localization Task
• Zero-Shot Learning with Generative Latent Prototype Model
• Care about you: towards large-scale human-centric visual relationship detection
• II-FCN for skin lesion analysis towards melanoma detection
• On Implicit Attribute Localization for Generalized Zero-Shot Learning
• Memory-augmented Attention Modelling for Videos
• YOLOpeds: Efficient Real-Time Single-Shot Pedestrian Detection for Smart Camera Applications
• Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA
• Learning Category Correlations for Multi-label Image Recognition with Graph Networks
• A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference
• Are State-of-the-art Visual Place Recognition Techniques any Good for Aerial Robotics?
• Personalized Federated Deep Learning for Pain Estimation From Face Images
• Ubi-SleepNet: Advanced Multimodal Fusion Techniques for Three-stage Sleep Classification Using Ubiquitous Sensing
• Few-Shot Image Recognition by Predicting Parameters from Activations
• Generalized Rank Pooling for Activity Recognition
• Are Safer Looking Neighborhoods More Lively? A Multimodal Investigation into Urban Life
• Learning Soft Labels via Meta Learning
• Bridge Damage Detection using a Single-Stage Detector and Field Inspection Images
• Classifier-agnostic saliency map extraction
• Homogeneous Tokenizer Matters: Homogeneous Visual Tokenizer for Remote Sensing Image Understanding
• Comparison and Analysis of Deep Audio Embeddings for Music Emotion Recognition
• Recent Advances and Trends in Multimodal Deep Learning: A Review
• Semantic Redundancies in Image-Classification Datasets: The 10% You Don't Need
• Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks
• Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds)
• Interactive dimensionality reduction using similarity projections
• Crafting a multi-task CNN for viewpoint estimation
• Overcoming Language Priors in Visual Question Answering with Adversarial Regularization
• Image Aesthetics Assessment Using Composite Features from off-the-Shelf Deep Models
• Fréchet Audio Distance: A Metric for Evaluating Music Enhancement Algorithms
• Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction
• Revisiting Image-Language Networks for Open-ended Phrase Detection
• FedGreen: Federated Learning with Fine-Grained Gradient Compression for Green Mobile Edge Computing
• Pollen Grain Microscopic Image Classification Using an Ensemble of Fine-Tuned Deep Convolutional Neural Networks
• Adversarial Defense by Latent Style Transformations
• Evaluation Of Hidden Markov Models Using Deep CNN Features In Isolated Sign Recognition
• Towards Automatic Wild Animal Monitoring: Identification of Animal Species in Camera-trap Images using Very Deep Convolutional Neural Networks
• Evaluating ResNeXt Model Architecture for Image Classification
• Half-CNN: A General Framework for Whole-Image Regression
• Temporal Recurrent Networks for Online Action Detection
• MoViNets: Mobile Video Networks for Efficient Video Recognition
• DARVIZ: Deep Abstract Representation, Visualization, and Verification of Deep Learning Models
• PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments
• Multi-class Classification without Multi-class Labels
• Seeing Small Faces from Robust Anchor's Perspective
• HashGAN:Attention-aware Deep Adversarial Hashing for Cross Modal Retrieval
• Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation
• Unsupervised Real-world Image Super Resolution via Domain-distance Aware Training
• Deep Learning Based Caching for Self-Driving Car in Multi-access Edge Computing
• Invariant recognition drives neural representations of action sequences
• HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation
• SVAM: Saliency-guided Visual Attention Modeling by Autonomous Underwater Robots
• Hierarchical LSTMs with Adaptive Attention for Visual Captioning
• Learning to Focus: Cascaded Feature Matching Network for Few-shot Image Recognition
• Attended Temperature Scaling: A Practical Approach for Calibrating Deep Neural Networks
• ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation
• Hierarchical Adversarially Learned Inference
• Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness
• DeepWriter: A Multi-Stream Deep CNN for Text-independent Writer Identification
• Utilizing the Instability in Weakly Supervised Object Detection
• PAC-learning in the presence of evasion adversaries
• General Purpose (GenP) Bioimage Ensemble of Handcrafted and Learned Features with Data Augmentation
• Unsupervised Person Image Synthesis in Arbitrary Poses
• Beyond the Pixel-Wise Loss for Topology-Aware Delineation
• Acoustic Scene Classification by Implicitly Identifying Distinct Sound Events
• Contrastive Learning for Compact Single Image Dehazing
• Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness
• Appliance Detection Using Very Low-Frequency Smart Meter Time Series
• Dense Optical Flow based Change Detection Network Robust to Difference of Camera Viewpoints
• Audiovisual Transformer Architectures for Large-Scale Classification and Synchronization of Weakly Labeled Audio Events
• Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition
• Scribble Hides Class: Promoting Scribble-Based Weakly-Supervised Semantic Segmentation with Its Class Label
• Few Shot Network Compression via Cross Distillation
• Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes
• DeepMovie: Using Optical Flow and Deep Neural Networks to Stylize Movies
• Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning
• Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems
• Semi-Supervised Coupled Thin-Plate Spline Model for Rotation Correction and Beyond
• Person-in-WiFi: Fine-grained Person Perception using WiFi
• HDF: Hybrid Deep Features for Scene Image Representation
• Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition
• Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation
• Multi-queue Momentum Contrast for Microvideo-Product Retrieval
• Texture Characterization by Using Shape Co-occurrence Patterns
• Stereoscopic Neural Style Transfer
• Deep-CEE I: Fishing for Galaxy Clusters with Deep Neural Nets
• Defending Against Adversarial Examples with K-Nearest Neighbor
• ReNAS:Relativistic Evaluation of Neural Architecture Search
• Crowd Counting via Hierarchical Scale Recalibration Network
• Lightweight Regression Model with Prediction Interval Estimation for Computer Vision-based Winter Road Surface Condition Monitoring
• Unsupervised Learning of Object Structure and Dynamics from Videos
• Extend the shallow part of Single Shot MultiBox Detector via Convolutional Neural Network
• Change Detection in Multi-temporal VHR Images Based on Deep Siamese Multi-scale Convolutional Networks
• Fine-Grained Age Estimation in the wild with Attention LSTM Networks
• Cats and Captions vs. Creators and the Clock: Comparing Multimodal Content to Context in Predicting Relative Popularity
• EAR-U-Net: EfficientNet and attention-based residual U-Net for automatic liver segmentation in CT
• MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition
• Egocentric Object Manipulation Graphs
• A Gradient Boosting Approach for Training Convolutional and Deep Neural Networks
• Deep Rank-Consistent Pyramid Model for Enhanced Crowd Counting
• Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition
• Doubly Attentive Transformer Machine Translation
• Generating Descriptions with Grounded and Co-Referenced People
• TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection
• Deep Projective 3D Semantic Segmentation
• Detection and Localization of Melanoma Skin Cancer in Histopathological Whole Slide Images
• RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for low latency IoT systems
• Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification
• MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images
• Skepxels: Spatio-temporal Image Representation of Human Skeleton Joints for Action Recognition
• TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion
• A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels
• Homo Cyberneticus: The Era of Human-AI Integration
• Correlation Hashing Network for Efficient Cross-Modal Retrieval
• An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
• Light Field Synthesis by Training Deep Network in the Refocused Image Domain
• BreakingNews: Article Annotation by Image and Text Processing
• Towards Assessing the Synthetic-to-Measured Adversarial Vulnerability of SAR ATR
• ALGAN: Anomaly Detection by Generating Pseudo Anomalous Data via Latent Variables
• Neural Self Talk: Image Understanding via Continuous Questioning and Answering
• Galaxy Morphology Classification using EfficientNet Architectures
• Deep reinforcement learning for time series: playing idealized trading games
• WeText: Scene Text Detection under Weak Supervision
• Interpretable Deep Learning under Fire
• Dynamic Fusion with Intra- and Inter- Modality Attention Flow for Visual Question Answering
• WisdomNet: trustable machine learning toward error-free classification
• Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase
• On Power Laws in Deep Ensembles
• The Effectiveness of Instance Normalization: a Strong Baseline for Single Image Dehazing
• Training on the test set? An analysis of Spampinato et al. [31]
• DAG-Recurrent Neural Networks For Scene Labeling
• Neural Machine Translation with Latent Semantic of Image and Text
• From Deterministic to Generative: Multi-Modal Stochastic RNNs for Video Captioning
• Accurate Monocular Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving
• HSI-CNN: A Novel Convolution Neural Network for Hyperspectral Image
• ImAiR: Airwriting Recognition framework using Image Representation of IMU Signals
• RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances
• Poison as a Cure: Detecting & Neutralizing Variable-Sized Backdoor Attacks in Deep Neural Networks
• DualNet: Domain-Invariant Network for Visual Question Answering
• An inner-loop free solution to inverse problems using deep neural networks
• Saliency-Guided Attention Network for Image-Sentence Matching
• KrakN: Transfer Learning framework for thin crack detection in infrastructure maintenance
• UIEC^2-Net: CNN-based Underwater Image Enhancement Using Two Color Space
• Adapted Center and Scale Prediction: More Stable and More Accurate
• Interpreting Deep Classifier by Visual Distillation of Dark Knowledge
• Gesture-to-Gesture Translation in the Wild via Category-Independent Conditional Maps
• Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition
• Towards Analyzing Semantic Robustness of Deep Neural Networks
• Prototypical Partial Optimal Transport for Universal Domain Adaptation
• Justifying Diagnosis Decisions by Deep Neural Networks
• Exploring Optimal Deep Learning Models for Image-based Malware Variant Classification
• CaPhy: Capturing Physical Properties for Animatable Human Avatars
• RDEC: Integrating Regularization into Deep Embedded Clustering for Imbalanced Datasets
• TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power Lines
• Situational Fusion of Visual Representation for Visual Navigation
• Bidirectional Long-Short Term Memory for Video Description
• BigEarthNet Dataset with A New Class-Nomenclature for Remote Sensing Image Understanding
• Transfer Learning for the Efficient Detection of COVID-19 from Smartphone Audio Data
• Learning Face Age Progression: A Pyramid Architecture of GANs
• Hardness-Aware Deep Metric Learning
• Embedding Label Structures for Fine-Grained Feature Representation
• Adaptive Object Detection Using Adjacency and Zoom Prediction
• Learning ordered pooling weights in image classification
• Minimax Active Learning
• Segmentation of Liver Lesions with Reduced Complexity Deep Models
• Programmable Neural Network Trojan for Pre-Trained Feature Extractor
• HAMBox: Delving into Online High-quality Anchors Mining for Detecting Outer Faces
• RANDOM MASK: Towards Robust Convolutional Neural Networks
• Learning to Globally Edit Images with Textual Description
• Deep neural network approximations for Monte Carlo algorithms
• Will You Dance To The Challenge? Predicting User Participation of TikTok Challenges
• Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks
• Deep Rotation Correction without Angle Prior
• Unsupervised Domain-Specific Deblurring via Disentangled Representations
• Knowledge Projection for Deep Neural Networks
• Discriminatively Boosted Image Clustering with Fully Convolutional Auto-Encoders
• Comprehension-guided referring expressions
• End-to-End Fingerprints Liveness Detection using Convolutional Networks with Gram module
• Generic Feature Learning for Wireless Capsule Endoscopy Analysis
• Class-wise Dynamic Graph Convolution for Semantic Segmentation
• CCBlock: An Effective Use of Deep Learning for Automatic Diagnosis of COVID-19 Using X-Ray Images
• Post-Training Piecewise Linear Quantization for Deep Neural Networks
• Multi-Span Acoustic Modelling using Raw Waveform Signals
• Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
• Only a Matter of Style: Age Transformation Using a Style-Based Regression Model
• A Generative Adversarial Network for AI-Aided Chair Design
• Crossing You in Style: Cross-modal Style Transfer from Music to Visual Arts
• Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance
• PICO: Pipeline Inference Framework for Versatile CNNs on Diverse Mobile Devices
• EvRepSL: Event-Stream Representation via Self-Supervised Learning for Event-Based Vision
• Convolutional Attention Networks for Multimodal Emotion Recognition from Speech and Text Data
• Judging a Book By its Cover
• When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets
• Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks
• Percival: Making In-Browser Perceptual Ad Blocking Practical With Deep Learning
• Imperceptible Adversarial Examples by Spatial Chroma-Shift
• Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation
• Deep Multimodal Feature Analysis for Action Recognition in RGB+D Videos
• Conservative Wasserstein Training for Pose Estimation
• Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning
• Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks
• Scratch that! An Evolution-based Adversarial Attack against Neural Networks
• Learning Dynamic Alignment via Meta-filter for Few-shot Learning
• Privacy-Preserving Deep Inference for Rich User Data on The Cloud
• CopyCAT: Taking Control of Neural Policies with Constant Attacks
• Conditional Infilling GANs for Data Augmentation in Mammogram Classification
• DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality Learning
• Hyper-Convolution Networks for Biomedical Image Segmentation
• First Person Action-Object Detection with EgoNet
• Efficient Object Detection for High Resolution Images
• RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection
• Graph-Based Classification of Omnidirectional Images
• Bit-Flip Attack: Crushing Neural Network with Progressive Bit Search
• A Weakly Supervised Approach for Estimating Spatial Density Functions from High-Resolution Satellite Imagery
• Intermediate Deep Feature Compression: the Next Battlefield of Intelligent Sensing
• SPAA: Stealthy Projector-based Adversarial Attacks on Deep Image Classifiers
• Pooling is neither necessary nor sufficient for appropriate deformation stability in CNNs
• Learning Multi-Scale Deep Features for High-Resolution Satellite Image Classification
• Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields
• Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification
• Tooth Instance Segmentation on Panoramic Dental Radiographs Using U-Nets and Morphological Processing
• FFT Convolutions are Faster than Winograd on Modern CPUs, Here is Why
• Content-Aware Detection of Temporal Metadata Manipulation
• MoistNet: Machine Vision-based Deep Learning Models for Wood Chip Moisture Content Measurement
• On the Compression of Neural Networks Using ${\ell }_0$-Norm Regularization and Weight Pruning
• Transfer Learning for Scene Text Recognition in Indian Languages
• Learning Pixel-Distribution Prior with Wider Convolution for Image Denoising
• FreezeNet: Full Performance by Reduced Storage Costs
• Multilingual Multi-modal Embeddings for Natural Language Processing
• Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach
• Large Scale Evolution of Convolutional Neural Networks Using Volunteer Computing
• Foundation Models and Transformers for Anomaly Detection: A Survey
• Cell nuclei classification in histopathological images using hybrid OLConvNet
• Autoencoding Low-Resolution MRI for Semantically Smooth Interpolation of Anisotropic MRI
• Towards Counterfactual and Contrastive Explainability and Transparency of DCNN Image Classifiers
• Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography Images
• 3DEG: Data-Driven Descriptor Extraction for Global re-localization in subterranean environments
• CenterFace: Joint Face Detection and Alignment Using Face as Point
• OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning
• Deep-Learning Ensembles for Skin-Lesion Segmentation, Analysis, Classification: RECOD Titans at ISIC Challenge 2018
• Twin-GAN -- Unpaired Cross-Domain Image Translation with Weight-Sharing GANs
• Iris and periocular recognition in arabian race horses using deep convolutional neural networks
• Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation
• Deep Keyframe Detection in Human Action Videos
• Pose-Guided Multi-Granularity Attention Network for Text-Based Person Search
• Semantic Single-Image Dehazing
• Data Dropout: Optimizing Training Data for Convolutional Neural Networks
• Rafiki: Machine Learning as an Analytics Service System
• Crime Mapping from Satellite Imagery via Deep Learning
• FlipDial: A Generative Model for Two-Way Visual Dialogue
• On Learning and Learned Data Representation by Capsule Networks
• Unsupervised Deep Features for Privacy Image Classification
• Deep Mangoes: from fruit detection to cultivar identification in colour images of mango trees
• SRRM: Semantic Region Relation Model for Indoor Scene Recognition
• KTAN: Knowledge Transfer Adversarial Network
• Deep Reasoning with Knowledge Graph for Social Relationship Understanding
• Contrastive Learning of Person-independent Representations for Facial Action Unit Detection
• Micro-Attention for Micro-Expression recognition
• ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies
• Multi-encoder multi-resolution framework for end-to-end speech recognition
• A multi-task deep learning model for the classification of Age-related Macular Degeneration
• Biased Mixtures Of Experts: Enabling Computer Vision Inference Under Data Transfer Limitations
• Amalgamating Knowledge towards Comprehensive Classification
• Variable Importance Clouds: A Way to Explore Variable Importance for the Set of Good Models
• Single View Stereo Matching
• Adaptive Masked Proxies for Few-Shot Segmentation
• PDNet: Prior-model Guided Depth-enhanced Network for Salient Object Detection
• Funnel Activation for Visual Recognition
• Improving Prostate Cancer Detection with Breast Histopathology Images
• Slip Detection with Combined Tactile and Visual Information
• Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images
• Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection
• Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks
• Multinomial Distribution Learning for Effective Neural Architecture Search
• Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN
• Single Shot Structured Pruning Before Training
• SRDGAN: learning the noise prior for Super Resolution with Dual Generative Adversarial Networks
• Singular Value Decomposition and Neural Networks
• GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with Multi-Feature Learning
• UniNeXt: Exploring A Unified Architecture for Vision Recognition
• A deep learning based solution for construction equipment detection: from development to deployment
• MoBiNet: A Mobile Binary Network for Image Classification
• Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation
• Architecture-Preserving Provable Repair of Deep Neural Networks
• Recurrent Autoregressive Networks for Online Multi-Object Tracking
• DeepNovoV2: Better de novo peptide sequencing with deep learning
• Inception-inspired LSTM for Next-frame Video Prediction
• Additive Noise Annealing and Approximation Properties of Quantized Neural Networks
• Weight Initialization of Deep Neural Networks(DNNs) using Data Statistics
• Cascaded Structure Tensor Framework for Robust Identification of Heavily Occluded Baggage Items from X-ray Scans
• Grow and Prune Compact, Fast, and Accurate LSTMs
• Recognition Of Surface Defects On Steel Sheet Using Transfer Learning
• Improving High Resolution Histology Image Classification with Deep Spatial Fusion Network
• Exchangeable deep neural networks for set-to-set matching and learning
• Anatomically aware dual-hop learning for pulmonary embolism detection in CT pulmonary angiograms
• Extract-Transform-Load for Video Streams
• Adaptive Precision CNN Accelerator Using Radix-X Parallel Connected Memristor Crossbars
• SWAG: Item Recommendations using Convolutions on Weighted Graphs
• Metamorphic Detection of Adversarial Examples in Deep Learning Models With Affine Transformations
• Measuring the Transferability of Adversarial Examples
• Context-aware Biaffine Localizing Network for Temporal Sentence Grounding
• CERN: Confidence-Energy Recurrent Network for Group Activity Recognition
• AMC: Attention guided Multi-modal Correlation Learning for Image Search
• A visual approach for age and gender identification on Twitter
• Reinforcement Learning for Learning Rate Control
• 2.75D: Boosting learning by representing 3D Medical imaging to 2D features for small data
• Boosting rare benthic macroinvertebrates taxa identification with one-class classification
• Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images
• VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions
• Grounding Spatio-Semantic Referring Expressions for Human-Robot Interaction
• Visually Aligned Word Embeddings for Improving Zero-shot Learning
• Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation
• Real-time 3D Deep Multi-Camera Tracking
• Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation
• Semantic Drift Compensation for Class-Incremental Learning
• Automatic Classification of Bright Retinal Lesions via Deep Network Features
• A relic sketch extraction framework based on detail-aware hierarchical deep network
• Spatio-Temporal Action Detection with Cascade Proposal and Location Anticipation
• Unifying local and non-local signal processing with graph CNNs
• DAPnet: A Double Self-attention Convolutional Network for Point Cloud Semantic Labeling
• PyHealth: A Python Library for Health Predictive Models
• Efficient Algorithms for Device Placement of DNN Graph Operators
• Adversarially Robust Training through Structured Gradient Regularization
• Adversarial Examples Detection in Deep Networks with Convolutional Filter Statistics
• Quantization and Training of Low Bit-Width Convolutional Neural Networks for Object Detection
• Art of singular vectors and universal adversarial perturbations
• EraseReLU: A Simple Way to Ease the Training of Deep Convolution Neural Networks
• Multi-modal Visual Tracking: Review and Experimental Comparison
• Learning a Deep Embedding Model for Zero-Shot Learning
• COVID-Net USPro: An Open-Source Explainable Few-Shot Deep Prototypical Network to Monitor and Detect COVID-19 Infection from Point-of-Care Ultrasound Images
• DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator
• Ligand Pose Optimization with Atomic Grid-Based Convolutional Neural Networks
• Pareto Invariant Representation Learning for Multimedia Recommendation
• Learning-based Defect Recognition for Quasi-Periodic Microscope Images
• High-temporal-resolution event-based vehicle detection and tracking
• Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation
• Progressive Operational Perceptron with Memory
• Deep Cross-Modal Correlation Learning for Audio and Lyrics in Music Retrieval
• Rethinking Cooking State Recognition with Vision Transformers
• Accordion: Adaptive Gradient Communication via Critical Learning Regime Identification
• Weakly-Supervised Action Localization and Action Recognition using Global-Local Attention of 3D CNN
• Mining Discriminative Triplets of Patches for Fine-Grained Classification
• Weakly Supervised Learning of Affordances
• Optical Flow with Semantic Segmentation and Localized Layers
• Contextual Multi-Scale Region Convolutional 3D Network for Activity Detection
• Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection
• Visual Anomaly Detection for Images: A Survey
• Deep Learning Assessment of galaxy morphology in S-PLUS DataRelease 1
• Lexicase Selection at Scale
• Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach
• Coverage Testing of Deep Learning Models using Dataset Characterization
• HetEmotionNet: Two-Stream Heterogeneous Graph Recurrent Neural Network for Multi-modal Emotion Recognition
• Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack
• Shape Controllable Virtual Try-on for Underwear Models
• FairBalance: How to Achieve Equalized Odds With Data Pre-processing
• Video Fill in the Blank with Merging LSTMs
• Application of Convolutional Neural Network for Image Classification on Pascal VOC Challenge 2012 dataset
• Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations
• Explaining Bayesian Neural Networks
• OwlEyes-Online: A Fully Automated Platform for Detecting and Localizing UI Display Issues
• Learning to Estimate Without Bias
• Large Scale Language Modeling: Converging on 40GB of Text in Four Hours
• Multi-Compound Transformer for Accurate Biomedical Image Segmentation
• Deep residential representations: Using unsupervised learning to unlock elevation data for geo-demographic prediction
• Automatic Concept Discovery from Parallel Text and Visual Corpora
• Deeply Explain CNN via Hierarchical Decomposition
• A New Convolutional Network-in-Network Structure and Its Applications in Skin Detection, Semantic Segmentation, and Artifact Reduction
• Physics-based Noise Modeling for Extreme Low-light Photography
• Cross Domain Knowledge Transfer for Person Re-identification
• Representation Based Regression for Object Distance Estimation
• Deep Learning for Predictive Analytics in Reversible Steganography
• MISS GAN: A Multi-IlluStrator Style Generative Adversarial Network for image to illustration translation
• Workflow Optimization for Parallel Split Learning
• Neural Networks with Smooth Adaptive Activation Functions for Regression
• OVANet: One-vs-All Network for Universal Domain Adaptation
• Multimodal Hierarchical Reinforcement Learning Policy for Task-Oriented Visual Dialog
• Let's Dance: Learning From Online Dance Videos
• Gaze Estimation Approach Using Deep Differential Residual Network
• Recurrent Attentional Reinforcement Learning for Multi-label Image Recognition
• Convolutional Random Walk Networks for Semantic Image Segmentation
• A Comparative Review of Recent Few-Shot Object Detection Algorithms
• Structure-Aware Completion of Photogrammetric Meshes in Urban Road Environment
• A Novel Convolutional Neural Network for Image Steganalysis with Shared Normalization
• SWIPENET: Object detection in noisy underwater images
• FedDebug: Systematic Debugging for Federated Learning Applications
• Fast Recurrent Fully Convolutional Networks for Direct Perception in Autonomous Driving
• Achieving Adversarial Robustness via Sparsity
• Densely Guided Knowledge Distillation using Multiple Teacher Assistants
• Riemannian approach to batch normalization
• Deep Feature Consistent Variational Autoencoder
• Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data
• Deep Spatial Regression Model for Image Crowd Counting
• Clickbait Identification using Neural Networks
• Layer Pruning via Fusible Residual Convolutional Block for Deep Neural Networks
• Projection Based Weight Normalization for Deep Neural Networks
• Unsupervised Online Learning for Robotic Interestingness with Visual Memory
• Improving Generalization for Multimodal Fake News Detection
• Rethinking Bottleneck Structure for Efficient Mobile Network Design
• Contrastive-center loss for deep neural networks
• DarKnight: A Data Privacy Scheme for Training and Inference of Deep Neural Networks
• Enhancing Deepfake Detection using SE Block Attention with CNN
• Quantitative Evaluations on Saliency Methods: An Experimental Study
• You Can Backdoor Personalized Federated Learning
• Learning a Discriminative Model for the Perception of Realism in Composite Images
• Adversarial Attacks on Monocular Depth Estimation
• Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation
• Deep GrabCut for Object Selection
• Extracting 3D Vascular Structures from Microscopy Images using Convolutional Recurrent Networks
• Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter
• Detecting Oriented Text in Natural Images by Linking Segments
• Incremental Few-Shot Object Detection via Simple Fine-Tuning Approach
• SparseTrain:Leveraging Dynamic Sparsity in Training DNNs on General-Purpose SIMD Processors
• Luck Matters: Understanding Training Dynamics of Deep ReLU Networks
• A Configurable BNN ASIC using a Network of Programmable Threshold Logic Standard Cells
• Convolutional Neural Network Pruning with Structural Redundancy Reduction
• Hierarchical Training of Deep Neural Networks Using Early Exiting
• MirBot: A collaborative object recognition system for smartphones using convolutional neural networks
• Relative Positional Encoding for Transformers with Linear Complexity
• Distributed Learning of Deep Neural Networks using Independent Subnet Training
• Motion-Appearance Interactive Encoding for Object Segmentation in Unconstrained Videos
• Focus-Enhanced Scene Text Recognition with Deformable Convolutions
• Visual place recognition for aerial imagery: A survey
• Wasserstein Distance Based Domain Adaptation for Object Detection
• Riemannian Low-Rank Model Compression for Federated Learning with Over-the-Air Aggregation
• Counting and Segmenting Sorghum Heads
• Inverse Compositional Spatial Transformer Networks
• Visual Explanation for Deep Metric Learning
• Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification
• Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder
• Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization
• AutoSpeech: Neural Architecture Search for Speaker Recognition
• An Introduction to Deep Visual Explanation
• A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining
• DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs
• Constructing Deep Neural Networks by Bayesian Network Structure Learning
• Frame-Recurrent Video Inpainting by Robust Optical Flow Inference
• Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale
• C-RPNs: Promoting Object Detection in real world via a Cascade Structure of Region Proposal Networks
• AReLU: Attention-based Rectified Linear Unit
• Single-Shot Object Detection with Enriched Semantics
• STONNE: A Detailed Architectural Simulator for Flexible Neural Network Accelerators
• DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation
• Bringing Giant Neural Networks Down to Earth with Unlabeled Data
• SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of DNNs with Ultra-High Efficiency
• Centripetal SGD for Pruning Very Deep Convolutional Networks with Complicated Structure
• Improving Image Clustering With Multiple Pretrained CNN Feature Extractors
• Virtual Classification: Modulating Domain-Specific Knowledge for Multidomain Crowd Counting
• Colab NAS: Obtaining lightweight task-specific convolutional neural networks following Occam's razor
• Online Supervised Training of Spaceborne Vision during Proximity Operations using Adaptive Kalman Filtering
• GramGAN: Deep 3D Texture Synthesis From 2D Exemplars
• Synthetic to Real Adaptation with Generative Correlation Alignment Networks
• Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks
• Machine Learning Based Analysis of Finnish World War II Photographers
• FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy
• Object Relation Detection Based on One-shot Learning
• Using Deep Convolutional Neural Networks to Diagnose COVID-19 From Chest X-Ray Images
• Verifying Aircraft Collision Avoidance Neural Networks Through Linear Approximations of Safe Regions
• Using Deep Learning Neural Networks and Candlestick Chart Representation to Predict Stock Market
• Quickly Inserting Pegs into Uncertain Holes using Multi-view Images and Deep Network Trained on Synthetic Data
• To Ensemble or Not Ensemble: When does End-To-End Training Fail?
• Domain-Specific Deep Learning Feature Extractor for Diabetic Foot Ulcer Detection
• Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector
• Adaptive Mean-Residue Loss for Robust Facial Age Estimation
• Accurate ignition detection of solid fuel particles using machine learning
• Universal Perturbation Attack Against Image Retrieval
• Domain-Invariant Adversarial Learning for Unsupervised Domain Adaption
• Image Reconstruction with Predictive Filter Flow
• Brain Tumor Detection Based on a Novel and High-Quality Prediction of the Tumor Pixel Distributions
• Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN
• Where and What: Driver Attention-based Object Detection
• Robust Watermarking of Neural Network with Exponential Weighting
• Universal Semi-Supervised Semantic Segmentation
• Facelet-Bank for Fast Portrait Manipulation
• M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
• Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?
• Generating lyrics with variational autoencoder and multi-modal artist embeddings
• Playing the Game of Universal Adversarial Perturbations
• Chargrid: Towards Understanding 2D Documents
• Geometry-aware Deep Network for Single-Image Novel View Synthesis
• Associative Compression Networks for Representation Learning
• Layer-wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees
• Deep Active Learning: Unified and Principled Method for Query and Training
• Dataset Condensation with Distribution Matching
• KaoKore: A Pre-modern Japanese Art Facial Expression Dataset
• Convolutional Neural Network-Based Image Representation for Visual Loop Closure Detection
• Single Image Reflection Separation with Perceptual Losses
• SPI-GAN: Towards Single-Pixel Imaging through Generative Adversarial Network
• DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion
• Recurrent Convolutional Networks for Pulmonary Nodule Detection in CT Imaging
• COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference
• A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation
• Deep Adaptive Proposal Network for Object Detection in Optical Remote Sensing Images
• CNN-based Facial Affect Analysis on Mobile Devices
• Mis-classified Vector Guided Softmax Loss for Face Recognition
• An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models
• Fine-Grained Neural Architecture Search
• Iterative Deep Learning for Road Topology Extraction
• Robustifying Models Against Adversarial Attacks by Langevin Dynamics
• CN-CELEB: a challenging Chinese speaker recognition dataset
• Quantitatively Evaluating GANs With Divergences Proposed for Training
• Automated diagnosis of pneumothorax using an ensemble of convolutional neural networks with multi-sized chest radiography images
• Continual Learning in Neural Networks
• Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive Loss
• SREdgeNet: Edge Enhanced Single Image Super Resolution using Dense Edge Detection Network and Feature Merge Network
• Multisource and Multitemporal Data Fusion in Remote Sensing
• Trained Rank Pruning for Efficient Deep Neural Networks
• Single-Network Whole-Body Pose Estimation
• Functionality-Oriented Convolutional Filter Pruning
• Salience Biased Loss for Object Detection in Aerial Images
• Learning Material-Aware Local Descriptors for 3D Shapes
• A Methodology for Automatic Selection of Activation Functions to Design Hybrid Deep Neural Networks
• Entity-aware Image Caption Generation
• Deep Painterly Harmonization
• A Variational Dirichlet Framework for Out-of-Distribution Detection
• NetReduce: RDMA-Compatible In-Network Reduction for Distributed DNN Training Acceleration
• An Enhanced Convolutional Neural Network in Side-Channel Attacks and Its Visualization
• Visual Saliency Maps Can Apply to Facial Expression Recognition
• Learning to synthesize: splitting and recombining low and high spatial frequencies for image recovery
• DSNet for Real-Time Driving Scene Semantic Segmentation
• Context-Aware Mixed Reality: A Framework for Ubiquitous Interaction
• Learnable Embedding Space for Efficient Neural Architecture Compression
• Adaptive Affinity Fields for Semantic Segmentation
• MovieNet: A Holistic Dataset for Movie Understanding
• SE2Net: Siamese Edge-Enhancement Network for Salient Object Detection
• Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning
• Switchable Whitening for Deep Representation Learning
• Tubule segmentation of fluorescence microscopy images based on convolutional neural networks with inhomogeneity correction
• Self-supervising Fine-grained Region Similarities for Large-scale Image Localization
• Automatic Detection of COVID-19 Cases on X-ray images Using Convolutional Neural Networks
• Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network
• Musical Tempo and Key Estimation using Convolutional Neural Networks with Directional Filters
• Perceptual Compressive Sensing
• Machine Vision for Natural Gas Methane Emissions Detection Using an Infrared Camera
• Real-time Universal Style Transfer on High-resolution Images via Zero-channel Pruning
• Pruning via Iterative Ranking of Sensitivity Statistics
• iProStruct2D: Identifying protein structural classes by deep learning via 2D representations
• No-Reference Image Quality Assessment via Feature Fusion and Multi-Task Learning
• Modified Distribution Alignment for Domain Adaptation with Pre-trained Inception ResNet
• DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures
• Exploiting temporal consistency for real-time video depth estimation
• Visual Relationship Detection using Scene Graphs: A Survey
• 3D-SSD: Learning Hierarchical Features from RGB-D Images for Amodal 3D Object Detection
• A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging
• Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing
• LoGAN: Latent Graph Co-Attention Network for Weakly-Supervised Video Moment Retrieval
• Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms
• Monocular Pedestrian Orientation Estimation Based on Deep 2D-3D Feedforward
• A Survey on Biomedical Image Captioning
• Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher
• On the Separability of Classes with the Cross-Entropy Loss Function
• A Survey on Impact of Transient Faults on BNN Inference Accelerators
• Embedded hyper-parameter tuning by Simulated Annealing
• OpenEI: An Open Framework for Edge Intelligence
• Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost
• Centroid Based Concept Learning for RGB-D Indoor Scene Classification
• Example-Guided Style Consistent Image Synthesis from Semantic Labeling
• Determinantal Point Processes for Mini-Batch Diversification
• ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond
• Efficient Segmentation: Learning Downsampling Near Semantic Boundaries
• The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification
• Classification of Quantitative Light-Induced Fluorescence Images Using Convolutional Neural Network
• Parallel Multi Channel Convolution using General Matrix Multiplication
• Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World
• Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection
• Single Image Super-resolution via a Lightweight Residual Convolutional Neural Network
• What Looks Good with my Sofa: Multimodal Search Engine for Interior Design
• Understanding Traffic Density from Large-Scale Web Camera Data
• Classification of COVID-19 X-ray Images Using a Combination of Deep and Handcrafted Features
• Occluded Prohibited Items Detection: an X-ray Security Inspection Benchmark and De-occlusion Attention Module
• Quantifying Facial Age by Posterior of Age Comparisons
• Deep learning for Gaussian process tomography model selection using the ASDEX Upgrade SXR system
• Deep Learning Logo Detection with Data Expansion by Synthesising Context
• Geometry-Inspired Top-k Adversarial Perturbations
• Generating unseen complex scenes: are we there yet?
• Deep Residual Networks and Weight Initialization
• Wide and deep volumetric residual networks for volumetric image classification
• Dense Crowds Detection and Counting with a Lightweight Architecture
• Deep Semantic Dictionary Learning for Multi-label Image Classification
• Age Group and Gender Estimation in the Wild with Deep RoR Architecture
• How to fine-tune deep neural networks in few-shot learning?
• A Semi-supervised Framework for Image Captioning
• Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
• DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place Recognition
• HyperNetworks with statistical filtering for defending adversarial examples
• Supervised learning of few dirty bosons with variable particle number
• A Revisit on Deep Hashings for Large-scale Content Based Image Retrieval
• A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery
• Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot
• Transferable Universal Adversarial Perturbations Using Generative Models
• Automatic Diagnosis of Pneumothorax from Chest Radiographs: A Systematic Literature Review
• Active Convolution: Learning the Shape of Convolution for Image Classification
• Cross-domain Human Parsing via Adversarial Feature and Label Adaptation
• MLAN: Multi-Level Adversarial Network for Domain Adaptive Semantic Segmentation
• Tell-and-Answer: Towards Explainable Visual Question Answering using Attributes and Captions
• Amodal Instance Segmentation
• A Diagram Is Worth A Dozen Images
• Fair Comparison: Quantifying Variance in Resultsfor Fine-grained Visual Categorization
• Geographic ratemaking with spatial embeddings
• Multi-Path Feedback Recurrent Neural Network for Scene Parsing
• DeepSpark: A Spark-Based Distributed Deep Learning Framework for Commodity Clusters
• Bootstrap Representation Learning for Segmentation on Medical Volumes and Sequences
• Unsupervised Neural Rendering for Image Hazing
• Unifying Global-Local Representations in Salient Object Detection with Transformer
• Zero-Shot Learning via Joint Latent Similarity Embedding
• Neural network relief: a pruning algorithm based on neural activity
• ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
• Visual Discovery at Pinterest
• Multimodal sparse representation learning and applications
• Synthetic Document Generator for Annotation-free Layout Recognition
• Discovery Radiomics for Multi-Parametric MRI Prostate Cancer Detection
• A Gradient Mapping Guided Explainable Deep Neural Network for Extracapsular Extension Identification in 3D Head and Neck Cancer Computed Tomography Images
• Fast Muon Tracking with Machine Learning Implemented in FPGA
• ICADx: Interpretable computer aided diagnosis of breast masses
• Indexing of CNN Features for Large Scale Image Search
• On the geometry of generalization and memorization in deep neural networks
• Efficient Training of Neural Transducer for Speech Recognition
• Prediction of Kidney Function from Biopsy Images Using Convolutional Neural Networks
• Synthesising Dynamic Textures using Convolutional Neural Networks
• Improving saliency models' predictions of the next fixation with humans' intrinsic cost of gaze shifts
• Multi-granularity Contrastive Cross-modal Collaborative Generation for End-to-End Long-term Video Question Answering
• Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity
• Data augmentation on-the-fly and active learning in data stream classification
• Towards Asteroid Detection in Microlensing Surveys with Deep Learning
• Efficient Scopeformer: Towards Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection
• Deep machine learning for meteor monitoring: advances with transfer learning and gradient-weighted class activation mapping
• Neural Invertible Variable-degree Optical Aberrations Correction
• Physical Adversarial Attacks on Deep Neural Networks for Traffic Sign Recognition: A Feasibility Study
• How Will It Drape Like? Capturing Fabric Mechanics from Depth Images
• Detecting Deepfake-Forged Contents with Separable Convolutional Neural Network and Image Segmentation
• Multi-Fiber Networks for Video Recognition
• Discriminative Segmental Cascades for Feature-Rich Phone Recognition
• Color2Embed: Fast Exemplar-Based Image Colorization using Color Embeddings
• Modularized Morphing of Neural Networks
• A Practical Guide to CNNs and Fisher Vectors for Image Instance Retrieval
• Digital Fingerprinting of Microstructures
• Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks
• Machine Learning for Dental Image Analysis
• Explainable AI and susceptibility to adversarial attacks: a case study in classification of breast ultrasound images
• Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression
• Pose Estimation and 3D Reconstruction of Vehicles from Stereo-Images Using a Subcategory-Aware Shape Prior
• Very Deep Convolutional Neural Networks for Robust Speech Recognition
• Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks
• Crack Semantic Segmentation using the U-Net with Full Attention Strategy
• Near-Precise Parameter Approximation for Multiple Multiplications on A Single DSP Block
• Learning deep representation from coarse to fine for face alignment
• Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization
• Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling
• A Comprehensive Review of Image Analysis Methods for Microorganism Counting: From Classical Image Processing to Deep Learning Approaches
• Structured Inhomogeneous Density Map Learning for Crowd Counting
• Progressive Localization Networks for Language-based Moment Localization
• Visual Transformers for Primates Classification and Covid Detection
• Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation
• BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition
• Towards Multi-Agent Communication-Based Language Learning
• BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning
• DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference
• Reflective-Net: Learning from Explanations
• Adversarial Image Color Transformations in Explicit Color Filter Space
• Neuron Merging: Compensating for Pruned Neurons
• Deep Learning for identifying radiogenomic associations in breast cancer
• Layer-wise Characterization of Latent Information Leakage in Federated Learning
• Deep Matching Autoencoders
• SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images
• Enhancement by Your Aesthetic: An Intelligible Unsupervised Personalized Enhancer for Low-Light Images
• FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads
• Revisiting Pixel-Wise Supervision for Face Anti-Spoofing
• Adam${}^{+}$: A Stochastic Method with Adaptive Variance Reduction
• LCNN: Lookup-based Convolutional Neural Network
• An Empirical Investigation into the Use of Image Captioning for Automated Software Documentation
• Enhancing Security of Memristor Computing System Through Secure Weight Mapping
• Image-based localization using LSTMs for structured feature correlation
• Enhanced Behavioral Cloning Based self-driving Car Using Transfer Learning
• Self-Supervised Representation Learning for Detection of ACL Tear Injury in Knee MR Videos
• Action Recognition with Dynamic Image Networks
• PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction
• PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning
• DHP: Differentiable Meta Pruning via HyperNetworks
• Pose2Instance: Harnessing Keypoints for Person Instance Segmentation
• Toward Characteristic-Preserving Image-based Virtual Try-On Network
• On the Relation between Color Image Denoising and Classification
• Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network
• Control Distance IoU and Control Distance IoU Loss Function for Better Bounding Box Regression
• Distance-Based Learning from Errors for Confidence Calibration
• SGAS: Sequential Greedy Architecture Search
• Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary Defense
• Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis
• Semi-parametric Image Inpainting
• Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation
• Artificial Intelligence Assisted Inversion (AIAI) of Synthetic Type Ia Supernova Spectra
• Tensor Slicing and Optimization for Multicore NPUs
• On the design of convolutional neural networks for automatic detection of Alzheimer's disease
• Spatio-Temporal Fusion Networks for Action Recognition
• An In-Depth Analysis of Visual Tracking with Siamese Neural Networks
• Mpox-AISM: AI-Mediated Super Monitoring for Mpox and Like-Mpox
• Classification of Radio Signals and HF Transmission Modes with Deep Learning
• Adaptive Sampling for Stochastic Risk-Averse Learning
• Multiresolution Convolutional Autoencoders
• A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning
• BeamSense: Rethinking Wireless Sensing with MU-MIMO Wi-Fi Beamforming Feedback
• An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms
• A Deep Learning Approach to Object Affordance Segmentation
• When Work Matters: Transforming Classical Network Structures to Graph CNN
• Multiscale Deep Neural Networks for Multiclass Tissue Classification of Histological Whole-Slide Images
• This is not what I imagined: Error Detection for Semantic Segmentation through Visual Dissimilarity
• Communication-Efficient Federated Learning with Dual-Side Low-Rank Compression
• Image Morphing with Perceptual Constraints and STN Alignment
• TBT: Targeted Neural Network Attack with Bit Trojan
• Deblurring by Realistic Blurring
• A Scalable Learned Index Scheme in Storage Systems
• Structural Health Monitoring of Cantilever Beam, a Case Study -- Using Bayesian Neural Network AND Deep Learning
• Improving Network Robustness against Adversarial Attacks with Compact Convolution
• Image reconstruction through a multimode fiber with a simple neural network architecture
• Convolutional Auto-encoding of Sentence Topics for Image Paragraph Generation
• Visual Text Correction
• How adversarial attacks can disrupt seemingly stable accurate classifiers
• TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
• Optimal Feature Transport for Cross-View Image Geo-Localization
• Dense Intrinsic Appearance Flow for Human Pose Transfer
• Non-rigid Object Tracking via Deep Multi-scale Spatial-temporal Discriminative Saliency Maps
• A Comparison of deep learning methods for environmental sound
• Balanced Symmetric Cross Entropy for Large Scale Imbalanced and Noisy Data
• Adaptive Lighting for Data-Driven Non-Line-of-Sight 3D Localization and Object Identification
• Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network
• Flow imaging as an alternative to pressure transducers through vision transformers and convolutional neural networks
• A cross-center smoothness prior for variational Bayesian brain tissue segmentation
• Dual Attention Networks for Visual Reference Resolution in Visual Dialog
• Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography
• Domain-specific Communication Optimization for Distributed DNN Training
• The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification
• Deep Metric Transfer for Label Propagation with Limited Annotated Data
• Predicting the Computational Cost of Deep Learning Models
• What Catches the Eye? Visualizing and Understanding Deep Saliency Models
• ADNet: A Deep Network for Detecting Adverts
• Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads
• Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness
• The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring
• Weakly-supervised Salient Instance Detection
• Helping Visually Impaired People Take Better Quality Pictures
• Efficient CNN Implementation for Eye-Gaze Estimation on Low-Power/Low-Quality Consumer Imaging Systems
• Learning Deep Representations for Semantic Image Parsing: a Comprehensive Overview
• Scalable Deep Learning Logo Detection
• Multi-scale Location-aware Kernel Representation for Object Detection
• Road Segmentation Using CNN with GRU
• Unbiasing Semantic Segmentation For Robot Perception using Synthetic Data Feature Transfer
• Multi-Context Deep Network for Angle-Closure Glaucoma Screening in Anterior Segment OCT
• Multitask Learning on Graph Neural Networks: Learning Multiple Graph Centrality Measures with a Unified Network
• Reciprocal Attention Fusion for Visual Question Answering
• Unsupervised Medical Image Segmentation with Adversarial Networks: From Edge Diagrams to Segmentation Maps
• RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks
• Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks
• Jointly Deep Multi-View Learning for Clustering Analysis
• A Style-Aware Content Loss for Real-time HD Style Transfer
• Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification
• Image Processing Methods for Coronal Hole Segmentation, Matching, and Map Classification
• SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer Networks
• DPNet: Dynamic Pooling Network for Tiny Object Detection
• Semantic Segmentation of Anaemic RBCs Using Multilevel Deep Convolutional Encoder-Decoder Network
• Monocular visual simultaneous localization and mapping: (r)evolution from geometry to deep learning-based pipelines
• AttentionNet: Aggregating Weak Directions for Accurate Object Detection
• Deep Heterogeneous Feature Fusion for Template-Based Face Recognition
• Inferring Point Clouds from Single Monocular Images by Depth Intermediation
• Actions and Attributes from Wholes and Parts
• Single Image Super Resolution - When Model Adaptation Matters
• An End-to-End Approach to Natural Language Object Retrieval via Context-Aware Deep Reinforcement Learning
• Low-Precision Batch-Normalized Activations
• Is Saki #delicious? The Food Perception Gap on Instagram and Its Relation to Health
• Attention Allocation Aid for Visual Search
• Deep Image Category Discovery using a Transferred Similarity Function
• Training Sparse Neural Networks
• ModelHub: Towards Unified Data and Lifecycle Management for Deep Learning
• Deep Restricted Boltzmann Networks
• Sigma Delta Quantized Networks
• Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution
• The Role of Context Selection in Object Detection
• Convolutional Residual Memory Networks
• SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks
• Proximal Alternating Direction Network: A Globally Converged Deep Unrolling Framework
• RAN4IQA: Restorative Adversarial Nets for No-Reference Image Quality Assessment
• Integrating both Visual and Audio Cues for Enhanced Video Caption
• Class Rectification Hard Mining for Imbalanced Deep Learning
• Semantically Consistent Image Completion with Fine-grained Details
• Multiple Instance Curriculum Learning for Weakly Supervised Object Detection
• Estimated Depth Map Helps Image Classification
• Cystoid macular edema segmentation of Optical Coherence Tomography images using fully convolutional neural networks and fully connected CRFs
• Adversarial nets with perceptual losses for text-to-image synthesis
• Deep Learning for Target Classification from SAR Imagery: Data Augmentation and Translation Invariance
• Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection
• Sequential Dual Deep Learning with Shape and Texture Features for Sketch Recognition
• MHTN: Modal-adversarial Hybrid Transfer Network for Cross-modal Retrieval
• Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning
• Deep Matching and Validation Network -- An End-to-End Solution to Constrained Image Splicing Localization and Detection
• Learning RGB-D Salient Object Detection using background enclosure, depth contrast, and top-down features
• ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering
• CGaP: Continuous Growth and Pruning for Efficient Deep Learning
• Dual-branch residual network for lung nodule segmentation
• C3AE: Exploring the Limits of Compact Model for Age Estimation
• Lending Orientation to Neural Networks for Cross-view Geo-localization
• StartNet: Online Detection of Action Start in Untrimmed Videos
• Positively Scale-Invariant Flatness of ReLU Neural Networks
• Deep Spiking Neural Network with Spike Count based Learning Rule
• Guiding Neuroevolution with Structural Objectives
• Predicting Food Security Outcomes Using Convolutional Neural Networks (CNNs) for Satellite Tasking
• Bayesian Learning of Neural Network Architectures
• Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections
• Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning
• ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers
• A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search
• BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method
• Transferability of Adversarial Examples to Attack Cloud-based Image Classifier Service
• Exploiting Human Social Cognition for the Detection of Fake and Fraudulent Faces via Memory Networks
• Deep Learning in Wide-field Surveys: Fast Analysis of Strong Lenses in Ground-based Cosmic Experiments
• Deep Kernel Learning via Random Fourier Features
• Context-Aware Image Matting for Simultaneous Foreground and Alpha Estimation
• EdgeCNN: Convolutional Neural Network Classification Model with small inputs for Edge Computing
• Unsupervised Pose Flow Learning for Pose Guided Synthesis
• Can weight sharing outperform random architecture search? An investigation with TuNAS
• A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification
• Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation
• Acoustic Scene Classification with Spectrogram Processing Strategies
• ACFD: Asymmetric Cartoon Face Detector
• DFR-TSD: A Deep Learning Based Framework for Robust Traffic Sign Detection Under Challenging Weather Conditions
• Perturbation Analysis of Gradient-based Adversarial Attacks
• Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting
• Wavelet Integrated CNNs for Noise-Robust Image Classification
• PaStaNet: Toward Human Activity Knowledge Engine
• GeneCAI: Genetic Evolution for Acquiring Compact AI
• A Deep Learning Approach for Determining Effects of Tuta Absoluta in Tomato Plants
• Distilling Knowledge via Knowledge Review
• An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks
• PISE: Person Image Synthesis and Editing with Decoupled GAN
• Enhancing Robustness of On-line Learning Models on Highly Noisy Data
• Parser-Free Virtual Try-on via Distilling Appearance Flows
• Improving Automated Sonar Video Analysis to Notify About Jellyfish Blooms
• Hyperbolic Deep Neural Networks: A Survey
• Towards Creating a Deployable Grasp Type Probability Estimator for a Prosthetic Hand
• Unsupervised Image-to-Image Translation via Pre-trained StyleGAN2 Network
• Image Comes Dancing with Collaborative Parsing-Flow Video Synthesis
• Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification
• Accent-Robust Automatic Speech Recognition Using Supervised and Unsupervised Wav2vec Embeddings
• Live Speech Portraits: Real-Time Photorealistic Talking-Head Animation
• Weakly Supervised Temporal Adjacent Network for Language Grounding
• Circa: Stochastic ReLUs for Private Deep Learning
• ChildPredictor: A Child Face Prediction Framework with Disentangled Learning
• FxP-QNet: A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs with Dynamic Fixed-Point Representation
• Exploiting long-term temporal dynamics for video captioning
• Cascaded Asymmetric Local Pattern: A Novel Descriptor for Unconstrained Facial Image Recognition and Retrieval
• Diagnosis of Paratuberculosis in Histopathological Images Based on Explainable Artificial Intelligence and Deep Learning
• Multimodal Side-Tuning for Document Classification
• Toward Zero-shot Character Recognition: A Gold Standard Dataset with Radical-level Annotations
• MSSTNet: A Multi-Scale Spatio-Temporal CNN-Transformer Network for Dynamic Facial Expression Recognition
• Transformer-based Fusion of 2D-pose and Spatio-temporal Embeddings for Distracted Driver Action Recognition
• Hybridnet for depth estimation and semantic segmentation
• Achieve Fairness without Demographics for Dermatological Disease Diagnosis
• Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations
• mEBAL2 Database and Benchmark: Image-based Multispectral Eyeblink Detection
• Multiplicative update rules for accelerating deep learning training and increasing robustness
• Stroke Extraction of Chinese Character Based on Deep Structure Deformable Image Registration
• Application of Graph Networks to background rejection in Imaging Air Cherenkov Telescopes
• Machine learning method for ${}^{12}$C event classification and reconstruction in the active target time-projection chamber
• AutoDDL: Automatic Distributed Deep Learning with Near-Optimal Bandwidth Cost
• Pulse shape discrimination using a convolutional neural network for organic liquid scintillator signals
• Supervised learning of random quantum circuits via scalable neural networks
• BiFSMN: Binary Neural Network for Keyword Spotting
• Bayesian Neural Networks for Reversible Steganography
• Low Precision Decentralized Distributed Training over IID and non-IID Data
• Deep Homography Estimation in Dynamic Surgical Scenes for Laparoscopic Camera Motion Extraction
• An Unconstrained Layer-Peeled Perspective on Neural Collapse
• FooBaR: Fault Fooling Backdoor Attack on Neural Network Training
• PAC-Bayes Information Bottleneck
• An Information Theory-inspired Strategy for Automatic Network Pruning
• Self-Adversarial Disentangling for Specific Domain Adaptation
• From General to Specific: Online Updating for Blind Super-Resolution
• Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training by Receptive Field Analysis
• LAFFNet: A Lightweight Adaptive Feature Fusion Network for Underwater Image Enhancement
• Convolution Neural Network Hyperparameter Optimization Using Simplified Swarm Optimization
• Enabling Large Neural Networks on Tiny Microcontrollers with Swapping
• Bayesian Image Reconstruction using Deep Generative Models
• Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation
• Distilling a Deep Neural Network into a Takagi-Sugeno-Kang Fuzzy Inference System
• Generating Image Adversarial Examples by Embedding Digital Watermarks
• NPCFace: Negative-Positive Collaborative Training for Large-scale Face Recognition
• DAISI: Database for AI Surgical Instruction
• Distilling Localization for Self-Supervised Representation Learning
• A Thorough Comparison Study on Adversarial Attacks and Defenses for Common Thorax Disease Classification in Chest X-rays
• ScanSSD: Scanning Single Shot Detector for Mathematical Formulas in PDF Document Images
• HRank: Filter Pruning using High-Rank Feature Map
• Extended Batch Normalization
• Diversity inducing Information Bottleneck in Model Ensembles
• Understanding Generalization in Deep Learning via Tensor Methods
• Image Processing Using Multi-Code GAN Prior
• Automated Enriched Medical Concept Generation for Chest X-ray Images
• AI Matrix: A Deep Learning Benchmark for Alibaba Data Centers
• AdaCompress: Adaptive Compression for Online Computer Vision Services
• MRSNet: Metabolite Quantification from Edited Magnetic Resonance Spectra With Convolutional Neural Networks
• Semantic Correlation Promoted Shape-Variant Context for Segmentation
• A Transfer Learning Approach for Automated Segmentation of Prostate Whole Gland and Transition Zone in Diffusion Weighted MRI
• A CNN toolbox for skin cancer classification
• SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks
• Sparsely Activated Networks
• Multi-Label Product Categorization Using Multi-Modal Fusion Models
• A detailed comparative study of open source deep learning frameworks
• An Empirical Study of Large-Batch Stochastic Gradient Descent with Structured Covariance Noise
• Differentiable Fine-grained Quantization for Deep Neural Network Compression
• Vehicle Re-identification Using Quadruple Directional Deep Learning Features
• Improving Multi-Person Pose Estimation using Label Correction
• Double Refinement Network for Efficient Indoor Monocular Depth Estimation
• Attentive Relational Networks for Mapping Images to Scene Graphs
• Super-resolution MRI through Deep Learning
• Unsupervised Deep Features for Remote Sensing Image Matching via Discriminator Network
• Unsupervised Image to Sequence Translation with Canvas-Drawer Networks
• Pairwise Relational Networks for Face Recognition
• DenseRAN for Offline Handwritten Chinese Character Recognition
• Understanding hand-object manipulation by modeling the contextual relationship between actions, grasp types and object attributes
• One-shot Texture Segmentation
• Studio2Shop: from studio photo shoots to fashion articles
• ReCoNet: Real-time Coherent Video Style Transfer Network
• Robust Deep Multi-modal Learning Based on Gated Information Fusion Network
• Context Proposals for Saliency Detection
• A Multi-Stage Multi-Task Neural Network for Aerial Scene Interpretation and Geolocalization
• Adversarial Alignment of Class Prediction Uncertainties for Domain Adaptation
• Single-Shot Bidirectional Pyramid Networks for High-Quality Object Detection
• Audio-only Bird Species Automated Identification Method with Limited Training Data Based on Multi-Channel Deep Convolutional Neural Networks
• Collaborative Learning for Weakly Supervised Object Detection
• SparCML: High-Performance Sparse Communication for Machine Learning
• Pointwise Convolutional Neural Networks
• Learning to Write Stylized Chinese Characters by Reading a Handful of Examples
• Attended End-to-end Architecture for Age Estimation from Facial Expression Videos
• Efficient Convolutional Neural Network For Audio Event Detection
• Multimodal MRI brain tumor segmentation using random forests with features learned from fully convolutional neural network
• Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting
• Dockerface: an Easy to Install and Use Faster R-CNN Face Detector in a Docker Container
• A Learning-based Framework for Hybrid Depth-from-Defocus and Stereo Matching
• Google's Cloud Vision API Is Not Robust To Noise
• SRN: Side-output Residual Network for Object Symmetry Detection in the Wild
• Coordinating Filters for Faster Deep Neural Networks
• DSAC - Differentiable RANSAC for Camera Localization
• Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database
• Automatic learning of gait signatures for people identification
• Group Invariant Deep Representations for Image Instance Retrieval
• Images Don't Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to Rank
• Adjustable Bounded Rectifiers: Towards Deep Binary Representations
• Reversible Recursive Instance-level Object Segmentation
• Learning Structured Inference Neural Networks with Label Relations
• Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks
• Metameric Varifocal Holography
• Attention is all you need for Videos: Self-attention based Video Summarization using Universal Transformers
• Deep Learning Based Multi-modal Addressee Recognition in Visual Scenes with Utterances
• Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformation
• Learning Structured Semantic Embeddings for Visual Recognition
• Deep Exemplar-based Video Colorization
• A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels
• Every Pixel Counts: Unsupervised Geometry Learning with Holistic 3D Motion Understanding
• Categorical Perception: A Groundwork for Deep Learning
• Patch-based Fake Fingerprint Detection Using a Fully Convolutional Neural Network with a Small Number of Parameters and an Optimal Threshold
• SSA: Semantic Structure Aware Inference for Weakly Pixel-Wise Dense Predictions without Cost
• Sparse Weight Activation Training
• Deep Multimodal Neural Architecture Search
• Deep Density-aware Count Regressor
• A Comprehensive Study of Alzheimer's Disease Classification Using Convolutional Neural Networks
• TM-NET: Deep Generative Networks for Textured Meshes
• PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration
• A Way out of the Odyssey: Analyzing and Combining Recent Insights for LSTMs
• Estimating and abstracting the 3D structure of bones using neural networks on X-ray (2D) images
• Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision
• Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling
• A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks
• Activate or Not: Learning Customized Activation
• BiPointNet: Binary Neural Network for Point Clouds
• A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets
• Preventing Unauthorized Use of Proprietary Data: Poisoning for Secure Dataset Release
• Blind Omnidirectional Image Quality Assessment with Viewport Oriented Graph Convolutional Networks
• Quaternion-Valued Convolutional Neural Network Applied for Acute Lymphoblastic Leukemia Diagnosis
• Pointfilter: Point Cloud Filtering via Encoder-Decoder Modeling
• Building Disease Detection Algorithms with Very Small Numbers of Positive Samples
• Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss
• Gradient ${\ell }_1$ Regularization for Quantization Robustness
• See, Attend and Brake: An Attention-based Saliency Map Prediction Model for End-to-End Driving
• ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection from Whole-Slide Images
• Edge Devices Inference Performance Comparison
• Exploiting Domain Transferability for Collaborative Inter-level Domain Adaptive Object Detection
• Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation
• Interpretable Spatio-temporal Attention for Video Action Recognition
• Active Learning with TensorBoard Projector
• Unconstrained Scene Text and Video Text Recognition for Arabic Script
• Learning Long-Term Style-Preserving Blind Video Temporal Consistency
• Fake the Real: Backdoor Attack on Deep Speech Classification via Voice Conversion
• Variational Prototype Replays for Continual Learning
• A Dataset of Images of Public Streetlights with Operational Monitoring using Computer Vision Techniques
• A Bottom-up method Towards the Automatic and Objective Monitoring of Smoking Behavior In-the-wild using Wrist-mounted Inertial Sensors
• Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data
• Lossy compression of matrices by black-box optimisation of mixed integer nonlinear programming
• SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering
• Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
• Survival prediction using ensemble tumor segmentation and transfer learning
• Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning
• Convolutional Neural Networks and Language Embeddings for End-to-End Dialect Recognition
• RGB-D Salient Object Detection with Cross-Modality Modulation and Selection
• Incremental Learning In Online Scenario
• Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation
• Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search
• Collaborative Summarization of Topic-Related Videos
• Efficient Deep Neural Networks
• Neural Network Methods for Radiation Detectors and Imaging
• cGAN-based Manga Colorization Using a Single Training Image
• Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks
• Temporal Sequence Distillation: Towards Few-Frame Action Recognition in Videos
• Sketching Image Gist: Human-Mimetic Hierarchical Scene Graph Generation
• A Survey on Deep Learning Methods for Semantic Image Segmentation in Real-Time
• False News Detection on Social Media
• Detection, Attribution and Localization of GAN Generated Images
• Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers
• A novel machine learning based framework for detection of Autism Spectrum Disorder (ASD)
• A Bi-Directional Co-Design Approach to Enable Deep Learning on IoT Devices
• Apple Leaf Disease Identification through Region-of-Interest-Aware Deep Convolutional Neural Network
• Affinity LCFCN: Learning to Segment Fish with Weak Supervision
• A Closed-form Solution to Universal Style Transfer
• A3D: Adaptive 3D Networks for Video Action Recognition
• Statistics of Visual Responses to Object Stimuli from Primate AIT Neurons to DNN Neurons
• TIRAMISU: A Polyhedral Compiler for Dense and Sparse Deep Learning
• Multi-level Domain Adaptive learning for Cross-Domain Detection
• Coordinate-based Texture Inpainting for Pose-Guided Image Generation
• Gender and Ethnicity Classification based on Palmprint and Palmar Hand Images from Uncontrolled Environment
• Real-Time Execution of Large-scale Language Models on Mobile
• Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings
• Amodal Completion and Size Constancy in Natural Scenes
• Deep Hashing with Category Mask for Fast Video Retrieval
• X-GANs: Image Reconstruction Made Easy for Extreme Cases
• From Explanations to Segmentation: Using Explainable AI for Image Segmentation
• NESTA: Hamming Weight Compression-Based Neural Proc. Engine
• STS-GAN: Can We Synthesize Solid Texture with High Fidelity from Arbitrary 2D Exemplar?
• Learning a Repression Network for Precise Vehicle Search
• Training Group Orthogonal Neural Networks with Privileged Information
• Free-form Video Inpainting with 3D Gated Convolution and Temporal PatchGAN
• Image Quality Assessment Guided Deep Neural Networks Training
• MixerGAN: An MLP-Based Architecture for Unpaired Image-to-Image Translation
• Generating Neural Networks with Neural Networks
• PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain
• Rethinking Class-Discrimination Based CNN Channel Pruning
• Efficient Golf Ball Detection and Tracking Based on Convolutional Neural Networks and Kalman Filter
• Fast and Efficient Zero-Learning Image Fusion
• Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer
• Hybrid Score- and Rank-level Fusion for Person Identification using Face and ECG Data
• A Deep Neural Network for Audio Classification with a Classifier Attention Mechanism
• ApproxNet: Content and Contention-Aware Video Analytics System for Embedded Clients
• A Comprehensive Review of Deep Learning-based Single Image Super-resolution
• Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification
• Graph R-CNN for Scene Graph Generation
• BayesFT: Bayesian Optimization for Fault Tolerant Neural Network Architecture
• Wavelet Domain Style Transfer for an Effective Perception-distortion Tradeoff in Single Image Super-Resolution
• ALCN: Adaptive Local Contrast Normalization
• Unsupervised Learning and Segmentation of Complex Activities from Video
• VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering
• CNN2Gate: Toward Designing a General Framework for Implementation of Convolutional Neural Networks on FPGA
• Tensor Contraction Layers for Parsimonious Deep Nets
• Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs
• A Dilated Inception Network for Visual Saliency Prediction
• Human Motion Transfer from Poses in the Wild
• A Two-stream End-to-End Deep Learning Network for Recognizing Atypical Visual Attention in Autism Spectrum Disorder
• GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training
• Talking Head Generation with Audio and Speech Related Facial Action Units
• Cyclic Differentiable Architecture Search
• Deep Online Video Stabilization
• Can Neural Networks Understand Logical Entailment?
• 3DN: 3D Deformation Network
• SpatialFlow: Bridging All Tasks for Panoptic Segmentation
• Senti-Attend: Image Captioning using Sentiment and Attention
• Fingerprint Spoof Generalization
• Generative Adversarial Network based on Resnet for Conditional Image Restoration
• Visual-Textual Association with Hardest and Semi-Hard Negative Pairs Mining for Person Search
• Blessing of dimensionality at the edge
• An End-to-End Network for Co-Saliency Detection in One Single Image
• Vision And Text Transformer For Predicting Answerability On Visual Question Answering
• Joint Pruning & Quantization for Extremely Sparse Neural Networks
• Hard-Aware Deeply Cascaded Embedding
• Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition
• Deep learning in magnetic resonance prostate segmentation: A review and a new perspective
• One-Class Feature Learning Using Intra-Class Splitting
• Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects
• Disentangling Propagation and Generation for Video Prediction
• An encoder-decoder-based method for COVID-19 lung infection segmentation
• HyperNOMAD: Hyperparameter optimization of deep neural networks using mesh adaptive direct search
• Category Contrast for Unsupervised Domain Adaptation in Visual Tasks
• High Resolution Millimeter Wave Imaging For Self-Driving Cars
• Performing Highly Accurate Predictions Through Convolutional Networks for Actual Telecommunication Challenges
• AFP-Net: Realtime Anchor-Free Polyp Detection in Colonoscopy
• Rethinking and Improving the Robustness of Image Style Transfer
• Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification
• DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling
• Opto-UNet: Optimized UNet for Segmentation of Varicose Veins in Optical Coherence Tomography
• Perception Consistency Ultrasound Image Super-resolution via Self-supervised CycleGAN
• Federated Learning for Commercial Image Sources
• NLRP3 monomer Functional Dynamics: from the Effects of Allosteric Binding to Implications for Drug Design
• Artwork Identification from Wearable Camera Images for Enhancing Experience of Museum Audiences
• Learning Visual Features from Large Weakly Supervised Data
• LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing
• The Spatially-Correlative Loss for Various Image Translation Tasks
• Cultural Event Recognition with Visual ConvNets and Temporal Models
• Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets
• Predicting Gaze in Egocentric Video by Learning Task-dependent Attention Transition
• Vid2Game: Controllable Characters Extracted from Real-World Videos
• Generative Grading: Near Human-level Accuracy for Automated Feedback on Richly Structured Problems
• A Simple Long-Tailed Recognition Baseline via Vision-Language Model
• Angular Visual Hardness
• Dual Path Networks for Multi-Person Human Pose Estimation
• Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification
• Connection Pruning for Deep Spiking Neural Networks with On-Chip Learning
• Generating Fundus Fluorescence Angiography Images from Structure Fundus Images Using Generative Adversarial Networks
• Cross-Domain Cascaded Deep Feature Translation
• Convolution-Weight-Distribution Assumption: Rethinking the Criteria of Channel Pruning
• Multi-Transfer Learning Techniques for Detecting Auditory Brainstem Response
• The Color of the Cat is Gray: 1 Million Full-Sentences Visual Question Answering (FSVQA)
• Deep Learning Models for Digital Pathology
• DistFL: Distribution-aware Federated Learning for Mobile Scenarios
• Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response Jacobians
• Diversifying Sample Generation for Accurate Data-Free Quantization
• An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy Classification
• Evaluation of Momentum Diverse Input Iterative Fast Gradient Sign Method (M-DI2-FGSM) Based Attack Method on MCS 2018 Adversarial Attacks on Black Box Face Recognition System
• Orthogonal Spin Current Injected Magnetic Tunnel Junction for Convolutional Neural Networks
• End-to-end Kernel Learning via Generative Random Fourier Features
• NormalNet: Learning-based Normal Filtering for Mesh Denoising
• Segmental Convolutional Neural Networks for Detection of Cardiac Abnormality With Noisy Heart Sound Recordings
• Enhancing Deep Neural Network Saliency Visualizations with Gradual Extrapolation
• Efficient and Generic 1D Dilated Convolution Layer for Deep Learning
• IoU-uniform R-CNN: Breaking Through the Limitations of RPN
• Multi-View Spectral Clustering with High-Order Optimal Neighborhood Laplacian Matrix
• What Is the Best Practice for CNNs Applied to Visual Instance Retrieval?
• A Distributed Hierarchical SGD Algorithm with Sparse Global Reduction
• Discriminative Hamiltonian Variational Autoencoder for Accurate Tumor Segmentation in Data-Scarce Regimes
• Additive Tree-Structured Conditional Parameter Spaces in Bayesian Optimization: A Novel Covariance Function and a Fast Implementation
• Multi-modal Machine Learning for Vehicle Rating Predictions Using Image, Text, and Parametric Data
• NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results
• Instantiation
• Adaptive Adversarial Attack on Scene Text Recognition
• AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography
• CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels
• Espresso: Efficient Forward Propagation for BCNNs
• Eigenvalue Corrected Noisy Natural Gradient
• Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection
• Ring loss: Convex Feature Normalization for Face Recognition
• Deep Learning applied to Road Traffic Speed forecasting
• SingleGAN: Image-to-Image Translation by a Single-Generator Network using Multiple Generative Adversarial Learning
• Simple and effective localized attribute representations for zero-shot learning
• Attacking Automatic Video Analysis Algorithms: A Case Study of Google Cloud Video Intelligence API
• Quantitative analysis of MoS${}_2$ thin film micrographs with machine learning
• MUSEFood: Multi-sensor-based Food Volume Estimation on Smartphones
• A Benchmark of Visual Storytelling in Social Media
• AirCode: A Robust Object Encoding Method
• Self-explanatory Deep Salient Object Detection
• Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph Captioning
• ActionFlowNet: Learning Motion Representation for Action Recognition
• SwishNet: A Fast Convolutional Neural Network for Speech, Music and Noise Classification and Segmentation
• Cut-and-Paste Dataset Generation for Balancing Domain Gaps in Object Instance Detection
• Understanding Individual Decisions of CNNs via Contrastive Backpropagation
• Towards Biologically Plausible Convolutional Networks
• Fast Calculation of Probabilistic Power Flow: A Model-based Deep Learning Approach
• Query-Efficient Black-Box Attack by Active Learning
• Paying More Attention to Saliency: Image Captioning with Saliency and Context Attention
• Associative Partial Domain Adaptation
• Variational Implicit Processes
• A Deep Learning-Augmented Stand-off Radar Scheme for Rapidly Detecting Tree Defects
• Deep Learning for Weakly-Supervised Object Detection and Object Localization: A Survey
• Improving Facial Emotion Recognition Systems Using Gradient and Laplacian Images
• A 4D Light-Field Dataset and CNN Architectures for Material Recognition
• Large-scale Bisample Learning on ID Versus Spot Face Recognition
• Learning-Based Dequantization For Image Restoration Against Extremely Poor Illumination
• Autonomous Robotic Drilling System for Mice Cranial Window Creation: An Evaluation with an Egg Model
• CUP: Cluster Pruning for Compressing Deep Neural Networks
• Automatic Information Extraction from Piping and Instrumentation Diagrams
• C-WSL: Count-guided Weakly Supervised Localization
• A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout
• Weakly Supervised Bilinear Attention Network for Fine-Grained Visual Classification
• Deep Structured-Output Regression Learning for Computational Color Constancy
• A Lightweight NMS-free Framework for Real-time Visual Fault Detection System of Freight Trains
• Leveraging Medical Visual Question Answering with Supporting Facts
• Multi-Modal Detection of Alzheimer's Disease from Speech and Text
• CRRN: Multi-Scale Guided Concurrent Reflection Removal Network
• Evaluation Framework For Large-scale Federated Learning
• Facial Motion Prior Networks for Facial Expression Recognition
• Neural Architecture Optimization with Graph VAE
• Deep Learning Based Automatic Video Annotation Tool for Self-Driving Car
• Deep Convolutional Correlation Iterative Particle Filter for Visual Tracking
• LeYOLO, New Embedded Architecture for Object Detection
• Classification of Multi-Parametric Body MRI Series Using Deep Learning
• A SOT-MRAM-based Processing-In-Memory Engine for Highly Compressed DNN Implementation
• Learning to Multitask
• LMNet: Real-time Multiclass Object Detection on CPU using 3D LiDAR
• GASL: Guided Attention for Sparsity Learning in Deep Neural Networks
• VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data
• NAS-Navigator: Visual Steering for Explainable One-Shot Deep Neural Network Synthesis
• Ionospheric activity prediction using convolutional recurrent neural networks
• Large-Scale Deep Learning Optimizations: A Comprehensive Survey
• Neural Inverse Knitting: From Images to Manufacturing Instructions
• DNNVM : End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-based CNN Accelerators
• Zero-shot Learning via Shared-Reconstruction-Graph Pursuit
• A Deep Neural Model Of Emotion Appraisal
• Improving the HardNet Descriptor
• Alzheimer's Disease Brain MRI Classification: Challenges and Insights
• Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes
• Efficient Road Lane Marking Detection with Deep Learning
• Myocardial Infarction Quantification From Late Gadolinium Enhancement MRI Using Top-hat Transforms and Neural Networks
• Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-driving Images
• Assurance Monitoring of Learning Enabled Cyber-Physical Systems Using Inductive Conformal Prediction based on Distance Learning
• Temporal Segmentation of Surgical Sub-tasks through Deep Learning with Multiple Data Sources
• COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio Representations
• The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning
• An Adaptive Gradient Method with Energy and Momentum
• Deep TEN: Texture Encoding Network
• A Generalized Zero-Shot Quantization of Deep Convolutional Neural Networks via Learned Weights Statistics
• DFEW: A Large-Scale Database for Recognizing Dynamic Facial Expressions in the Wild
• Learning Visual Question Answering by Bootstrapping Hard Attention
• Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
• SmartSplit: Latency-Energy-Memory Optimisation for CNN Splitting on Smartphone Environment
• Multi-Mapping Image-to-Image Translation with Central Biasing Normalization
• University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization
• t-SNE-CUDA: GPU-Accelerated t-SNE and its Applications to Modern Data
• Large-Scale Classification of Structured Objects using a CRF with Deep Class Embedding
• Query Attack via Opposite-Direction Feature:Towards Robust Image Retrieval
• The Impact of Background Removal on Performance of Neural Networks for Fashion Image Classification and Segmentation
• Benign Shortcut for Debiasing: Fair Visual Recognition via Intervention with Shortcut Features
• Seismic data denoising and deblending using deep learning
• Relating Input Concepts to Convolutional Neural Network Decisions
• Geometric robustness of deep networks: analysis and improvement
• ViWi Vision-Aided mmWave Beam Tracking: Dataset, Task, and Baseline Solutions
• Depthwise Multiception Convolution for Reducing Network Parameters without Sacrificing Accuracy
• Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model
• Subnet Replacement: Deployment-stage backdoor attack against deep neural networks in gray-box setting
• Robust Line Segments Matching via Graph Convolution Networks
• AITom: Open-source AI platform for cryo-electron tomography data analysis
• Less is more: zero-shot learning from online textual documents with noise suppression
• Raman spectral analysis of mixtures with one-dimensional convolutional neural network
• Is the PPG signal chaotic?
• Selective Distillation of Weakly Annotated GTD for Vision-based Slab Identification System
• Robust or Private? Adversarial Training Makes Models More Vulnerable to Privacy Attacks
• Déjà Vu: an empirical evaluation of the memorization properties of ConvNets
• Deep Learning for Image Denoising: A Survey
• Simultaneous Feature Aggregating and Hashing for Large-scale Image Search
• Adversarial Perturbations Prevail in the Y-Channel of the YCbCr Color Space
• CU-Net: Coupled U-Nets
• "Factual" or "Emotional": Stylized Image Captioning with Adaptive Learning and Attention
• SIRe-Networks: Convolutional Neural Networks Architectural Extension for Information Preservation via Skip/Residual Connections and Interlaced Auto-Encoders
• Fuzzy Unique Image Transformation: Defense Against Adversarial Attacks On Deep COVID-19 Models
• ScaDLES: Scalable Deep Learning over Streaming data at the Edge
• Contrastive Proposal Extension with LSTM Network for Weakly Supervised Object Detection
• Enabling Privacy-Preserving, Compute- and Data-Intensive Computing using Heterogeneous Trusted Execution Environment
• 3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images
• Matching Representations of Explainable Artificial Intelligence and Eye Gaze for Human-Machine Interaction
• Toward Streaming Synapse Detection with Compositional ConvNets
• Fully Automatic Segmentation of Lumbar Vertebrae from CT Images using Cascaded 3D Fully Convolutional Networks
• Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification
• Filter Grafting for Deep Neural Networks
• Multimodal Style Transfer via Graph Cuts
• Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN
• Deep Saliency Hashing
• Modeling & Evaluating the Performance of Convolutional Neural Networks for Classifying Steel Surface Defects
• Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex
• DartsReNet: Exploring new RNN cells in ReNet architectures
• Semiconductor Defect Pattern Classification by Self-Proliferation-and-Attention Neural Network
• A Distributed Synchronous SGD Algorithm with Global Top-$k$ Sparsification for Low Bandwidth Networks
• Rethinking Supervised Pre-training for Better Downstream Transferring
• Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing
• IMS-Speech: A Speech to Text Tool
• Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm
• IROF: a low resource evaluation metric for explanation methods
• ModelHub.AI: Dissemination Platform for Deep Learning Models
• MemeSequencer: Sparse Matching for Embedding Image Macros
• A CADe System for Gliomas in Brain MRI using Convolutional Neural Networks
• Towards Better Analysis of Deep Convolutional Neural Networks
• Pre-Trained Convolutional Neural Network Features for Facial Expression Recognition
• DwNet: Dense warp-based network for pose-guided human video generation
• Flexible Piecewise Curves Estimation for Photo Enhancement
• Adversarial Robustness by Design through Analog Computing and Synthetic Gradients
• VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI
• Boundary-aware Instance Segmentation
• Tree-structured Kronecker Convolutional Network for Semantic Segmentation
• Pipelined Backpropagation at Scale: Training Large Models without Batches
• Neuralogram: A Deep Neural Network Based Representation for Audio Signals
• On the performance of residual block design alternatives in convolutional neural networks for end-to-end audio classification
• Neural Fuzzy Extractors: A Secure Way to Use Artificial Neural Networks for Biometric User Authentication
• Learning from Natural Noise to Denoise Micro-Doppler Spectrogram
• Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training
• Offline Handwritten Chinese Text Recognition with Convolutional Neural Networks
• Instance Credibility Inference for Few-Shot Learning
• Towards Practical Lottery Ticket Hypothesis for Adversarial Training
• Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation
• Streamlining Brain Tumor Classification with Custom Transfer Learning in MRI Images
• AMD-HookNet for Glacier Front Segmentation
• DeepFeat: A Bottom Up and Top Down Saliency Model Based on Deep Features of Convolutional Neural Nets
• Road Damage Detection and Classification with Detectron2 and Faster R-CNN
• Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation
• First Steps Toward CNN based Source Classification of Document Images Shared Over Messaging App
• A New Loss Function for CNN Classifier Based on Pre-defined Evenly-Distributed Class Centroids
• OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold
• Ensemble of Convolutional Neural Networks for Dermoscopic Images Classification
• Activation Function Optimization Scheme for Image Classification
• Examining convolutional feature extraction using Maximum Entropy (ME) and Signal-to-Noise Ratio (SNR) for image classification
• Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch
• Model Guided Road Intersection Classification
• p-FP: Extraction, Classification, and Prediction of Website Fingerprints with Deep Learning
• Bioinformatics and Medicine in the Era of Deep Learning
• Automatic Full Compilation of Julia Programs and ML Models to Cloud TPUs
• Survey of Recent Advances in Visual Question Answering
• Blockchain-based Bidirectional Updates on Fine-grained Medical Data
• Neural Rerendering in the Wild
• Geometry Constrained Weakly Supervised Object Localization
• Multitask Learning in Minimally Invasive Surgical Vision: A Review
• End-to-end Speech Recognition with Word-based RNN Language Models
• Triple Generative Adversarial Networks
• MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution
• Learning language through pictures
• Maximum Likelihood Estimation for Multimodal Learning with Missing Modality
• An Empirical Exploration of Skip Connections for Sequential Tagging
• Implementing Strassen's Algorithm with CUTLASS on NVIDIA Volta GPUs
• BinaryRelax: A Relaxation Approach For Training Deep Neural Networks With Quantized Weights
• Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors
• Compact Global Descriptor for Neural Networks
• FluentNet: End-to-End Detection of Speech Disfluency with Deep Learning
• VisRecall: Quantifying Information Visualisation Recallability via Question Answering
• Learning Robust Heterogeneous Signal Features from Parallel Neural Network for Audio Sentiment Analysis
• Learning a Discriminative Filter Bank within a CNN for Fine-grained Recognition
• PDA: Progressive Data Augmentation for General Robustness of Deep Neural Networks
• Diversified Arbitrary Style Transfer via Deep Feature Perturbation
• Camera Lens Super-Resolution
• PaintBot: A Reinforcement Learning Approach for Natural Media Painting
• Peptide-Spectra Matching from Weak Supervision
• Real-time Mask Detection on Google Edge TPU
• Active Clothing Material Perception using Tactile Sensing and Deep Learning
• Image Matters: Visually modeling user behaviors using Advanced Model Server
• Contextual-based Image Inpainting: Infer, Match, and Translate
• DiaRet: A browser-based application for the grading of Diabetic Retinopathy with Integrated Gradients
• Recent Advances in Medical Image Classification
• Autoencoder-Based Incremental Class Learning without Retraining on Old Data
• Sound2Synth: Interpreting Sound via FM Synthesizer Parameters Estimation
• Towards Characterizing and Limiting Information Exposure in DNN Layers
• ALFA: Agglomerative Late Fusion Algorithm for Object Detection
• A Systematic Mapping Study on Testing of Machine Learning Programs
• Self-Supervised Shadow Removal
• Towards Context-aware Interaction Recognition
• Building Emotional Machines: Recognizing Image Emotions through Deep Neural Networks
• VIGOR: Cross-View Image Geo-localization beyond One-to-one Retrieval
• Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks
• When and How Mixup Improves Calibration
• TrackNet: A Deep Learning Network for Tracking High-speed and Tiny Objects in Sports Applications
• Efficient Attention Network: Accelerate Attention by Searching Where to Plug
• Matching neural paths: transfer from recognition to correspondence search
• Vid2speech: Speech Reconstruction from Silent Video
• Wasserstein Style Transfer
• Deep CNNs for Peripheral Blood Cell Classification
• Scene Classification in Indoor Environments for Robots using Context Based Word Embeddings
• A simple defense against adversarial attacks on heatmap explanations
• Proactive Pseudo-Intervention: Causally Informed Contrastive Learning For Interpretable Vision Models
• Boosting Adversarial Attacks on Neural Networks with Better Optimizer
• Room for improvement in automatic image description: an error analysis
• Leveraging Angular Distributions for Improved Knowledge Distillation
• Rapid Exact Signal Scanning with Deep Convolutional Neural Networks
• Deep Joint Source Channel Coding for WirelessImage Transmission with OFDM
• Visually Grounded Word Embeddings and Richer Visual Features for Improving Multimodal Neural Machine Translation
• Deep Reinforcement Learning for Long-Short Portfolio Optimization
• Aesthetic-Driven Image Enhancement by Adversarial Learning
• Anatomy and Physiology of Artificial Intelligence in PET Imaging
• Graph-Based Object Classification for Neuromorphic Vision Sensing
• Real-time Person Re-identification at the Edge: A Mixed Precision Approach
• Performance assessment of the deep learning technologies in grading glaucoma severity
• Gated Hierarchical Attention for Image Captioning
• Basic Level Categorization Facilitates Visual Object Recognition
• What evidence does deep learning model use to classify Skin Lesions?
• Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks
• BowNet: Dilated Convolution Neural Network for Ultrasound Tongue Contour Extraction
• Task-Aware Monocular Depth Estimation for 3D Object Detection
• PolSAR Image Classification Based on Dilated Convolution and Pixel-Refining Parallel Mapping network in the Complex Domain
• Revisiting 2D Convolutional Neural Networks for Graph-based Applications
• Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform
• Cross-media Structured Common Space for Multimedia Event Extraction
• Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance
• Remote Sensor Design for Visual Recognition with Convolutional Neural Networks
• Mask Propagation Network for Video Object Segmentation
• Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains
• DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue
• Multimodal Memory Modelling for Video Captioning
• Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection
• Training Bit Fully Convolutional Network for Fast Semantic Segmentation
• Multi-label Object Attribute Classification using a Convolutional Neural Network
• Towards a Unified Multidimensional Explainability Metric: Evaluating Trustworthiness in AI Models
• Translation Insensitive CNNs
• Document Rectification and Illumination Correction using a Patch-based CNN
• ACNN: a Full Resolution DCNN for Medical Image Segmentation
• Deep Learning the Indus Script
• Towards Efficient Unconstrained Palmprint Recognition via Deep Distillation Hashing
• Multi-Task Driven Feature Models for Thermal Infrared Tracking
• ObjectNet Dataset: Reanalysis and Correction
• Bidirectional Scene Text Recognition with a Single Decoder
• Latency-Constrained DNN Architecture Learning for Edge Systems using Zerorized Batch Normalization
• E2-Capsule Neural Networks for Facial Expression Recognition Using AU-Aware Attention
• Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster
• Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images -- the ACDC@LungHP Challenge 2019
• Automatic quality assessment for 2D fetal sonographic standard plane based on multi-task learning
• General-to-Detailed GAN for Infrequent Class Medical Images
• Benanza: Automatic $\mu$Benchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs
• Traces of Class/Cross-Class Structure Pervade Deep Learning Spectra
• MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation
• Deep Inception Generative Network for Cognitive Image Inpainting
• Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
• Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples
• A Deep Neuro-Fuzzy Network for Image Classification
• Location Augmentation for CNN
• DeepSDCS: Dissecting cancer proliferation heterogeneity in Ki67 digital whole slide images
• Attention Deep Model with Multi-Scale Deep Supervision for Person Re-Identification
• MultiResolution Attention Extractor for Small Object Detection
• SpecNet: Spectral Domain Convolutional Neural Network
• Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding
• Partitioning Compute Units in CNN Acceleration for Statistical Memory Traffic Shaping
• Scale-aware Automatic Augmentation for Object Detection
• Memristor-based Deep Convolution Neural Network: A Case Study
• Deep Learning for Surface Material Classification Using Haptic And Visual Information
• An Efficient Hardware Accelerator for Structured Sparse Convolutional Neural Networks on FPGAs
• Towards Robust Training of Neural Networks by Regularizing Adversarial Gradients
• Unveiling the Potential of Structure Preserving for Weakly Supervised Object Localization
• Leveraging End-to-End Speech Recognition with Neural Architecture Search
• Active Information Acquisition
• NETNet: Neighbor Erasing and Transferring Network for Better Single Shot Object Detection
• Boosting Binary Masks for Multi-Domain Learning through Affine Transformations
• VSCNN: Convolution Neural Network Accelerator With Vector Sparsity
• Generative Dynamic Patch Attack
• Detection based Defense against Adversarial Examples from the Steganalysis Point of View
• Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion
• Deep Learning Training with Simulated Approximate Multipliers
• PDANet: Pyramid Density-aware Attention Net for Accurate Crowd Counting
• Neural Architecture Search using Particle Swarm and Ant Colony Optimization
• FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network
• Teacher's Perception in the Classroom
• A Softmax-free Loss Function Based on Predefined Optimal-distribution of Latent Features for Deep Learning Classifier
• Finding ReMO (Related Memory Object): A Simple Neural Architecture for Text based Reasoning
• Object-centric Sampling for Fine-grained Image Classification
• PENNI: Pruned Kernel Sharing for Efficient CNN Inference
• Estimation of motion blur kernel parameters using regression convolutional neural networks
• Deep CNNs along the Time Axis with Intermap Pooling for Robustness to Spectral Variations
• Machine learning technique for morphological classification of galaxies from SDSS. II. The image-based morphological catalogs of galaxies at 0.02<z<0.1
• SIP-SegNet: A Deep Convolutional Encoder-Decoder Network for Joint Semantic Segmentation and Extraction of Sclera, Iris and Pupil based on Periocular Region Suppression
• Audio-video Emotion Recognition in the Wild using Deep Hybrid Networks
• SYMOG: learning symmetric mixture of Gaussian modes for improved fixed-point quantization
• I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively
• Disentangling Adaptive Gradient Methods from Learning Rates
• FOTS: Fast Oriented Text Spotting with a Unified Network
• Right whale recognition using convolutional neural networks
• Accelerated Training for Massive Classification via Dynamic Class Selection
• A Novel Framework for Neural Architecture Search in the Hill Climbing Domain
• Advances in Medical Image Segmentation: A Comprehensive Survey with a Focus on Lumbar Spine Applications
• One-to-many face recognition with bilinear CNNs
• MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic Navigation
• Progressive Domain-Independent Feature Decomposition Network for Zero-Shot Sketch-Based Image Retrieval
• Privacy-preserving Learning via Deep Net Pruning
• OMPQ: Orthogonal Mixed Precision Quantization
• Accelerating Deep Neural Networks for Real-time Data Selection for High-resolution Imaging Particle Detectors
• Super Resolution Using Segmentation-Prior Self-Attention Generative Adversarial Network
• Learning to Discriminate Information for Online Action Detection: Analysis and Application
• Twinning Commercial Radio Waveforms in the Colosseum Wireless Network Emulator
• Kiki Kills: Identifying Dangerous Challenge Videos from Social Media
• Fast Semantic Image Segmentation with High Order Context and Guided Filtering
• Structured Pruning for Efficient ConvNets via Incremental Regularization
• Classification Confidence Estimation with Test-Time Data-Augmentation
• Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection
• Mix and match networks: encoder-decoder alignment for zero-pair image translation
• Semi-Supervised Co-Analysis of 3D Shape Styles from Projected Lines
• Contextual Visual Similarity
• Weightless Neural Network with Transfer Learning to Detect Distress in Asphalt
• Transformed ${\ell }_1$ Regularization for Learning Sparse Deep Neural Networks
• Video2Shop: Exact Matching Clothes in Videos to Online Shopping Images
• Diffusion-based Deep Active Learning
• Using Undervolting as an On-Device Defense Against Adversarial Machine Learning Attacks
• Im2win: Memory Efficient Convolution On SIMD Architectures
• Identifying Land Patterns from Satellite Imagery in Amazon Rainforest using Deep Learning
• Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformation
• Question Type Guided Attention in Visual Question Answering
• Multi-modal Approach for Affective Computing
• MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation
• MAVOT: Memory-Augmented Video Object Tracking
• Accelerating CNN Training by Pruning Activation Gradients
• A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes
• Clustering with a Reject Option: Interactive Clustering as Bayesian Prior Elicitation
• Improving Adversarial Robustness in Weight-quantized Neural Networks
• Efficient Privacy-Preserving Machine Learning with Lightweight Trusted Hardware
• Cutting out the middleman: measuring nuclear area in histopathology slides without segmentation
• Towards Testing of Deep Learning Systems with Training Set Reduction
• In-Domain GAN Inversion for Real Image Editing
• PTEENet: Post-Trained Early-Exit Neural Networks Augmentation for Inference Cost Optimization
• Salient Region Segmentation
• BaPipe: Exploration of Balanced Pipeline Parallelism for DNN Training
• A Visualized Malware Detection Framework with CNN and Conditional GAN
• Texture segmentation with Fully Convolutional Networks
• On Unifying Multi-View Self-Representations for Clustering by Tensor Multi-Rank Minimization
• Artificial Intelligence in Drug Discovery: Applications and Techniques
• An Interaction-based Convolutional Neural Network (ICNN) Towards Better Understanding of COVID-19 X-ray Images
• A Novel Framework for Online Supervised Learning with Feature Selection
• Iterative Low-Rank Approximation for CNN Compression
• Scale-Aware Network with Regional and Semantic Attentions for Crowd Counting under Cluttered Background
• Group Equivariant Generative Adversarial Networks
• Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients
• Computing a human-like reaction time metric from stable recurrent vision models
• Random Hinge Forest for Differentiable Learning
• WaveSNet: Wavelet Integrated Deep Networks for Image Segmentation
• SnCQA: A hardware-efficient equivariant quantum convolutional circuit architecture
• Gated Context Model with Embedded Priors for Deep Image Compression
• Texture Interpolation for Probing Visual Perception
• A concatenating framework of shortcut convolutional neural networks
• ByGARS: Byzantine SGD with Arbitrary Number of Attackers
• Photographic home styles in Congress: a computer vision approach
• Dense Captioning with Joint Inference and Visual Context
• Improve Object Detection by Data Enhancement based on Generative Adversarial Nets
• Instance-aware Image and Sentence Matching with Selective Multimodal LSTM
• Write-a-speaker: Text-based Emotional and Rhythmic Talking-head Generation
• Robustness of classifiers to uniform $\ell \_p$ and Gaussian noise
• Morphing Attack Detection -- Database, Evaluation Platform and Benchmarking
• UnShadowNet: Illumination Critic Guided Contrastive Learning For Shadow Removal
• Neural Networks Regularization Through Class-wise Invariant Representation Learning
• Universal, transferable and targeted adversarial attacks
• Pose Guided Fashion Image Synthesis Using Deep Generative Model
• Interpretable Uncertainty Quantification in AI for HEP
• flexgrid2vec: Learning Efficient Visual Representations Vectors
• Affordance Learning In Direct Perception for Autonomous Driving
• DFPENet-geology: A Deep Learning Framework for High Precision Recognition and Segmentation of Co-seismic Landslides
• Effective Label Propagation for Discriminative Semi-Supervised Domain Adaptation
• Fruit classification using deep feature maps in the presence of deceptive similar classes
• Pixel-aware Deep Function-mixture Network for Spectral Super-Resolution
• Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting
• Wireless for Machine Learning
• Face Parsing via Recurrent Propagation
• Monocular Depth Estimation with Hierarchical Fusion of Dilated CNNs and Soft-Weighted-Sum Inference
• Deep Learning Based Computed Tomography Whys and Wherefores
• Training Neural Networks by Using Power Linear Units (PoLUs)
• Large Scale Multimodal Classification Using an Ensemble of Transformer Models and Co-Attention
• Targeted Nonlinear Adversarial Perturbations in Images and Videos
• SWNet: Small-World Neural Networks and Rapid Convergence
• Reliable and Efficient Image Cropping: A Grid Anchor based Approach
• Exemplar-Centered Supervised Shallow Parametric Data Embedding
• An Application-Specific VLIW Processor with Vector Instruction Set for CNN Acceleration
• Optimized Broadcast for Deep Learning Workloads on Dense-GPU InfiniBand Clusters: MPI or NCCL?
• Decision-based Universal Adversarial Attack
• On the Mathematical Understanding of ResNet with Feynman Path Integral
• High-throughput, high-resolution registration-free generated adversarial network microscopy
• Towards a Multi-modal, Multi-task Learning based Pre-training Framework for Document Representation Learning
• A Novel Interaction-based Methodology Towards Explainable AI with Better Understanding of Pneumonia Chest X-ray Images
• Learning Versatile Convolution Filters for Efficient Visual Recognition
• Semantic Segmentation of Human Thigh Quadriceps Muscle in Magnetic Resonance Images
• A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning
• Deep learning with spatiotemporal consistency for nerve segmentation in ultrasound images
• Efficient Unpaired Image Dehazing with Cyclic Perceptual-Depth Supervision
• Self-Supervised Relative Depth Learning for Urban Scene Understanding
• Test Selection for Deep Learning Systems
• Deep Convolutional Neural Networks for Noise Detection in ECGs
• Multi-Scale Video Frame-Synthesis Network with Transitive Consistency Loss
• Toward Compact Deep Neural Networks via Energy-Aware Pruning
• Bio-Inspired Hashing for Unsupervised Similarity Search
• Machine learning for accelerating effective property prediction for poroelasticity problem in stochastic media
• What is the right way to represent document images?
• Deep Learning in Information Security
• Facial Landmarks Detection by Self-Iterative Regression based Landmarks-Attention Network
• Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images
• Lesion2Vec: Deep Metric Learning for Few-Shot Multiple Lesions Recognition in Wireless Capsule Endoscopy Video
• Learning to Infer Unseen Single-/Multi-Attribute-Object Compositions with Graph Networks
• Real-world Mapping of Gaze Fixations Using Instance Segmentation for Road Construction Safety Applications
• An Annotated Video Dataset for Computing Video Memorability
• DSSLIC: Deep Semantic Segmentation-based Layered Image Compression
• Concise and Effective Network for 3D Human Modeling from Orthogonal Silhouettes
• Domain-adaptive Crowd Counting via High-quality Image Translation and Density Reconstruction
• ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network
• Image Enhanced Rotation Prediction for Self-Supervised Learning
• AID++: An Updated Version of AID on Scene Classification
• Network In Graph Neural Network
• Joint Search of Data Augmentation Policies and Network Architectures
• Iterative peak-fitting of frequency-domain data via deep convolution neural networks
• Very Deep Convolutional Neural Networks for Raw Waveforms
• ICodeNet -- A Hierarchical Neural Network Approach for Source Code Author Identification
• LDC-Net: A Unified Framework for Localization, Detection and Counting in Dense Crowds
• Teaching DNNs to design fast fashion
• Data Stream Stabilization for Optical Coherence Tomography Volumetric Scanning
• Window-Object Relationship Guided Representation Learning for Generic Object Detections
• Quantifying the amount of visual information used by neural caption generators
• Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples
• Pre-gen metrics: Predicting caption quality metrics without generating captions
• Shift-BNN: Highly-Efficient Probabilistic Bayesian Neural Network Training via Memory-Friendly Pattern Retrieving
• Record Counting in Historical Handwritten Documents with Convolutional Neural Networks
• An Automotive Case Study on the Limits of Approximation for Object Detection
• Zero Shot Learning for Multi-Modal Real Time Image Registration
• Softmax-based Classification is k-means Clustering: Formal Proof, Consequences for Adversarial Attacks, and Improvement through Centroid Based Tailoring
• Fake face detection via adaptive manipulation traces extraction network
• MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning
• Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks with Backward Residual Connections, Stochastic Softmax and Hybridization
• Data and Knowledge Co-driving for Cancer Subtype Classification on Multi-Scale Histopathological Slides
• Spatio-Temporal Momentum: Jointly Learning Time-Series and Cross-Sectional Strategies
• Monaural source enhancement maximizing source-to-distortion ratio via automatic differentiation
• Feature Selective Small Object Detection via Knowledge-based Recurrent Attentive Neural Network
• Trear: Transformer-based RGB-D Egocentric Action Recognition
• Learning High-level Prior with Convolutional Neural Networks for Semantic Segmentation
• Learning Personal Style from Few Examples
• Fast Neural Architecture Construction using EnvelopeNets
• Exploiting Temporal Relationships in Video Moment Localization with Natural Language
• Better Text Understanding Through Image-To-Text Transfer
• Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation
• Random Noise Defense Against Query-Based Black-Box Attacks
• Surveillance Video Parsing with Single Frame Supervision
• Local Label Propagation for Large-Scale Semi-Supervised Learning
• Learning Fine-grained Features via a CNN Tree for Large-scale Classification
• RankPose: Learning Generalised Feature with Rank Supervision for Head Pose Estimation
• Blending LSTMs into CNNs
• ImmuNeCS: Neural Committee Search by an Artificial Immune System
• Exploiting the Tradeoff between Program Accuracy and Soft-error Resiliency Overhead for Machine Learning Workloads
• Which cycling environment appears safer? Learning cycling safety perceptions from pairwise image comparisons
• Accelerating Binarized Neural Networks via Bit-Tensor-Cores in Turing GPUs
• Saliency Detection by Forward and Backward Cues in Deep-CNNs
• Deep Tensor Convolution on Multicores
• On Compressing U-net Using Knowledge Distillation
• An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation
• Selective Deep Convolutional Features for Image Retrieval
• Fast Face-swap Using Convolutional Neural Networks
• Multi-Stage Pathological Image Classification using Semantic Segmentation
• Single Image Reflection Removal through Cascaded Refinement
• DAmageNet: A Universal Adversarial Dataset
• A Novel Automation-Assisted Cervical Cancer Reading Method Based on Convolutional Neural Network
• DeepGalaxy: Deducing the Properties of Galaxy Mergers from Images Using Deep Neural Networks
• MIME: Adapting a Single Neural Network for Multi-task Inference with Memory-efficient Dynamic Pruning
• Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial Networks
• Instance-level Facial Attributes Transfer with Geometry-Aware Flow
• Robust Face Detection via Learning Small Faces on Hard Images
• Model Fusion via Optimal Transport
• SGAD: Soft-Guided Adaptively-Dropped Neural Network
• Sequential Graph Convolutional Network for Active Learning
• Co-Salient Object Detection with Semantic-Level Consensus Extraction and Dispersion
• Support-Set Based Cross-Supervision for Video Grounding
• Beyond Fine Tuning: A Modular Approach to Learning on Small Data
• ReHAR: Robust and Efficient Human Activity Recognition
• Textually Enriched Neural Module Networks for Visual Question Answering
• Shoulder Implant X-Ray Manufacturer Classification: Exploring with Vision Transformer
• Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes
• Multiple Instance Segmentation in Brachial Plexus Ultrasound Image Using BPMSegNet
• Scene Understanding for Autonomous Driving
• Event Selection and Background Rejection in Time Projection Chambers Using Convolutional Neural Networks and a Specific Application to the AdEPT Gamma-ray Polarimeter Mission
• Unsupervised Learning of Edges
• Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network
• HSD-CNN: Hierarchically self decomposing CNN architecture using class specific filter sensitivity analysis
• PointAtrousGraph: Deep Hierarchical Encoder-Decoder with Point Atrous Convolution for Unorganized 3D Points
• Adaptation Across Extreme Variations using Unlabeled Domain Bridges
• Gradually Applying Weakly Supervised and Active Learning for Mass Detection in Breast Ultrasound Images
• DeSTNet: Densely Fused Spatial Transformer Networks
• An Out-of-the-box Full-network Embedding for Convolutional Neural Networks
• Compressibility Loss for Neural Network Weights
• Image Segmentation of Zona-Ablated Human Blastocysts
• Analytic Network Learning
• Extraction of Complex DNN Models: Real Threat or Boogeyman?
• Successive Embedding and Classification Loss for Aerial Image Classification
• Efficient Training of Very Deep Neural Networks for Supervised Hashing
• Transfer Learning with Deep CNNs for Gender Recognition and Age Estimation
• A Deep-learning-based Method for PIR-based Multi-person Localization
• SurReal: enhancing Surgical simulation Realism using style transfer
• Single-Camera Basketball Tracker through Pose and Semantic Feature Fusion
• HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation
• Rethinking Recurrent Neural Networks and Other Improvements for Image Classification
• Visual Space Optimization for Zero-shot Learning
• Improving Deep Image Clustering With Spatial Transformer Layers
• Improving Deep Representation Learning via Auxiliary Learnable Target Coding
• Optimization-based Block Coordinate Gradient Coding for Mitigating Partial Stragglers in Distributed Learning
• MarioQA: Answering Questions by Watching Gameplay Videos
• MorphGAN: One-Shot Face Synthesis GAN for Detecting Recognition Bias
• LiDAR Data Enrichment Using Deep Learning Based on High-Resolution Image: An Approach to Achieve High-Performance LiDAR SLAM Using Low-cost LiDAR
• Weakly Supervised Silhouette-based Semantic Scene Change Detection
• Compact Descriptors for Video Analysis: the Emerging MPEG Standard
• Object-Scene Convolutional Neural Networks for Event Recognition in Images
• DIGITOUR: Automatic Digital Tours for Real-Estate Properties
• Accelerating Deterministic and Stochastic Binarized Neural Networks on FPGAs Using OpenCL
• PatternNet: Visual Pattern Mining with Deep Neural Network
• A Deep Learning-Based FPGA Function Block Detection Method with Bitstream to Image Transformation
• Relational Long Short-Term Memory for Video Action Recognition
• Unsupervised Part Mining for Fine-grained Image Classification
• Searching for Ambiguous Objects in Videos using Relational Referring Expressions
• Interleaver Design for Deep Neural Networks
• Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation
• An AI System for Continuous Knee Osteoarthritis Severity Grading Using Self-Supervised Anomaly Detection with Limited Data
• Topology-Aware Graph Pooling Networks
• Deep Scene Text Detection with Connected Component Proposals
• Video Contents Understanding using Deep Neural Networks
• Towards Proof Synthesis Guided by Neural Machine Translation for Intuitionistic Propositional Logic
• Streamlining Tensor and Network Pruning in PyTorch
• Deep Regionlets for Object Detection
• Adversarial Attacks in Sound Event Classification
• DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification
• Skeleton Focused Human Activity Recognition in RGB Video
• Image Generation from Layout
• Classification of Dermoscopy Images using Deep Learning
• An ELU Network with Total Variation for Image Denoising
• Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification
• DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks
• Learning monocular depth estimation with unsupervised trinocular assumptions
• Visual Localization for Autonomous Driving: Mapping the Accurate Location in the City Maze
• Fast Object Detection in Compressed Video
• GOAT: GPU Outsourcing of Deep Learning Training With Asynchronous Probabilistic Integrity Verification Inside Trusted Execution Environment
• Enabling Retrain-free Deep Neural Network Pruning using Surrogate Lagrangian Relaxation
• From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval
• When Do Curricula Work?
• A proposal and evaluation of new timbre visualisation methods for audio sample browsers
• Retinal Malady Classification using AI: A novel ViT-SVM combination architecture
• Diverse Image Synthesis from Semantic Layouts via Conditional IMLE
• FakET: Simulating Cryo-Electron Tomograms with Neural Style Transfer
• A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation
• HadaNets: Flexible Quantization Strategies for Neural Networks
• Smart Library: Identifying Books in a Library using Richly Supervised Deep Scene Text Reading
• Rethinking Numerical Representations for Deep Neural Networks
• Unsupervised Deep Representation Learning for Real-Time Tracking
• Feature Boosting, Suppression, and Diversification for Fine-Grained Visual Classification
• Automatic Tracking of the Muscle Tendon Junction in Healthy and Impaired Subjects using Deep Learning
• Learning Compositional Visual Concepts with Mutual Consistency
• Learning to Sample the Most Useful Training Patches from Images
• Parametrization of sunspot groups based on machine learning approach
• Learning from scarce information: using synthetic data to classify Roman fine ware pottery
• Recapture as You Want
• Propagating Asymptotic-Estimated Gradients for Low Bitwidth Quantized Neural Networks
• Frustrated with Replicating Claims of a Shared Model? A Solution
• At Stability's Edge: How to Adjust Hyperparameters to Preserve Minima Selection in Asynchronous Training of Neural Networks?
• PILArNet: Public Dataset for Particle Imaging Liquid Argon Detectors in High Energy Physics
• Transferring human emotions to robot motions using Neural Policy Style Transfer
• Learning Filter Basis for Convolutional Neural Network Compression
• FusionLane: Multi-Sensor Fusion for Lane Marking Semantic Segmentation Using Deep Neural Networks
• Improving Query Efficiency of Black-box Adversarial Attack
• BrainSlug: Transparent Acceleration of Deep Learning Through Depth-First Parallelism
• End-to-End Kernel Learning with Supervised Convolutional Kernel Networks
• Vision-based Robot Manipulation Learning via Human Demonstrations
• Joint one-sided synthetic unpaired image translation and segmentation for colorectal cancer prevention
• Towards cost-effective and resource-aware aggregation at Edge for Federated Learning
• CAR-Net: Clairvoyant Attentive Recurrent Network
• Deep Blind Image Inpainting
• Hyperspectral Dataset and Deep Learning methods for Waste from Electric and Electronic Equipment Identification (WEEE)
• Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach
• Optimal Adaptive and Accelerated Stochastic Gradient Descent
• On Classification of Distorted Images with Deep Convolutional Neural Networks
• FPANet: Frequency-based Video Demoireing using Frame-level Post Alignment
• A Power-Efficient Binary-Weight Spiking Neural Network Architecture for Real-Time Object Classification
• Improving Breast Cancer Detection using Symmetry Information with Deep Learning
• Transfer Learning for Wildlife Classification: Evaluating YOLOv8 against DenseNet, ResNet, and VGGNet on a Custom Dataset
• Impact of ultrasound image reconstruction method on breast lesion classification with neural transfer learning
• Designing a Micro-Benchmark Suite to Evaluate gRPC for TensorFlow: Early Experiences
• NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency
• A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
• Autoencoder Based Residual Deep Networks for Robust Regression Prediction and Spatiotemporal Estimation
• Progressive Neural Networks for Image Classification
• A General Family of Stochastic Proximal Gradient Methods for Deep Learning
• SiCloPe: Silhouette-Based Clothed People
• Generalizable Pedestrian Detection: The Elephant In The Room
• PANDA: Facilitating Usable AI Development
• SNN: Stacked Neural Networks
• Demographic Bias in Presentation Attack Detection of Iris Recognition Systems
• Wide-Residual-Inception Networks for Real-time Object Detection
• An Open-source Tool for Hyperspectral Image Augmentation in Tensorflow
• Social Scene Understanding: End-to-End Multi-Person Action Localization and Collective Activity Recognition
• PURSUhInT: In Search of Informative Hint Points Based on Layer Clustering for Knowledge Distillation
• Towards Compact CNNs via Collaborative Compression
• Frequency Centric Defense Mechanisms against Adversarial Examples
• Exploring the Role of Machine Learning in Scientific Workflows: Opportunities and Challenges
• Spectro-Temporal RF Identification using Deep Learning
• Constrained deep neural network architecture search for IoT devices accounting hardware calibration
• Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks
• Pola4All: survey of polarimetric applications and an open-source toolkit to analyze polarization
• Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval
• Text-Independent Speaker Verification Using Long Short-Term Memory Networks
• Rock Classification in Petrographic Thin Section Images Based on Concatenated Convolutional Neural Networks
• Automatically Searching for U-Net Image Translator Architecture
• ResFPN: Residual Skip Connections in Multi-Resolution Feature Pyramid Networks for Accurate Dense Pixel Matching
• Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics
• Automatic Cell Counting in Flourescent Microscopy Using Deep Learning
• Collaborative Distillation for Ultra-Resolution Universal Style Transfer
• GANosaic: Mosaic Creation with Generative Texture Manifolds
• Be Like Water: Robustness to Extraneous Variables Via Adaptive Feature Normalization
• UC Merced Submission to the ActivityNet Challenge 2016
• SCATTER: Selective Context Attentional Scene Text Recognizer
• Graph neural network-based structural classification of glass-forming liquids and its interpretation via self-attention mechanism
• Deep neural network initialization with decision trees
• Learning Whole-Image Descriptors for Real-time Loop Detection andKidnap Recovery under Large Viewpoint Difference
• Detecting Semantic Parts on Partially Occluded Objects
• Deep Structured Scene Parsing by Learning with Image Descriptions
• Towards Single Stage Weakly Supervised Semantic Segmentation
• Deep Residual 3D U-Net for Joint Segmentation and Texture Classification of Nodules in Lung
• Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
• Emotion Recognition for In-the-wild Videos
• TPCN: Temporal Point Cloud Networks for Motion Forecasting
• A Simple General Approach to Balance Task Difficulty in Multi-Task Learning
• Skin Lesion Classification Using Hybrid Deep Neural Networks
• High-Performance Deep Learning via a Single Building Block
• Calibrate and Prune: Improving Reliability of Lottery Tickets Through Prediction Calibration
• A Transferable Anti-Forensic Attack on Forensic CNNs Using A Generative Adversarial Network
• Exploring Gradient Flow Based Saliency for DNN Model Compression
• Grafted network for person re-identification
• CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs
• Virtual Piano using Computer Vision
• Learning Probabilistic Coordinate Fields for Robust Correspondences
• Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer
• Is Faster R-CNN Doing Well for Pedestrian Detection?
• DCNN-GAN: Reconstructing Realistic Image from fMRI
• Self Sparse Generative Adversarial Networks
• Deep Attentional Structured Representation Learning for Visual Recognition
• Robustness of Visual Explanations to Common Data Augmentation
• Accelerating Deep Learning Inference via Learned Caches
• Semantic Object Parsing with Graph LSTM
• DAVE: A Unified Framework for Fast Vehicle Detection and Annotation
• An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-Identification
• FAST: Faster Arbitrarily-Shaped Text Detector with Minimalist Kernel Representation
• Deploy Large-Scale Deep Neural Networks in Resource Constrained IoT Devices with Local Quantization Region
• Chinese Typeface Transformation with Hierarchical Adversarial Network
• Deep Fusion: An Attention Guided Factorized Bilinear Pooling for Audio-video Emotion Recognition
• Unsupervised Learning for Large-Scale Fiber Detection and Tracking in Microscopic Material Images
• Photo Filter Recommendation by Category-Aware Aesthetic Learning
• Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing
• Discriminative convolutional Fisher vector network for action recognition
• Universal Approximation with Quadratic Deep Networks
• Kiwifruit detection in challenging conditions
• Feature Prioritization and Regularization Improve Standard Accuracy and Adversarial Robustness
• Revisiting Loss Modelling for Unstructured Pruning
• Shadow Transfer: Single Image Relighting For Urban Road Scenes
• Seesaw-Net: Convolution Neural Network With Uneven Group Convolution
• Enhancing Adversarial Defense by k-Winners-Take-All
• FReeNet: Multi-Identity Face Reenactment
• Importance Sampling CAMs for Weakly-Supervised Segmentation
• COAC: Cross-layer Optimization of Accelerator Configurability for Efficient CNN Processing
• CorrAttack: Black-box Adversarial Attack with Structured Search
• Listen carefully and tell: an audio captioning system based on residual learning and gammatone audio representation
• Perceptual Visual Interactive Learning
• Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI
• Learning Sparse Neural Networks via Sensitivity-Driven Regularization
• Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter
• Towards Unsupervised Crowd Counting via Regression-Detection Bi-knowledge Transfer
• Reducing the Training Time of Neural Networks by Partitioning
• Transfer learning of language-independent end-to-end ASR with language model fusion
• Learning of Image Dehazing Models for Segmentation Tasks
• Transferred Discrepancy: Quantifying the Difference Between Representations
• TSIT: A Simple and Versatile Framework for Image-to-Image Translation
• Good Practices and A Strong Baseline for Traffic Anomaly Detection
• Rethinking Training from Scratch for Object Detection
• Improving Robustness to Model Inversion Attacks via Mutual Information Regularization
• Composer Style Classification of Piano Sheet Music Images Using Language Model Pretraining
• A Fast and Compact Saliency Score Regression Network Based on Fully Convolutional Network
• Zero-Shot Transfer VQA Dataset
• Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation
• Cross-Domain Face Verification: Matching ID Document and Self-Portrait Photographs
• Exploring the Hierarchy in Relation Labels for Scene Graph Generation
• Spatial-Temporal Map Vehicle Trajectory Detection Using Dynamic Mode Decomposition and Res-UNet+ Neural Networks
• Strength in Numbers: Trading-off Robustness and Computation via Adversarially-Trained Ensembles
• Unsupervised Learning Facial Parameter Regressor for Action Unit Intensity Estimation via Differentiable Renderer
• Combining High-Level Features of Raw Audio Waves and Mel-Spectrograms for Audio Tagging
• Multi-task deep CNN model for no-reference image quality assessment on smartphone camera photos
• Web Applicable Computer-aided Diagnosis of Glaucoma Using Deep Learning
• AGILE: Approach-based Grasp Inference Learned from Element Decomposition
• A dataset and exploration of models for understanding video data through fill-in-the-blank question-answering
• CIRA Guide to Custom Loss Functions for Neural Networks in Environmental Sciences -- Version 1
• Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing
• Towards Predicting the Likeability of Fashion Images
• Deep Learning Assessment of Tumor Proliferation in Breast Cancer Histological Images
• Sparsifying Neural Network Connections for Face Recognition
• CAMERAS: Enhanced Resolution And Sanity preserving Class Activation Mapping for image saliency
• ESAI: Efficient Split Artificial Intelligence via Early Exiting Using Neural Architecture Search
• Fast Training of Triplet-based Deep Binary Embedding Networks
• Multi-stage Object Detection with Group Recursive Learning
• Image-Guided Navigation of a Robotic Ultrasound Probe for Autonomous Spinal Sonography Using a Shadow-aware Dual-Agent Framework
• Structured Feature Learning for Pose Estimation
• Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation
• Clustering in Recurrent Neural Networks for Micro-Segmentation using Spending Personality
• Collective Intelligence for Deep Learning: A Survey of Recent Developments
• Semantic-embedded Similarity Prototype for Scene Recognition
• Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
• Recognizing Material Properties from Images
• Deep Stacked Networks with Residual Polishing for Image Inpainting
• Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey)
• Towards Structured Analysis of Broadcast Badminton Videos
• Context-Aware Semantic Inpainting
• Inpainting hydrodynamical maps with deep learning
• Deep Learning with Uncertainty Quantification for Predicting the Segmentation Dice Coefficient of Prostate Cancer Biopsy Images
• Learning from Crowds with Crowd-Kit
• Error Correction for Dense Semantic Image Labeling
• Diverse Sample Generation: Pushing the Limit of Generative Data-free Quantization
• Cross-view Geo-localization with Evolving Transformer
• Accelerating Distributed ML Training via Selective Synchronization
• Growing Cosine Unit: A Novel Oscillatory Activation Function That Can Speedup Training and Reduce Parameters in Convolutional Neural Networks
• InverseNet: Solving Inverse Problems with Splitting Networks
• Deep Learning for Metagenomic Data: using 2D Embeddings and Convolutional Neural Networks
• ArbiText: Arbitrary-Oriented Text Detection in Unconstrained Scene
• Providing theoretical learning guarantees to Deep Learning Networks
• MmWave Radar and Vision Fusion for Object Detection in Autonomous Driving: A Review
• Hire-MLP: Vision MLP via Hierarchical Rearrangement
• MetaML: Automating Customizable Cross-Stage Design-Flow for Deep Learning Acceleration
• Learning the semantic structure of objects from Web supervision
• Augmentation Pathways Network for Visual Recognition
• Revealing structure components of the retina by deep learning networks
• Learning-based Preference Prediction for Constrained Multi-Criteria Path-Planning
• Building Data-driven Models with Microstructural Images: Generalization and Interpretability
• Multi-Level Recurrent Residual Networks for Action Recognition
• Human-in-the-loop Extraction of Interpretable Concepts in Deep Learning Models
• One-to-Many Network for Visually Pleasing Compression Artifacts Reduction
• Robust Pose Transfer with Dynamic Details using Neural Video Rendering
• Micro-Expression Spotting: A Benchmark
• Structure-Preserving Deraining with Residue Channel Prior Guidance
• Object Recognition with and without Objects
• Towards Interpretable Attention Networks for Cervical Cancer Analysis
• A Novel Stochastic Stratified Average Gradient Method: Convergence Rate and Its Complexity
• DeepRT: A Soft Real Time Scheduler for Computer Vision Applications on the Edge
• Computation Error Analysis of Block Floating Point Arithmetic Oriented Convolution Neural Network Accelerator Design
• Relative stability toward diffeomorphisms indicates performance in deep nets
• Deep Insights of Deepfake Technology : A Review
• Tag Prediction at Flickr: a View from the Darkroom
• OCTOPUS: Overcoming Performance andPrivatization Bottlenecks in Distributed Learning
• GraVAC: Adaptive Compression for Communication-Efficient Distributed DL Training
• VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding
• What are the visual features underlying human versus machine vision?
• Deep residual learning in CT physics: scatter correction for spectral CT
• Joint Discovery of Object States and Manipulation Actions
• Real-time visual tracking by deep reinforced decision making
• DA-RNN: Semantic Mapping with Data Associated Recurrent Neural Networks
• Learning a CNN-based End-to-End Controller for a Formula SAE Racecar
• Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis
• DW-GAN: A Discrete Wavelet Transform GAN for NonHomogeneous Dehazing
• GUN: Gradual Upsampling Network for Single Image Super-Resolution
• VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding
• DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer
• Face Detection, Bounding Box Aggregation and Pose Estimation for Robust Facial Landmark Localisation in the Wild
• F-SIOL-310: A Robotic Dataset and Benchmark for Few-Shot Incremental Object Learning
• How hard can it be? Estimating the difficulty of visual search in an image
• Single Image Super-Resolution Using Multi-Scale Convolutional Neural Network
• Nondeterminism and Instability in Neural Network Optimization
• Body Joint guided 3D Deep Convolutional Descriptors for Action Recognition
• Acoustic Scene Classification Using Fusion of Attentive Convolutional Neural Networks for DCASE2019 Challenge
• Picasso: A Modular Framework for Visualizing the Learning Process of Neural Network Image Classifiers
• Deep Rotation Equivariant Network
• Fast and Reliable Probabilistic Face Embeddings in the Wild
• Convolutional Neural Network Simplification with Progressive Retraining
• COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning
• Context-Aware Single-Shot Detector
• Audio-visual Representation Learning for Anomaly Events Detection in Crowds
• Challenges in Time-Stamp Aware Anomaly Detection in Traffic Videos
• Making CNNs for Video Parsing Accessible
• Unconstrained Face Verification using Deep CNN Features
• Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection
• AI-Skin : Skin Disease Recognition based on Self-learning and Wide Data Collection through a Closed Loop Framework
• SuperChat: Dialogue Generation by Transfer Learning from Vision to Language using Two-dimensional Word Embedding and Pretrained ImageNet CNN Models
• Scattering Transform Based Image Clustering using Projection onto Orthogonal Complement
• Energy-Based Models for Continual Learning
• One Explanation is Not Enough: Structured Attention Graphs for Image Classification
• A Deep Learning-based in silico Framework for Optimization on Retinal Prosthetic Stimulation
• Visual Reasoning: from State to Transformation
• Machine Vision Using Cellphone Camera: A Comparison of deep networks for classifying three challenging denominations of Indian Coins
• Dynamically Visual Disambiguation of Keyword-based Image Search
• U-Net Based Multi-instance Video Object Segmentation
• Learning Perspective Undistortion of Portraits
• Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A Survey
• Self-Supervised Visual Place Recognition Learning in Mobile Robots
• A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning
• ResNet Can Be Pruned 60x: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning
• Let's Get the FACS Straight -- Reconstructing Obstructed Facial Features
• Neural Network Compression Via Sparse Optimization
• Unsupervised MR Motion Artifact Deep Learning using Outlier-Rejecting Bootstrap Aggregation
• Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition
• Deep saliency: What is learnt by a deep network about saliency?
• DENet: A Universal Network for Counting Crowd with Varying Densities and Scales
• Schizophrenia-mimicking layers outperform conventional neural network layers
• Information-Theoretic Visual Explanation for Black-Box Classifiers
• DSNet: An Efficient CNN for Road Scene Segmentation
• Learning Correspondence from the Cycle-Consistency of Time
• Influence-Directed Explanations for Deep Convolutional Networks
• Implicit Regularization via Neural Feature Alignment
• Multi-Prototype Networks for Unconstrained Set-based Face Recognition
• On the Privacy Risks of Cell-Based NAS Architectures
• Deep Inference of Personality Traits by Integrating Image and Word Use in Social Networks
• Optimizing DNN Compilation for Distributed Training with Joint OP and Tensor Fusion
• Automatic Target Recognition on Synthetic Aperture Radar Imagery: A Survey
• KVL-BERT: Knowledge Enhanced Visual-and-Linguistic BERT for Visual Commonsense Reasoning
• Continual Representation Learning for Biometric Identification
• MMKG: Multi-Modal Knowledge Graphs
• DeepOBS: A Deep Learning Optimizer Benchmark Suite
• Semantic-Guided Representation Enhancement for Self-supervised Monocular Trained Depth Estimation
• CorrLoss: Integrating Co-Occurrence Domain Knowledge for Affect Recognition
• Beyond Random Matrix Theory for Deep Networks
• Computation-Efficient Knowledge Distillation via Uncertainty-Aware Mixup
• Forged Image Detection using SOTA Image Classification Deep Learning Methods for Image Forensics with Error Level Analysis
• Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision
• Attention-based Image Upsampling
• Deep Dose Plugin Towards Real-time Monte Carlo Dose Calculation Through a Deep Learning based Denoising Algorithm
• Accelerating Natural Gradient with Higher-Order Invariance
• Explaining Predictions by Approximating the Local Decision Boundary
• MVFNet: Multi-View Fusion Network for Efficient Video Recognition
• Learn to segment single cells with deep distance estimator and deep cell detector
• Weighted Bilinear Coding over Salient Body Parts for Person Re-identification
• Deep execution monitor for robot assistive tasks
• SOAR: Second-Order Adversarial Regularization
• Noether Networks: Meta-Learning Useful Conserved Quantities
• NeuNetS: An Automated Synthesis Engine for Neural Network Design
• HierTrain: Fast Hierarchical Edge AI Learning with Hybrid Parallelism in Mobile-Edge-Cloud Computing
• Densely Connected Recurrent Residual (Dense R2UNet) Convolutional Neural Network for Segmentation of Lung CT Images
• Reference-Conditioned Super-Resolution by Neural Texture Transfer
• Deep Variational Sufficient Dimensionality Reduction
• KS(conf ): A Light-Weight Test if a ConvNet Operates Outside of Its Specifications
• FishEyeRecNet: A Multi-Context Collaborative Deep Network for Fisheye Image Rectification
• AISPEECH-SJTU accent identification system for the Accented English Speech Recognition Challenge
• Adaptive Object Detection with Dual Multi-Label Prediction
• TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning
• Multimodal Feature-Driven Deep Learning for the Prediction of Duck Body Dimensions and Weight
• Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training
• Discriminator Feature-based Inference by Recycling the Discriminator of GANs
• Learning Test-time Augmentation for Content-based Image Retrieval
• Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision
• Classifying the classifier: dissecting the weight space of neural networks
• Improving Global Adversarial Robustness Generalization With Adversarially Trained GAN
• Consistent Sparse Deep Learning: Theory and Computation
• PSDoodle: Fast App Screen Search via Partial Screen Doodle
• Unifying and Merging Well-trained Deep Neural Networks for Inference Stage
• A Large-scale Attribute Dataset for Zero-shot Learning
• CrisisViT: A Robust Vision Transformer for Crisis Image Classification
• Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks
• An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices
• Breast mass segmentation based on ultrasonic entropy maps and attention gated U-Net
• Deep Feature Factorization For Concept Discovery
• Spatial Likelihood Voting with Self-Knowledge Distillation for Weakly Supervised Object Detection
• Scaling Binarized Neural Networks on Reconfigurable Logic
• CDFI: Compression-Driven Network Design for Frame Interpolation
• Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation
• ManiGAN: Text-Guided Image Manipulation
• E-Stitchup: Data Augmentation for Pre-Trained Embeddings
• Using Mode Connectivity for Loss Landscape Analysis
• Structure Causal Models and LLMs Integration in Medical Visual Question Answering
• Object classification in images of Neoclassical furniture using Deep Learning
• Multi-Modal Attention-based Fusion Model for Semantic Segmentation of RGB-Depth Images
• Image Classification for Arabic: Assessing the Accuracy of Direct English to Arabic Translations
• Improving Feature Attribution through Input-specific Network Pruning
• CAGFuzz: Coverage-Guided Adversarial Generative Fuzzing Testing of Deep Learning Systems
• Unconstrained Facial Expression Transfer using Style-based Generator
• TransRPPG: Remote Photoplethysmography Transformer for 3D Mask Face Presentation Attack Detection
• Chain-NN: An Energy-Efficient 1D Chain Architecture for Accelerating Deep Convolutional Neural Networks
• Comparing Deep Learning Models for Multi-cell Classification in Liquid-based Cervical Cytology Images
• Semantic Segmentation by Improved Generative Adversarial Networks
• A Neural Spiking Approach Compared to Deep Feedforward Networks on Stepwise Pixel Erasement
• Efficient identification, localization and quantification of grapevine inflorescences in unprepared field images using Fully Convolutional Networks
• Maximally Invariant Data Perturbation as Explanation
• Residual Network based Aggregation Model for Skin Lesion Classification
• EdgeCompress: Coupling Multidimensional Model Compression and Dynamic Inference for EdgeAI
• Learning 3D Shapes as Multi-Layered Height-maps using 2D Convolutional Networks
• CRIMP: Compact & Reliable DNN Inference on In-Memory Processing via Crossbar-Aligned Compression and Non-ideality Adaptation
• 3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion Detection
• On the Depth of Deep Neural Networks: A Theoretical View
• End-to-End Deep Kronecker-Product Matching for Person Re-identification
• Evaluating and Boosting Uncertainty Quantification in Classification
• ModuleNet: Knowledge-inherited Neural Architecture Search
• Visuomotor Understanding for Representation Learning of Driving Scenes
• Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN
• Improving the Annotation of DeepFashion Images for Fine-grained Attribute Recognition
• An Advert Creation System for Next-Gen Publicity
• VIDI: A Video Dataset of Incidents
• Parallax: Sparsity-aware Data Parallel Training of Deep Neural Networks
• Simultaneous Region Localization and Hash Coding for Fine-grained Image Retrieval
• Benchmarking the Performance and Energy Efficiency of AI Accelerators for AI Training
• A3GAN: An Attribute-aware Attentive Generative Adversarial Network for Face Aging
• sCrop: A Internet-of-Agro-Things (IoAT) Enabled Solar Powered Smart Device for Automatic Plant Disease Prediction
• Unsupervised Representation Learning for 3D MRI Super Resolution with Degradation Adaptation
• Densely Connected Convolutional Networks for Speech Recognition
• Self-reinforcing Unsupervised Matching
• SGDN: Segmentation-Based Grasp Detection Network For Unsymmetrical Three-Finger Gripper
• Trustable and Automated Machine Learning Running with Blockchain and Its Applications
• Bayesian Neural Networks at Scale: A Performance Analysis and Pruning Study
• Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data
• Real-time Memory Efficient Large-pose Face Alignment via Deep Evolutionary Network
• EMPNet: Neural Localisation and Mapping Using Embedded Memory Points
• FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval
• Automatic acute ischemic stroke lesion segmentation using semi-supervised learning
• Robust Object Detection under Occlusion with Context-Aware CompositionalNets
• Learning to Navigate Autonomously in Outdoor Environments : MAVNet
• Shapley Value as Principled Metric for Structured Network Pruning
• A Stochastic Extra-Step Quasi-Newton Method for Nonsmooth Nonconvex Optimization
• Video Stitching for Linear Camera Arrays
• Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Segmentation
• End-to-end Image Captioning Exploits Multimodal Distributional Similarity
• CNN-based Automatic Detection of Bone Conditions via Diagnostic CT Images for Osteoporosis Screening
• On the Effectiveness of Regularization Against Membership Inference Attacks
• PRGFlow: Benchmarking SWAP-Aware Unified Deep Visual Inertial Odometry
• Monocular Per-Object Distance Estimation with Masked Object Modeling
• Neural Epitome Search for Architecture-Agnostic Network Compression
• Pose Induction for Novel Object Categories
• Instant automatic diagnosis of diabetic retinopathy
• AutoGrow: Automatic Layer Growing in Deep Convolutional Networks
• Stochastic Neural Network with Kronecker Flow
• Deep Similarity Metric Learning for Real-Time Pedestrian Tracking
• A Concise Review of Recent Few-shot Meta-learning Methods
• Learning Discriminative Features via Label Consistent Neural Network
• Quasiconformal model with CNN features for large deformation image registration
• Visual Concept Recognition and Localization via Iterative Introspection
• Relation Transformer Network
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• A new way to constrain the densities of intra-group medium in groups of galaxies with convolutional neural networks
• Multiple Sclerosis Lesion Inpainting Using Non-Local Partial Convolutions
• Rapid Visual Categorization is not Guided by Early Salience-Based Selection
• AutoScaler: Scale-Attention Networks for Visual Correspondence
• Research on facial expression recognition based on Multimodal data fusion and neural network
• Human-like machine thinking: Language guided imagination
• Controlling biases and diversity in diverse image-to-image translation
• A Deep Decoder Structure Based on WordEmbedding Regression for An Encoder-Decoder Based Model for Image Captioning
• Neurlux: Dynamic Malware Analysis Without Feature Engineering
• Aff-Wild Database and AffWildNet
• Satellite imagery analysis for operational damage assessment in Emergency situations
• Multi-view PointNet for 3D Scene Understanding
• Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking
• To learn image super-resolution, use a GAN to learn how to do image degradation first
• Learning Sparse Mixture of Experts for Visual Question Answering
• Multilevel Context Representation for Improving Object Recognition
• Learning Representations For Images With Hierarchical Labels
• The UPC Speaker Verification System Submitted to VoxCeleb Speaker Recognition Challenge 2020 (VoxSRC-20)
• Predicting Conversion of Mild Cognitive Impairments to Alzheimer's Disease and Exploring Impact of Neuroimaging
• Differentiable Visual Computing
• Learning Generalized Hybrid Proximity Representation for Image Recognition
• Testing the Efficient Network TRaining (ENTR) Hypothesis: initially reducing training image size makes Convolutional Neural Network training for image recognition tasks more efficient
• Exponential Pixelating Integral transform with dual fractal features for enhanced chest X-ray abnormality detection
• Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA
• Deep Learning to See: Towards New Foundations of Computer Vision
• On the Consistency of Top-k Surrogate Losses
• Exploiting Operation Importance for Differentiable Neural Architecture Search
• Learning Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision
• Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation
• Arbitrary Scale Super-Resolution for Brain MRI Images
• Deep Sketch-Photo Face Recognition Assisted by Facial Attributes
• Facial Expression Editing with Continuous Emotion Labels
• Parameter Efficient Deep Neural Networks with Bilinear Projections
• An Analog Neural Network Computing Engine using CMOS-Compatible Charge-Trap-Transistor (CTT)
• MSVD-Turkish: A Comprehensive Multimodal Dataset for Integrated Vision and Language Research in Turkish
• Learning Channel Inter-dependencies at Multiple Scales on Dense Networks for Face Recognition
• PD-GAN: Probabilistic Diverse GAN for Image Inpainting
• SCOUT: Self-aware Discriminant Counterfactual Explanations
• Generalizing Universal Adversarial Attacks Beyond Additive Perturbations
• Detecting Memorization in ReLU Networks
• Learning Orientation-Estimation Convolutional Neural Network for Building Detection in Optical Remote Sensing Image
• Deep Detail Enhancement for Any Garment
• Deep BV: A Fully Automated System for Brain Ventricle Localization and Segmentation in 3D Ultrasound Images of Embryonic Mice
• Investigating Transfer Learning Capabilities of Vision Transformers and CNNs by Fine-Tuning a Single Trainable Block
• Feature Analysis and Selection for Training an End-to-End Autonomous Vehicle Controller Using the Deep Learning Approach
• Motion Feature Network: Fixed Motion Filter for Action Recognition
• Recent Advances in Efficient Computation of Deep Convolutional Neural Networks
• Damage GAN: A Generative Model for Imbalanced Data
• Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning
• First-Person Activity Forecasting with Online Inverse Reinforcement Learning
• Convolutional Neural Network-Based Automatic Classification of Colorectal and Prostate Tumor Biopsies Using Multispectral Imagery: System Development Study
• Computation-Performance Optimization of Convolutional Neural Networks with Redundant Kernel Removal
• Multi-level Wavelet Convolutional Neural Networks
• Object-Level Context Modeling For Scene Classification with Context-CNN
• Visual Framing of Science Conspiracy Videos: Integrating Machine Learning with Communication Theories to Study the Use of Color and Brightness
• Neural Style Transfer for Point Clouds
• Towards Better Object Detection in Scale Variation with Adaptive Feature Selection
• Semi-supervised and Unsupervised Methods for Heart Sounds Classification in Restricted Data Environments
• A Paradigm Shift: Detecting Human Rights Violations Through Web Images
• Evolution of a Web-Scale Near Duplicate Image Detection System
• TopoResNet: A hybrid deep learning architecture and its application to skin lesion classification
• ID-aware Quality for Set-based Person Re-identification
• Architecture Selection via the Trade-off Between Accuracy and Robustness
• Few-Shot Semantic Segmentation Augmented with Image-Level Weak Annotations
• Expression-aware video inpainting for HMD removal in XR applications
• Expectigrad: Fast Stochastic Optimization with Robust Convergence Properties
• Effective Evaluation of Deep Active Learning on Image Classification Tasks
• Saliency-Enhanced Robust Visual Tracking
• Differential Recurrent Neural Network and its Application for Human Activity Recognition
• LAMP: Label Augmented Multimodal Pretraining
• Improved Adversarial Training via Learned Optimizer
• A Singular Value Perspective on Model Robustness
• Uncertainty-Aware Model Adaptation for Unsupervised Cross-Domain Object Detection
• Learning Translation Invariance in CNNs
• Performance Analysis and Characterization of Training Deep Learning Models on Mobile Devices
• A novel method for identifying the deep neural network model with the Serial Number
• swCaffe: a Parallel Framework for Accelerating Deep Learning Applications on Sunway TaihuLight
• Future Urban Scenes Generation Through Vehicles Synthesis
• An Efficient Training Approach for Very Large Scale Face Recognition
• Im2Pencil: Controllable Pencil Illustration from Photographs
• Edge-Cloud Collaborated Object Detection via Difficult-Case Discriminator
• Ladder Loss for Coherent Visual-Semantic Embedding
• Deep Insights into Cognitive Decline: A Survey of Leveraging Non-Intrusive Modalities with Deep Learning Techniques
• Optimal Gradient Checkpoint Search for Arbitrary Computation Graphs
• Bandlimiting Neural Networks Against Adversarial Attacks
• Avoidance of Manual Labeling in Robotic Autonomous Navigation Through Multi-Sensory Semi-Supervised Learning
• Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML
• Deep Video Prediction for Time Series Forecasting
• L-CNN: A Lattice cross-fusion strategy for multistream convolutional neural networks
• Evolutionary Deep Learning to Identify Galaxies in the Zone of Avoidance
• Image memorability predicts social media virality and externally-associated commenting
• NormalGAN: Learning Detailed 3D Human from a Single RGB-D Image
• StampNet: unsupervised multi-class object discovery
• Gradient-Coherent Strong Regularization for Deep Neural Networks
• MIASSR: An Approach for Medical Image Arbitrary Scale Super-Resolution
• Exploit the potential of Multi-column architecture for Crowd Counting
• Modality-specific Cross-modal Similarity Measurement with Recurrent Attention Network
• Generic Tubelet Proposals for Action Localization
• SMART Paths for Latency Reduction in ReRAM Processing-In-Memory Architecture for CNN Inference
• Kinship Verification from Videos using Spatio-Temporal Texture Features and Deep Learning
• Differential Evolution Algorithm based Hyper-Parameters Selection of Convolutional Neural Network for Speech Command Recognition
• A deep learning based multiscale approach to segment cancer area in liver whole slide image
• WeightNet: Revisiting the Design Space of Weight Networks
• A Deep Learning Framework for Lifelong Machine Learning
• A Generative Model for Sampling High-Performance and Diverse Weights for Neural Networks
• Visualizing Adapted Knowledge in Domain Transfer
• Deep Deformable Registration: Enhancing Accuracy by Fully Convolutional Neural Net
• Deep Networks with Fast Retraining
• Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs
• StackMix: A complementary Mix algorithm
• Plexus Convolutional Neural Network (PlexusNet): A novel neural network architecture for histologic image analysis
• EPNAS: Efficient Progressive Neural Architecture Search
• Viraliency: Pooling Local Virality
• Scoring Root Necrosis in Cassava Using Semantic Segmentation
• Deeply-Supervised CNN for Prostate Segmentation
• Image quality assessment for closed-loop computer-assisted lung ultrasound
• daVinciNet: Joint Prediction of Motion and Surgical State in Robot-Assisted Surgery
• A new role for circuit expansion for learning in neural networks
• Attribute analysis with synthetic dataset for person re-identification
• Fisher Task Distance and Its Application in Neural Architecture Search
• An Audio-Video Deep and Transfer Learning Framework for Multimodal Emotion Recognition in the wild
• GraphX-Convolution for Point Cloud Deformation in 2D-to-3D Conversion
• Learning Class Unique Features in Fine-Grained Visual Classification
• DocStruct: A Multimodal Method to Extract Hierarchy Structure in Document for General Form Understanding
• Sem-LSD: A Learning-based Semantic Line Segment Detector
• Brain-inspired reverse adversarial examples
• Bayesian Grasp: Robotic visual stable grasp based on prior tactile knowledge
• Robustness Out of the Box: Compositional Representations Naturally Defend Against Black-Box Patch Attacks
• 3D Face Mask Presentation Attack Detection Based on Intrinsic Image Analysis
• P-ODN: Prototype based Open Deep Network for Open Set Recognition
• deepSELF: An Open Source Deep Self End-to-End Learning Framework
• XEngine: Optimal Tensor Rematerialization for Neural Networks in Heterogeneous Environments
• Towards Efficient Convolutional Neural Network for Domain-Specific Applications on FPGA
• Few-Features Attack to Fool Machine Learning Models through Mask-Based GAN
• Generating Image Sequence from Description with LSTM Conditional GAN
• Fine-Grained Representation Learning and Recognition by Exploiting Hierarchical Semantic Embedding
• End-to-End Time-Lapse Video Synthesis from a Single Outdoor Image
• Multiple Attentional Pyramid Networks for Chinese Herbal Recognition
• Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification
• Discriminative Multi-modality Speech Recognition
• Facial age estimation by deep residual decision making
• Transfer Learning Using Classification Layer Features of CNN
• Analyzing Machine Learning Workloads Using a Detailed GPU Simulator
• The impact of memory on learning sequence-to-sequence tasks
• Action Unit Detection with Region Adaptation, Multi-labeling Learning and Optimal Temporal Fusing
• Attend To Count: Crowd Counting with Adaptive Capacity Multi-scale CNNs
• World-Consistent Video-to-Video Synthesis
• Intrinsic Geometric Vulnerability of High-Dimensional Artificial Intelligence
• Never Mind the Bounding Boxes, Here's the SAND Filters
• Point Proposal Network: Accelerating Point Source Detection Through Deep Learning
• A Semantics-Guided Class Imbalance Learning Model for Zero-Shot Classification
• Assessment of the Reliablity of a Model's Decision by Generalizing Attribution to the Wavelet Domain
• Artificial Intelligence for COVID-19 Detection -- A state-of-the-art review
• Cost-Effective Training of Deep CNNs with Active Model Adaptation
• Extreme Low-Light Imaging with Multi-granulation Cooperative Networks
• Efficient Neural Task Adaptation by Maximum Entropy Initialization
• Correlation Congruence for Knowledge Distillation
• Cascaded Segmentation-Detection Networks for Word-Level Text Spotting
• Improve Generalization and Robustness of Neural Networks via Weight Scale Shifting Invariant Regularizations
• Multi-Level Attentive Convoluntional Neural Network for Crowd Counting
• Efficient Cloth Simulation using Miniature Cloth and Upscaling Deep Neural Networks
• A color temperature-based high-speed decolorization: an empirical approach for tone mapping applications
• Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness
• Multi-Modal Recognition of Worker Activity for Human-Centered Intelligent Manufacturing
• Attention Transfer from Web Images for Video Recognition
• Local Concept Embeddings for Analysis of Concept Distributions in Vision DNN Feature Spaces
• Universal-to-Specific Framework for Complex Action Recognition
• Improved generalization by noise enhancement
• A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of DNNs
• ATRO: Adversarial Training with a Rejection Option
• Heed the Noise in Performance Evaluations in Neural Architecture Search
• ViP-CNN: Visual Phrase Guided Convolutional Neural Network
• Colored Kimia Path24 Dataset: Configurations and Benchmarks with Deep Embeddings
• Attacking Convolutional Neural Network using Differential Evolution
• Multi-scale prediction for robust hand detection and classification
• SRDTI: Deep learning-based super-resolution for diffusion tensor MRI
• Stock2Vec: A Hybrid Deep Learning Framework for Stock Market Prediction with Representation Learning and Temporal Convolutional Network
• Supervised Domain Adaptation using Graph Embedding
• RAPDARTS: Resource-Aware Progressive Differentiable Architecture Search
• EnTri: Ensemble Learning with Tri-level Representations for Explainable Scene Recognition
• On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks
• Sisyphus: A Cautionary Tale of Using Low-Degree Polynomial Activations in Privacy-Preserving Deep Learning
• Low-Latency Human Action Recognition with Weighted Multi-Region Convolutional Neural Network
• Scheduled Differentiable Architecture Search for Visual Recognition
• Recyclable Waste Identification Using CNN Image Recognition and Gaussian Clustering
• Context Augmentation for Convolutional Neural Networks
• Automated Cardiac Resting Phase Detection Targeted on the Right Coronary Artery
• 3D Object Classification via Spherical Projections
• Compression of Deep Neural Networks on the Fly
• TTPP: Temporal Transformer with Progressive Prediction for Efficient Action Anticipation
• Object-aware Feature Aggregation for Video Object Detection
• Deep Learning for Identifying Potential Conceptual Shifts for Co-creative Drawing
• Distribution-sensitive Information Retention for Accurate Binary Neural Network
• Learning Spatiotemporal Features of Ride-sourcing Services with Fusion Convolutional Network
• Fabrik: An Online Collaborative Neural Network Editor
• HyperFusion-Net: Densely Reflective Fusion for Salient Object Detection
• ASAPP-ASR: Multistream CNN and Self-Attentive SRU for SOTA Speech Recognition
• Structured Weight Priors for Convolutional Neural Networks
• Stochastic gradient descent with random learning rate
• CentralNet: a Multilayer Approach for Multimodal Fusion
• A Self-supervised Approach for Adversarial Robustness
• Bounding-box deep calibration for high performance face detection
• The importance of stain normalization in colorectal tissue classification with convolutional networks
• Deep Neural Network Based Real-time Kiwi Fruit Flower Detection in an Orchard Environment
• SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration
• Memory-Based Neighbourhood Embedding for Visual Recognition
• Disrupting Model Training with Adversarial Shortcuts
• Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders
• Winter Road Surface Condition Recognition Using A Pretrained Deep Convolutional Network
• Tracking e-cigarette warning label compliance on Instagram with deep learning
• Face Recognition in Unconstrained Conditions: A Systematic Review
• Artificial intelligence approaches for energy-efficient laser cutting machines
• Hard Pixel Mining for Depth Privileged Semantic Segmentation
• Boosted GAN with Semantically Interpretable Information for Image Inpainting
• Fake Hilsa Fish Detection Using Machine Vision
• GasHisSDB: A New Gastric Histopathology Image Dataset for Computer Aided Diagnosis of Gastric Cancer
• Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System
• WeNet: Weighted Networks for Recurrent Network Architecture Search
• CNN based texture synthesize with Semantic segment
• TricycleGAN: Unsupervised Image Synthesis and Segmentation Based on Shape Priors
• Urban Tree Species Classification Using Aerial Imagery
• Domain-Specific Embedding Network for Zero-Shot Recognition
• Being the center of attention: A Person-Context CNN framework for Personality Recognition
• Multi-view Drone-based Geo-localization via Style and Spatial Alignment
• Learning to simulate complex scenes
• Less is More: Learning from Synthetic Data with Fine-grained Attributes for Person Re-Identification
• Low-Latency Video Semantic Segmentation
• EnK: Encoding time-information in convolution
• Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place Recognition
• Visual Weather Temperature Prediction
• SpotTheFake: An Initial Report on a New CNN-Enhanced Platform for Counterfeit Goods Detection
• Target Aware Network Adaptation for Efficient Representation Learning
• Deep learning at scale for subgrid modeling in turbulent flows
• Identifying Critical Neurons in ANN Architectures using Mixed Integer Programming
• How Unique Is a Face: An Investigative Study
• Global-Local Transformer for Brain Age Estimation
• BLNet: A Fast Deep Learning Framework for Low-Light Image Enhancement with Noise Removal and Color Restoration
• Transfer learning from language models to image caption generators: Better models may not transfer better
• Enhancing Salient Object Segmentation Through Attention
• Enhancing Reconstruction-Based Out-of-Distribution Detection in Brain MRI with Model and Metric Ensembles
• Meta Adversarial Perturbations
• Improving the Resolution of CNN Feature Maps Efficiently with Multisampling
• Ancient Painting to Natural Image: A New Solution for Painting Processing
• DIFAI: Diverse Facial Inpainting using StyleGAN Inversion
• Analysis of adversarial attacks against CNN-based image forgery detectors
• Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation
• Contradictory Structure Learning for Semi-supervised Domain Adaptation
• Artificial Pupil Dilation for Data Augmentation in Iris Semantic Segmentation
• Fractal Pyramid Networks
• Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function
• Unsupervised Discovery of Actions in Instructional Videos
• AdaptCL: Efficient Collaborative Learning with Dynamic and Adaptive Pruning
• Rethinking the Artificial Neural Networks: A Mesh of Subnets with a Central Mechanism for Storing and Predicting the Data
• InfantNet: A Deep Neural Network for Analyzing Infant Vocalizations
• Visual aesthetic analysis using deep neural network: model and techniques to increase accuracy without transfer learning
• Scenes and Surroundings: Scene Graph Generation using Relation Transformer
• Efficient CNN Building Blocks for Encrypted Data
• Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation
• Learning Concept Taxonomies from Multi-modal Data
• You Only Query Once: Effective Black Box Adversarial Attacks with Minimal Repeated Queries
• Fine-grained Uncertainty Modeling in Neural Networks
• Deeply Activated Salient Region for Instance Search
• Learning with Out-of-Distribution Data for Audio Classification
• Activation Density driven Energy-Efficient Pruning in Training
• Semi-Supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation
• DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided Dietary Assessment
• Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer
• Improved Deep Learning of Object Category using Pose Information
• A Real-time Low-cost Artificial Intelligence System for Autonomous Spraying in Palm Plantations
• Contrast-Oriented Deep Neural Networks for Salient Object Detection
• A Comparison for Patch-level Classification of Deep Learning Methods on Transparent Environmental Microorganism Images: from Convolutional Neural Networks to Visual Transformers
• Keypoint Based Weakly Supervised Human Parsing
• Improving Information Extraction from Images with Learned Semantic Models
• Class balanced underwater object detection dataset generated by class-wise style augmentation
• Geographical Knowledge-driven Representation Learning for Remote Sensing Images
• A Methodological Review of Visual Road Recognition Procedures for Autonomous Driving Applications
• A Joint Model for Multimodal Document Quality Assessment
• Graph-Based Similarity of Neural Network Representations
• Evolving Neural Selection with Adaptive Regularization
• SalSum: Saliency-based Video Summarization using Generative Adversarial Networks
• Precisely Predicting Acute Kidney Injury with Convolutional Neural Network Based on Electronic Health Record Data
• DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection
• Cycle-Consistent Inverse GAN for Text-to-Image Synthesis
• SAVERS: SAR ATR with Verification Support Based on Convolutional Neural Network
• Bag of Attributes for Video Event Retrieval
• Inverse Halftoning Through Structure-Aware Deep Convolutional Neural Networks
• Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring Network
• Pruning Filter in Filter
• On Learning Semantic Representations for Million-Scale Free-Hand Sketches
• Fixed smooth convolutional layer for avoiding checkerboard artifacts in CNNs
• Reference Product Search
• Towards a Kernel based Uncertainty Decomposition Framework for Data and Models
• Malaria detection from RBC images using shallow Convolutional Neural Networks
• Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases
• Deep Feature Learning for Wireless Spectrum Data
• Where is my Phone ? Personal Object Retrieval from Egocentric Images
• Unsupervised Deep Context Prediction for Background Foreground Separation
• RDAnet: A Deep Learning Based Approach for Synthetic Aperture Radar Image Formation
• Obstruction level detection of sewer videos using convolutional neural networks
• PointNu-Net: Keypoint-assisted Convolutional Neural Network for Simultaneous Multi-tissue Histology Nuclei Segmentation and Classification
• Network Automatic Pruning: Start NAP and Take a Nap
• Learning how to be robust: Deep polynomial regression
• Fused Deep Features Based Classification Framework for COVID-19 Classification with Optimized MLP
• Mitigating Adversarial Attacks by Distributing Different Copies to Different Users
• Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders
• Unifying Heterogeneous Classifiers with Distillation
• Less-forgetful Learning for Domain Expansion in Deep Neural Networks
• Defining and Quantifying the Emergence of Sparse Concepts in DNNs
• Shared Mobile-Cloud Inference for Collaborative Intelligence
• Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition
• Learning compact generalizable neural representations supporting perceptual grouping
• Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications
• Geometry of Deep Convolutional Networks
• Detecting Adversarial Perturbations with Saliency
• Binarized Neural Architecture Search
• An Asymptotic Analysis of Minibatch-Based Momentum Methods for Linear Regression Models
• Flatness is a False Friend
• Annotation-Free Human Sketch Quality Assessment
• ROAM: Recurrently Optimizing Tracking Model
• Controllable List-wise Ranking for Universal No-reference Image Quality Assessment
• EXPERTNet Exigent Features Preservative Network for Facial Expression Recognition
• MemNet: Memory-Efficiency Guided Neural Architecture Search with Augment-Trim learning
• Data Augmentation and Transfer Learning Approaches Applied to Facial Expressions Recognition
• Learning Depthwise Separable Graph Convolution from Data Manifold
• DCT-Conv: Coding filters in convolutional networks with Discrete Cosine Transform
• Self-Supervised Tuning for Few-Shot Segmentation
• Automatic Data Augmentation by Learning the Deterministic Policy
• Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks
• Stroke-based Character Reconstruction
• Squeeze-Excitation Convolutional Recurrent Neural Networks for Audio-Visual Scene Classification
• Sequence Information Channel Concatenation for Improving Camera Trap Image Burst Classification
• Malware Classification Using Transfer Learning
• Global and Local Consistent Wavelet-domain Age Synthesis
• PriorityCut: Occlusion-guided Regularization for Warp-based Image Animation
• Production-Level Facial Performance Capture Using Deep Convolutional Neural Networks
• HENet:A Highly Efficient Convolutional Neural Networks Optimized for Accuracy, Speed and Storage
• Transformation Invariant Cancerous Tissue Classification Using Spatially Transformed DenseNet
• Deleting object selective units in a fully-connected layer of deep convolutional networks improves classification performance
• OGNet: Salient Object Detection with Output-guided Attention Module
• TailorGAN: Making User-Defined Fashion Designs
• Image-based monitoring of bolt loosening through deep-learning-based integrated detection and tracking
• Resource aware design of a deep convolutional-recurrent neural network for speech recognition through audio-visual sensor fusion
• Latent fingerprint minutia extraction using fully convolutional network
• Incorporating Luminance, Depth and Color Information by a Fusion-based Network for Semantic Segmentation
• COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression
• Deep Cross-media Knowledge Transfer
• Spatial Memory for Context Reasoning in Object Detection
• A Taught-Obesrve-Ask (TOA) Method for Object Detection with Critical Supervision
• Detection Method Based on Automatic Visual Shape Clustering for Pin-Missing Defect in Transmission Lines
• Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning
• Efficient Training of Convolutional Neural Nets on Large Distributed Systems
• Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video
• FMHash: Deep Hashing of In-Air-Handwriting for User Identification
• Distance Guided Channel Weighting for Semantic Segmentation
• Pruning Convolutional Neural Networks for Image Instance Retrieval
• Random Transformation of Image Brightness for Adversarial Attack
• Fully Convolutional Neural Network for Semantic Segmentation of Anatomical Structure and Pathologies in Colour Fundus Images Associated with Diabetic Retinopathy
• Online Exemplar Fine-Tuning for Image-to-Image Translation
• Analysis of Dimensional Influence of Convolutional Neural Networks for Histopathological Cancer Classification
• Lexicon-Free Fingerspelling Recognition from Video: Data, Models, and Signer Adaptation
• SADIH: Semantic-Aware DIscrete Hashing
• DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn
• TRADI: Tracking deep neural network weight distributions for uncertainty estimation
• Parameter Prediction for Unseen Deep Architectures
• Recognizing Video Events with Varying Rhythms
• Iris Style Transfer: Enhancing Iris Recognition with Style Features and Privacy Preservation through Neural Style Transfer
• Deep Fusion Network for Image Completion
• A Dataset and Preliminary Results for Umpire Pose Detection Using SVM Classification of Deep Features
• Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos
• EasyConvPooling: Random Pooling with Easy Convolution for Accelerating Training and Testing
• Towards the Next Generation of Retinal Neuroprosthesis: Visual Computation with Spikes
• Using KL-divergence to focus Deep Visual Explanation
• Exploring Feature Reuse in DenseNet Architectures
• Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video
• Find Rhinos without Finding Rhinos: Active Learning with Multimodal Imagery of South African Rhino Habitats
• ReShader: View-Dependent Highlights for Single Image View-Synthesis
• Pre or Post-Softmax Scores in Gradient-based Attribution Methods, What is Best?
• Neural Networks at a Fraction with Pruned Quaternions
• P2I-NET: Mapping Camera Pose to Image via Adversarial Learning for New View Synthesis in Real Indoor Environments
• A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks
• DietCNN: Multiplication-free Inference for Quantized CNNs
• Regenerating Arbitrary Video Sequences with Distillation Path-Finding
• To Make Yourself Invisible with Adversarial Semantic Contours
• Novel View Synthesis of Humans using Differentiable Rendering
• Leveraging 5G private networks, UAVs and robots to detect and combat broad-leaved dock (Rumex obtusifolius) in feed production
• Evaluating the Stability of Deep Image Quality Assessment With Respect to Image Scaling
• Deep COVID-19 Recognition using Chest X-ray Images: A Comparative Analysis
• A comprehensive survey on computer-aided diagnostic systems in diabetic retinopathy screening
• Video Segmentation Learning Using Cascade Residual Convolutional Neural Network
• Detect, Replace, Refine: Deep Structured Prediction For Pixel Wise Labeling
• A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems
• Online Classroom Evaluation System Based on Multi-Reaction Estimation
• Negative-ResNet: Noisy Ambulatory Electrocardiogram Signal Classification Scheme
• Exploring the Effects of Data Augmentation for Drivable Area Segmentation
• Applied Computer Vision on 2-Dimensional Lung X-Ray Images for Assisted Medical Diagnosis of Pneumonia
• Sparse Factorization Layers for Neural Networks with Limited Supervision
• Concurrent Neural Tree and Data Preprocessing AutoML for Image Classification
• Dual-side Sparse Tensor Core
• Multi-Feature Fusion-based Scene Classification Framework for HSR Images
• Cross-subject Action Unit Detection with Meta Learning and Transformer-based Relation Modeling
• Synthesis of Soundfields through Irregular Loudspeaker Arrays Based on Convolutional Neural Networks
• A Novel Automatic Modulation Classification Scheme Based on Multi-Scale Networks
• Learning Football Body-Orientation as a Matter of Classification
• Prior-Enhanced Few-Shot Segmentation with Meta-Prototypes
• Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks
• The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions
• Learning to Track Object Position through Occlusion
• SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches
• Search for Optimal Systolic Arrays: A Comprehensive Automated Exploration Framework and Lessons Learned
• Accretionary Learning with Deep Neural Networks
• Where to Look: A Unified Attention Model for Visual Recognition with Reinforcement Learning
• Lightweight machine unlearning in neural network
• Action Recognition using Transfer Learning and Majority Voting for CSGO
• Co-advise: Cross Inductive Bias Distillation
• Evaluation of Saliency-based Explainability Method
• Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks
• NomMer: Nominate Synergistic Context in Vision Transformer for Visual Recognition
• Iris Presentation Attack Detection by Attention-based and Deep Pixel-wise Binary Supervision Network
• Positive-unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations
• SIMDRAM: An End-to-End Framework for Bit-Serial SIMD Computing in DRAM
• SOSP: Efficiently Capturing Global Correlations by Second-Order Structured Pruning
• Gated recurrent units and temporal convolutional network for multilabel classification
• E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception
• AdvFilter: Predictive Perturbation-aware Filtering against Adversarial Attack via Multi-domain Learning
• HR-RCNN: Hierarchical Relational Reasoning for Object Detection
• The Tensor Brain: A Unified Theory of Perception, Memory and Semantic Decoding
• Recovering the Unbiased Scene Graphs from the Biased Ones
• Efficient Action Recognition Using Confidence Distillation
• GuavaNet: A deep neural network architecture for automatic sensory evaluation to predict degree of acceptability for Guava by a consumer
• EgoReID: Cross-view Self-Identification and Human Re-identification in Egocentric and Surveillance Videos
• Introducing the structural bases of typicality effects in deep learning
• Solar cell patent classification method based on keyword extraction and deep neural network
• Harnessing Optoelectronic Noises in a Photonic Generative Network
• Reborn Mechanism: Rethinking the Negative Phase Information Flow in Convolutional Neural Network
• Malware Classification Using Deep Boosted Learning
• BCNet: A Deep Convolutional Neural Network for Breast Cancer Grading
• Deep Ranking with Adaptive Margin Triplet Loss
• SA-GD: Improved Gradient Descent Learning Strategy with Simulated Annealing
• Improving Interpretability of Deep Neural Networks in Medical Diagnosis by Investigating the Individual Units
• Latency-Memory Optimized Splitting of Convolution Neural Networks for Resource Constrained Edge Devices
• Follow Your Path: a Progressive Method for Knowledge Distillation
• Real-time Keypoints Detection for Autonomous Recovery of the Unmanned Ground Vehicle
• LDDMM-Face: Large Deformation Diffeomorphic Metric Learning for Flexible and Consistent Face Alignment
• Multilevel Knowledge Transfer for Cross-Domain Object Detection
• Aligning an optical interferometer with beam divergence control and continuous action space
• A Generalizable Model-and-Data Driven Approach for Open-Set RFF Authentication
• Progressive Representative Labeling for Deep Semi-Supervised Learning
• Focusing on Persons: Colorizing Old Images Learning from Modern Historical Movies
• Spectral Unsupervised Domain Adaptation for Visual Recognition
• An Attention Module for Convolutional Neural Networks
• Causal Attention for Unbiased Visual Recognition
• Semi-supervised Learning for Identifying the Likelihood of Agitation in People with Dementia
• BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening
• Metadata Normalization
• Multi-modal Bifurcated Network for Depth Guided Image Relighting
• LiveStyle -- An Application to Transfer Artistic Styles
• Towards A Multi-agent System for Online Hate Speech Detection
• RADDet: Range-Azimuth-Doppler based Radar Object Detection for Dynamic Road Users
• High-Performance FPGA-based Accelerator for Bayesian Neural Networks
• Chord Recognition- Music and Audio Information Retrieval
• Self-Adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images
• Robust Privacy-Preserving Motion Detection and Object Tracking in Encrypted Streaming Video
• MinMaxCAM: Improving object coverage for CAM-basedWeakly Supervised Object Localization
• Audio-Visual Transformer Based Crowd Counting
• An Unsupervised Deep-Learning Method for Fingerprint Classification: the CCAE Network and the Hybrid Clustering Strategy
• DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation
• AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance
• LAI Estimation of Cucumber Crop Based on Improved Fully Convolutional Network
• Exploiting Activation based Gradient Output Sparsity to Accelerate Backpropagation in CNNs
• Tree-constrained Pointer Generator for End-to-end Contextual Speech Recognition
• Adaptive Neural Message Passing for Inductive Learning on Hypergraphs
• Object Localization Through a Single Multiple-Model Convolutional Neural Network with a Specific Training Approach
• LCS: Learning Compressible Subspaces for Adaptive Network Compression at Inference Time
• TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization
• Pay attention! - Robustifying a Deep Visuomotor Policy through Task-Focused Attention
• SoGCN: Second-Order Graph Convolutional Networks
• HDR-cGAN: Single LDR to HDR Image Translation using Conditional GAN
• An efficient optimization based microstructure reconstruction approach with multiple loss functions
• What does LIME really see in images?
• Predictive coding feedback results in perceived illusory contours in a recurrent neural network
• A Layer-wise Adversarial-aware Quantization Optimization for Improving Robustness
• Face sketch to photo translation using generative adversarial networks
• Generalized Resubstitution for Classification Error Estimation
• Spherical Transformer: Adapting Spherical Signal to CNNs
• Automatic Extraction of Road Networks from Satellite Images by using Adaptive Structural Deep Belief Network
• Classification and Segmentation of Pulmonary Lesions in CT Images Using a Combined VGG-XGBoost Method, and an Integrated Fuzzy Clustering-Level Set Technique
• Facial Emotion Recognition: A multi-task approach using deep learning
• Decomposition, Compression, and Synthesis (DCS)-based Video Coding: A Neural Exploration via Resolution-Adaptive Learning
• Inception Convolution with Efficient Dilation Search
• Visually Imperceptible Adversarial Patch Attacks on Digital Images
• CG-Net: Conditional GIS-aware Network for Individual Building Segmentation in VHR SAR Images
• A Visuospatial Dataset for Naturalistic Verb Learning
• ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural Networks
• On Numerosity of Deep Neural Networks
• Ranking Neural Checkpoints
• Unsupervised Metric Relocalization Using Transform Consistency Loss
• DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation
• A Parallel Approach for Real-Time Face Recognition from a Large Database
• Modular Action Concept Grounding in Semantic Video Prediction
• Uncovering the Bias in Facial Expressions
• Aerial Height Prediction and Refinement Neural Networks with Semantic and Geometric Guidance
• From Recognition to Prediction: Analysis of Human Action and Trajectory Prediction in Video
• 3DSNet: Unsupervised Shape-to-Shape 3D Style Transfer
• Improving the generalization of network based relative pose regression: dimension reduction as a regularizer
• A Two-stage Unsupervised Approach for Low light Image Enhancement
• Multi-Stage Fusion for One-Click Segmentation
• A Corpus for English-Japanese Multimodal Neural Machine Translation with Comparable Sentences
• Deep Learning in the Era of Edge Computing: Challenges and Opportunities
• Revisiting Adaptive Convolutions for Video Frame Interpolation
• A Very Compact Embedded CNN Processor Design Based on Logarithmic Computing
• Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings
• A deep learning based interactive sketching system for fashion images design
• Filter Pruning using Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks
• Attention Model Enhanced Network for Classification of Breast Cancer Image
• A Unified Framework for Quantum Supervised Learning
• Improved Soccer Action Spotting using both Audio and Video Streams
• Bayesian Neural Networks with Soft Evidence
• Theoretical Analysis of the Advantage of Deepening Neural Networks
• Video captioning with stacked attention and semantic hard pull
• Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation
• Half-Space Proximal Stochastic Gradient Method for Group-Sparsity Regularized Problem
• SuperOCR: A Conversion from Optical Character Recognition to Image Captioning
• Investigating Emotion-Color Association in Deep Neural Networks
• An Exploration of Target-Conditioned Segmentation Methods for Visual Object Trackers
• Facial Emotion Recognition with Noisy Multi-task Annotations
• Causal inference using deep neural networks
• Directed hypergraph neural network
• Generative and Discriminative Learning for Distorted Image Restoration
• Training Sparse Neural Networks using Compressed Sensing
• Learning Condition Invariant Features for Retrieval-Based Localization from 1M Images
• AdvFoolGen: Creating Persistent Troubles for Deep Classifiers
• NICER: Aesthetic Image Enhancement with Humans in the Loop
• Relational Learning for Skill Preconditions
• Every Corporation Owns Its Image: Corporate Credit Ratings via Convolutional Neural Networks
• Is It a Plausible Colour? UCapsNet for Image Colourisation
• Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation
• Two-phase Pseudo Label Densification for Self-training based Domain Adaptation
• Multi-level Cross-modal Interaction Network for RGB-D Salient Object Detection
• Adaptive Periodic Averaging: A Practical Approach to Reducing Communication in Distributed Learning
• Learn Faster and Forget Slower via Fast and Stable Task Adaptation
• Representation Sharing for Fast Object Detector Search and Beyond
• Domain Adaptive Object Detection via Feature Separation and Alignment
• Bringing Impressionism to Life with Neural Style Transfer in Come Swim
• Sound Event Localization and Detection using Squeeze-Excitation Residual CNNs
• Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability
• Web page classification with Google Image Search results
• Model Optimization for Deep Space Exploration via Simulators and Deep Learning
• Understanding the Error in Evaluating Adversarial Robustness
• Revisiting Street-to-Aerial View Image Geo-localization and Orientation Estimation
• Multiscale Attention Guided Network for COVID-19 Diagnosis Using Chest X-ray Images
• Entropy-Based Uncertainty Calibration for Generalized Zero-Shot Learning
• Enhanced Information Fusion Network for Crowd Counting
• Quantized Adam with Error Feedback
• Multi-objective Search of Robust Neural Architectures against Multiple Types of Adversarial Attacks
• MDInference: Balancing Inference Accuracy and Latency for Mobile Applications
• Region Proposal Network with Graph Prior and IoU-Balance Loss for Landmark Detection in 3D Ultrasound
• Lesion Conditional Image Generation for Improved Segmentation of Intracranial Hemorrhage from CT Images
• Gravity Optimizer: a Kinematic Approach on Optimization in Deep Learning
• SuperNet -- An efficient method of neural networks ensembling
• DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search
• Performance Evaluation of Convolutional Neural Networks for Gait Recognition
• ParasNet: Fast Parasites Detection with Neural Networks
• Neural Network architectures to classify emotions in Indian Classical Music
• Learning the Loss Functions in a Discriminative Space for Video Restoration
• Deep High-Resolution Network for Low Dose X-ray CT Denoising
• Copy and Paste GAN: Face Hallucination from Shaded Thumbnails
• CP-decomposition with Tensor Power Method for Convolutional Neural Networks Compression
• Video-based Hierarchical Species Classification for Longline Fishing Monitoring
• Channel Interaction Networks for Fine-Grained Image Categorization
• Frame Difference-Based Temporal Loss for Video Stylization
• A Generative Model for Hallucinating Diverse Versions of Super Resolution Images
• TIME: A Transparent, Interpretable, Model-Adaptive and Explainable Neural Network for Dynamic Physical Processes
• Translational Equivariance in Kernelizable Attention
• Learning to Structure an Image with Few Colors
• Serial-parallel Multi-Scale Feature Fusion for Anatomy-Oriented Hand Joint Detection
• Efficient Crowd Counting via Structured Knowledge Transfer
• Inter-class Discrepancy Alignment for Face Recognition
• AdeNet: Deep learning architecture that identifies damaged electrical insulators in power lines
• Differentiable Neural Architecture Learning for Efficient Neural Network Design
• Learning from Counting: Leveraging Temporal Classification for Weakly Supervised Object Localization and Detection
• PointHop++: A Lightweight Learning Model on Point Sets for 3D Classification
• Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement Learning
• Impacts of the Numbers of Colors and Shapes on Outlier Detection: from Automated to User Evaluation
• PatchNet -- Short-range Template Matching for Efficient Video Processing
• Intraclass clustering: an implicit learning ability that regularizes DNNs
• Future Frame Prediction for Robot-assisted Surgery
• Coupled Network for Robust Pedestrian Detection with Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling
• RISC-NN: Use RISC, NOT CISC as Neural Network Hardware Infrastructure
• Vulnerability of Appearance-based Gaze Estimation
• Contemplating real-world object classification
• HABNet: Machine Learning, Remote Sensing Based Detection and Prediction of Harmful Algal Blooms
• Texture Hallucination for Large-Factor Painting Super-Resolution
• Oriented Objects as pairs of Middle Lines
• Artificial intelligence for detection and quantification of rust and leaf miner in coffee crop
• Real-time Ultrasound-enhanced Multimodal Imaging of Tongue using 3D Printable Stabilizer System: A Deep Learning Approach
• Defective Convolutional Networks
• Being-ahead: Benchmarking and Exploring Accelerators for Hardware-Efficient AI Deployment
• CHEETAH: An Ultra-Fast, Approximation-Free, and Privacy-Preserved Neural Network Framework based on Joint Obscure Linear and Nonlinear Computations
• Constrained Linear Data-feature Mapping for Image Classification
• A Conceptual Framework for Lifelong Learning
• Dynamic Texture Synthesis by Incorporating Long-range Spatial and Temporal Correlations
• Towards Efficient Convolutional Network Models with Filter Distribution Templates
• SPEC2: SPECtral SParsE CNN Accelerator on FPGAs
• ACE: Adaptive Confusion Energy for Natural World Data Distribution
• Contextualized Keyword Representations for Multi-modal Retinal Image Captioning
• Group Based Deep Shared Feature Learning for Fine-grained Image Classification
• Generative Adversarial Networks And Domain Adaptation For Training Data Independent Image Registration
• Semantic Image Manipulation Using Scene Graphs
• Switched linear projections for neural network interpretability
• Acoustic scene analysis with multi-head attention networks
• Spatio-spectral networks for color-texture analysis
• Learning Actions from Human Demonstration Video for Robotic Manipulation
• When Single Event Upset Meets Deep Neural Networks: Observations, Explorations, and Remedies
• STA: Adversarial Attacks on Siamese Trackers
• Energy Saving Additive Neural Network
• Farmland Parcel Delineation Using Spatio-temporal Convolutional Networks
• Microscopy Image Restoration using Deep Learning on W2S
• Open Compound Domain Adaptation
• Automatic Handgun Detection Alarm in Videos Using Deep Learning
• Binocular Rivalry Oriented Predictive Auto-Encoding Network for Blind Stereoscopic Image Quality Measurement
• Decision-Directed Data Decomposition
• Robust Membership Encoding: Inference Attacks and Copyright Protection for Deep Learning
• Balanced Binary Neural Networks with Gated Residual
• Seismic Shot Gather Noise Localization Using a Multi-Scale Feature-Fusion-Based Neural Network
• MULE: Multimodal Universal Language Embedding
• Smaller Models, Better Generalization
• Temporal Reasoning Graph for Activity Recognition
• High Performance Visual Object Tracking with Unified Convolutional Networks
• Recognizing Dynamic Scenes with Deep Dual Descriptor based on Key Frames and Key Segments
• Multimodal Target Speech Separation with Voice and Face References
• Accelerated CNN Training Through Gradient Approximation
• Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once
• ImageNet-trained deep neural network exhibits illusion-like response to the Scintillating Grid
• A Feature-map Discriminant Perspective for Pruning Deep Neural Networks
• Likelihood Contribution based Multi-scale Architecture for Generative Flows
• Biologically-inspired Salience Affected Artificial Neural Network (SANN)
• Explaining Image Classifiers using Statistical Fault Localization
• A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection
• Ensemble Transfer Learning for Emergency Landing Field Identification on Moderate Resource Heterogeneous Kubernetes Cluster
• Tuning Algorithms and Generators for Efficient Edge Inference
• Efficient Method for Categorize Animals in the Wild
• FA-GANs: Facial Attractiveness Enhancement with Generative Adversarial Networks on Frontal Faces
• Extrapolation for Large-batch Training in Deep Learning
• More Information Supervised Probabilistic Deep Face Embedding Learning
• $(1+\epsilon )$-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets
• Global Semantic Description of Objects based on Prototype Theory
• Interpretable Neural Network Decoupling
• WhoAmI: An Automatic Tool for Visual Recognition of Tiger and Leopard Individuals in the Wild
• Design Considerations for High Impact, Automated Echocardiogram Analysis
• Stable Rank Normalization for Improved Generalization in Neural Networks and GANs
• Non-Parametric Calibration for Classification
• OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images
• PoseGAN: A Pose-to-Image Translation Framework for Camera Localization
• SLV: Spatial Likelihood Voting for Weakly Supervised Object Detection
• Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation
• Intra-clip Aggregation for Video Person Re-identification
• Resisting Crowd Occlusion and Hard Negatives for Pedestrian Detection in the Wild
• Expandable YOLO: 3D Object Detection from RGB-D Images
• Precision-Recall Curves Using Information Divergence Frontiers
• Offset Calibration for Appearance-Based Gaze Estimation via Gaze Decomposition
• Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Learning
• DoPa: A Comprehensive CNN Detection Methodology against Physical Adversarial Attacks
• Visual Question Answering as a Multi-Task Problem
• Bespoke vs. Prêt-à-Porter Lottery Tickets: Exploiting Mask Similarity for Trainable Sub-Network Finding
• EDSL: An Encoder-Decoder Architecture with Symbol-Level Features for Printed Mathematical Expression Recognition
• Breaking Moravec's Paradox: Visual-Based Distribution in Smart Fashion Retail
• Question Guided Modular Routing Networks for Visual Question Answering
• Knowledge Distillation Meets Self-Supervision
• Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks
• Stacked Semantic-Guided Network for Zero-Shot Sketch-Based Image Retrieval
• Partially Supervised Multi-Task Network for Single-View Dietary Assessment
• A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning
• Regional Image Perturbation Reduces $L_p$ Norms of Adversarial Examples While Maintaining Model-to-model Transferability
• Statistical Downscaling of Temperature Distributions from the Synoptic Scale to the Mesoscale Using Deep Convolutional Neural Networks
• Mix and match networks: cross-modal alignment for zero-pair image-to-image translation
• Wasserstein Routed Capsule Networks
• Adversarial Networks for Camera Pose Regression and Refinement
• Low-Rank Discriminative Least Squares Regression for Image Classification
• SADet: Learning An Efficient and Accurate Pedestrian Detector
• Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games
• A Novel Video Salient Object Detection Method via Semi-supervised Motion Quality Perception
• Hard Negative Samples Emphasis Tracker without Anchors
• Deep Learning-based Human Detection for UAVs with Optical and Infrared Cameras: System and Experiments
• A Survey on Large-scale Machine Learning
• Attribute-Aware Attention Model for Fine-grained Representation Learning
• A Smartphone-based System for Real-time Early Childhood Caries Diagnosis
• Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images
• Person image generation with semantic attention network for person re-identification
• DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signal
• Spatial--spectral FFPNet: Attention-Based Pyramid Network for Segmentation and Classification of Remote Sensing Images
• Multi${}^3$Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery
• Crowd Sourcing based Active Learning Approach for Parking Sign Recognition
• Using Ensemble Classifiers to Detect Incipient Anomalies
• Stochastic Model Pruning via Weight Dropping Away and Back
• Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion
• ELASTIC: Improving CNNs with Dynamic Scaling Policies
• WaveletNet: Logarithmic Scale Efficient Convolutional Neural Networks for Edge Devices
• Dense xUnit Networks
• Unsupervised learning with sparse space-and-time autoencoders
• Running Neural Networks on the NIC
• DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks
• Visual-Texual Emotion Analysis with Deep Coupled Video and Danmu Neural Networks
• Predicting the time-evolution of multi-physics systems with sequence-to-sequence models
• KSM: Fast Multiple Task Adaption via Kernel-wise Soft Mask Learning
• Y^2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences
• Short-Term and Long-Term Context Aggregation Network for Video Inpainting
• Margin-Based Regularization and Selective Sampling in Deep Neural Networks
• On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective
• Second-order Neural Network Training Using Complex-step Directional Derivative
• Deep Learning Super-Diffusion in Multiplex Networks
• Eating Habits Discovery in Egocentric Photo-streams
• Vax-a-Net: Training-time Defence Against Adversarial Patch Attacks
• Deriving Visual Semantics from Spatial Context: An Adaptation of LSA and Word2Vec to generate Object and Scene Embeddings from Images
• DeepIR: A Deep Semantics Driven Framework for Image Retargeting
• CNN-based MultiChannel End-to-End Speech Recognition for everyday home environments
• Three Dimensional Convolutional Neural Network Pruning with Regularization-Based Method
• SLGAN: Style- and Latent-guided Generative Adversarial Network for Desirable Makeup Transfer and Removal
• A Selfie is Worth a Thousand Words: Mining Personal Patterns behind User Selfie-posting Behaviours
• Intention Oriented Image Captions with Guiding Objects
• Clear the Fog: Combat Value Assessment in Incomplete Information Games with Convolutional Encoder-Decoders
• PartsNet: A Unified Deep Network for Automotive Engine Precision Parts Defect Detection
• TinyGAN: Distilling BigGAN for Conditional Image Generation
• Ask-n-Learn: Active Learning via Reliable Gradient Representations for Image Classification
• Textually Guided Ranking Network for Attentional Image Retweet Modeling
• UCP: Uniform Channel Pruning for Deep Convolutional Neural Networks Compression and Acceleration
• Learning structure-from-motion from motion
• AFN: Attentional Feedback Network based 3D Terrain Super-Resolution
• Lesion Focused Super-Resolution
• Deep Recurrent Level Set for Segmenting Brain Tumors
• Balancing Specialization, Generalization, and Compression for Detection and Tracking
• Transfer Incremental Learning using Data Augmentation
• Automatic Lumbar Spinal CT Image Segmentation with a Dual Densely Connected U-Net
• Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition
• Few-Shot Abstract Visual Reasoning With Spectral Features
• Exemplar-based synthesis of geology using kernel discrepancies and generative neural networks
• Practical License Plate Recognition in Unconstrained Surveillance Systems with Adversarial Super-Resolution
• Towards a Generic Diver-Following Algorithm: Balancing Robustness and Efficiency in Deep Visual Detection
• Periocular Recognition Using CNN Features Off-the-Shelf
• A Learning Framework for Robust Bin Picking by Customized Grippers
• A Locating Model for Pulmonary Tuberculosis Diagnosis in Radiographs
• Automatic Lyrics Alignment and Transcription in Polyphonic Music: Does Background Music Help?
• SalGaze: Personalizing Gaze Estimation Using Visual Saliency
• StackNet: Stacking Parameters for Continual learning
• Scalar Arithmetic Multiple Data: Customizable Precision for Deep Neural Networks
• Communication Lower Bound in Convolution Accelerators
• Localization-aware Channel Pruning for Object Detection
• UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation
• MobiBits: Multimodal Mobile Biometric Database
• A Variational Feature Encoding Method of 3D Object for Probabilistic Semantic SLAM
• How do Convolutional Neural Networks Learn Design?
• Transfer Learning in 4D for Breast Cancer Diagnosis using Dynamic Contrast-Enhanced Magnetic Resonance Imaging
• The Pitfall of Evaluating Performance on Emerging AI Accelerators
• Automatic Chord Recognition with Higher-Order Harmonic Language Modelling
• Grouping Capsules Based Different Types
• CartoonRenderer: An Instance-based Multi-Style Cartoon Image Translator
• Denoising of 3-D Magnetic Resonance Images Using a Residual Encoder-Decoder Wasserstein Generative Adversarial Network
• DARB: A Density-Aware Regular-Block Pruning for Deep Neural Networks
• HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs
• Spotting insects from satellites: modeling the presence of Culicoides imicola through Deep CNNs
• Visual Dialogue State Tracking for Question Generation
• WSOD with PSNet and Box Regression
• Diverse feature visualizations reveal invariances in early layers of deep neural networks
• Discriminative multi-view Privileged Information learning for image re-ranking
• Question Relevance in Visual Question Answering
• Deep Object Co-segmentation via Spatial-Semantic Network Modulation
• Detecting cutaneous basal cell carcinomas in ultra-high resolution and weakly labelled histopathological images
• Bio-Measurements Estimation and Support in Knee Recovery through Machine Learning
• Video Time: Properties, Encoders and Evaluation
• Compositional Temporal Visual Grounding of Natural Language Event Descriptions
• Uncorrelated Feature Encoding for Faster Image Style Transfer
• Fine-grained Classification of Rowing teams
• Joint Viewpoint and Keypoint Estimation with Real and Synthetic Data
• Neural Networks Weights Quantization: Target None-retraining Ternary (TNT)
• Implicit Generative Modeling of Random Noise during Training for Adversarial Robustness
• Learning Product Codebooks using Vector Quantized Autoencoders for Image Retrieval
• 5D Light Field Synthesis from a Monocular Video
• Face-Cap: Image Captioning using Facial Expression Analysis
• Prostate Segmentation using 2D Bridged U-net
• Deep Architectures and Ensembles for Semantic Video Classification
• Transfer Learning with Human Corneal Tissues: An Analysis of Optimal Cut-Off Layer
• Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition
• Stagioni: Temperature management to enable near-sensor processing for energy-efficient high-fidelity imaging
• Direct Automated Quantitative Measurement of Spine via Cascade Amplifier Regression Network
• Fully Convolutional Network for Melanoma Diagnostics
• Domain Adaptive Generation of Aircraft on Satellite Imagery via Simulated and Unsupervised Learning
• Functional Error Correction for Robust Neural Networks
• Convolutional Dictionary Pair Learning Network for Image Representation Learning
• On the Role of Receptive Field in Unsupervised Sim-to-Real Image Translation
• Batch Normalization in the final layer of generative networks
• An improved cosmological parameter inference scheme motivated by deep learning
• A temporal neural network model for object recognition using a biologically plausible decision making layer
• Massively Parallel Video Networks
• Multi-View Semantic Labeling of 3D Point Clouds for Automated Plant Phenotyping
• Towards Explanation of DNN-based Prediction with Guided Feature Inversion
• 3D Shape Segmentation with Geometric Deep Learning
• Improving the Evaluation of Generative Models with Fuzzy Logic
• Large Batch Training Does Not Need Warmup
• RPC Considered Harmful: Fast Distributed Deep Learning on RDMA
• Fine-Grained Urban Flow Inference
• Impact of ImageNet Model Selection on Domain Adaptation
• Fast 3D cell tracking with wide-field fluorescence microscopy through deep learning
• Fully Associative Patch-based 1-to-N Matcher for Face Recognition
• A Unified Framework of Deep Neural Networks by Capsules
• Hierarchical Transfer Convolutional Neural Networks for Image Classification
• Multi-task Learning of Cascaded CNN for Facial Attribute Classification
• Model Aggregation via Good-Enough Model Spaces
• Homocentric Hypersphere Feature Embedding for Person Re-identification
• Bi-directional Graph Structure Information Model for Multi-Person Pose Estimation
• Ultra Power-Efficient CNN Domain Specific Accelerator with 9.3TOPS/Watt for Mobile and Embedded Applications
• ZoomCount: A Zooming Mechanism for Crowd Counting in Static Images
• CompNet: Neural networks growing via the compact network morphism
• AV1 Video Coding Using Texture Analysis With Convolutional Neural Networks
• Parameter Transfer Unit for Deep Neural Networks
• Detecting Patch Adversarial Attacks with Image Residuals
• Deep Learning in Memristive Nanowire Networks
• Survey of Face Detection on Low-quality Images
• Composable Unpaired Image to Image Translation
• Learning On-Road Visual Control for Self-Driving Vehicles with Auxiliary Tasks
• End-to-End Saliency Mapping via Probability Distribution Prediction
• Hardware-Driven Nonlinear Activation for Stochastic Computing Based Deep Convolutional Neural Networks
• Temporal Hockey Action Recognition via Pose and Optical Flows
• Aligning Across Large Gaps in Time
• Learning Shared Semantic Space with Correlation Alignment for Cross-modal Event Retrieval
• Learning Simple Thresholded Features with Sparse Support Recovery
• Enhancing Sound Texture in CNN-Based Acoustic Scene Classification
• Dynamic Video Segmentation Network
• A witness function based construction of discriminative models using Hermite polynomials
• MoNet: Moments Embedding Network
• Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions
• Guided Image Inpainting: Replacing an Image Region by Pulling Content from Another Image
• Improving Image Captioning by Leveraging Knowledge Graphs
• The Automatic Identification of Butterfly Species
• Line Artist: A Multiple Style Sketch to Painting Synthesis Scheme
• Self-Supervised Visual Representations for Cross-Modal Retrieval
• Human Face Expressions from Images - 2D Face Geometry and 3D Face Local Motion versus Deep Neural Features
• Deep CSI Learning for Gait Biometric Sensing and Recognition
• Yelp Food Identification via Image Feature Extraction and Classification
• Visual Manipulation Relationship Network
• Temporally Identity-Aware SSD with Attentional LSTM
• On the Intrinsic Dimensionality of Image Representations
• Semi-supervised Learning on Graph with an Alternating Diffusion Process
• AuxBlocks: Defense Adversarial Example via Auxiliary Blocks
• Fine-Grained Energy and Performance Profiling framework for Deep Convolutional Neural Networks
• Typed Graph Networks
• Quantifying error contributions of computational steps, algorithms and hyperparameter choices in image classification pipelines
• Real-time Deep Pose Estimation with Geodesic Loss for Image-to-Template Rigid Registration
• Air Quality Measurement Based on Double-Channel Convolutional Neural Network Ensemble Learning
• Stylize Aesthetic QR Code
• LookUP: Vision-Only Real-Time Precise Underground Localisation for Autonomous Mining Vehicles
• Real-time Multiple People Hand Localization in 4D Point Clouds
• Deep Feed-forward Sequential Memory Networks for Speech Synthesis
• Towards Structured Evaluation of Deep Neural Network Supervisors
• Object Detection with Mask-based Feature Encoding
• Projectron -- A Shallow and Interpretable Network for Classifying Medical Images
• Learning Competitive and Discriminative Reconstructions for Anomaly Detection
• CODA: Counting Objects via Scale-aware Adversarial Density Adaption
• Simultaneous Compression and Quantization: A Joint Approach for Efficient Unsupervised Hashing
• StyleRemix: An Interpretable Representation for Neural Image Style Transfer
• Object Proposal with Kernelized Partial Ranking
• Multimodal Deep Network Embedding with Integrated Structure and Attribute Information
• Query-Free Attacks on Industry-Grade Face Recognition Systems under Resource Constraints
• Parametrization of stochastic inputs using generative adversarial networks with application in geology
• Smile detection in the wild based on transfer learning
• Multi-Task Spatiotemporal Neural Networks for Structured Surface Reconstruction
• Graph Autoencoder-Based Unsupervised Feature Selection with Broad and Local Data Structure Preservation
• A CNN-RNN Architecture for Multi-Label Weather Recognition
• Zero-Shot Learning via Latent Space Encoding
• ARCHANGEL: Tamper-proofing Video Archives using Temporal Content Hashes on the Blockchain
• An approach to image denoising using manifold approximation without clean images
• Image Inpainting for High-Resolution Textures using CNN Texture Synthesis
• Attention Monitoring and Hazard Assessment with Bio-Sensing and Vision: Empirical Analysis Utilizing CNNs on the KITTI Dataset
• Drone Path-Following in GPS-Denied Environments using Convolutional Networks
• High Frequency Residual Learning for Multi-Scale Image Classification
• Representation of White- and Black-Box Adversarial Examples in Deep Neural Networks and Humans: A Functional Magnetic Resonance Imaging Study
• Ship classification from overhead imagery using synthetic data and domain adaptation
• Spatially-Adaptive Filter Units for Deep Neural Networks
• Personalized Saliency and its Prediction
• Large Scale Incremental Learning
• Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions
• Hardware-friendly Neural Network Architecture for Neuromorphic Computing
• Detecting Kissing Scenes in a Database of Hollywood Films
• Radial Prediction Layer
• Hand Orientation Estimation in Probability Density Form
• Weakly supervised training of deep convolutional neural networks for overhead pedestrian localization in depth fields
• PoseConvGRU: A Monocular Approach for Visual Ego-motion Estimation by Learning
• A simple and effective postprocessing method for image classification
• Efficient and Scalable View Generation from a Single Image using Fully Convolutional Networks
• Joint Concept Matching based Learning for Zero-Shot Recognition
• Distill-2MD-MTL: Data Distillation based on Multi-Dataset Multi-Domain Multi-Task Frame Work to Solve Face Related Tasksks, Multi Task Learning, Semi-Supervised Learning
• Neuron ranking -- an informed way to condense convolutional neural networks architecture
• Latent Adversarial Defence with Boundary-guided Generation
• Improved Reinforcement Learning through Imitation Learning Pretraining Towards Image-based Autonomous Driving
• Temporal Action Localization by Structured Maximal Sums
• Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation
• Delving Deep into Liver Focal Lesion Detection: A Preliminary Study
• Learning Where to Look: Data-Driven Viewpoint Set Selection for 3D Scenes
• Revisiting IM2GPS in the Deep Learning Era
• Design of a Very Compact CNN Classifier for Online Handwritten Chinese Character Recognition Using DropWeight and Global Pooling
• Ensemble of Part Detectors for Simultaneous Classification and Localization
• Sufficient Markov Decision Processes with Alternating Deep Neural Networks
• Discriminatively Learned Hierarchical Rank Pooling Networks
• EvaluationNet: Can Human Skill be Evaluated by Deep Networks?
• Paying Attention to Descriptions Generated by Image Captioning Models
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• The Unreasonable Effectiveness of Texture Transfer for Single Image Super-resolution
• Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning
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• DeepTEGINN: Deep Learning Based Tools to Extract Graphs from Images of Neural Networks
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• EKO: Adaptive Sampling of Compressed Video Data
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• Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies
• A scalable convolutional neural network for task-specified scenarios via knowledge distillation
• Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition
• Survey of the Detection and Classification of Pulmonary Lesions via CT and X-Ray
• DOOBNet: Deep Object Occlusion Boundary Detection from an Image
• Deep neural networks can be improved using human-derived contextual expectations
• Tandem Blocks in Deep Convolutional Neural Networks
• Taming Reversible Halftoning via Predictive Luminance
• Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings
• End-to-end analysis using image classification
• ADA: A Game-Theoretic Perspective on Data Augmentation for Object Detection
• Multi-channel Deep Supervision for Crowd Counting
• Temporal Knowledge Consistency for Unsupervised Visual Representation Learning
• Co-manipulation of soft-materials estimating deformation from depth images
• Mask Guided Gated Convolution for Amodal Content Completion
• Channel DropBlock: An Improved Regularization Method for Fine-Grained Visual Classification
• COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography
• Beam Search for Learning a Deep Convolutional Neural Network of 3D Shapes
• AE-OT-GAN: Training GANs from data specific latent distribution
• MFPP: Morphological Fragmental Perturbation Pyramid for Black-Box Model Explanations
• APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores
• Transparency guided ensemble convolutional neural networks for stratification of pseudoprogression and true progression of glioblastoma multiform
• StixelNExT: Toward Monocular Low-Weight Perception for Object Segmentation and Free Space Detection
• Sequential anatomy localization in fetal echocardiography videos
• Classifying Textual Data with Pre-trained Vision Models through Transfer Learning and Data Transformations
• Deep learning achieves perfect anomaly detection on 108,308 retinal images including unlearned diseases
• Learning to Catch Piglets in Flight
• A Dataset for Developing and Benchmarking Active Vision
• Continual Learning in Deep Networks: an Analysis of the Last Layer
• Progressive Representation Adaptation for Weakly Supervised Object Localization
• NeuroTrainer: An Intelligent Memory Module for Deep Learning Training
• Segmentation of Drosophila Heart in Optical Coherence Microscopy Images Using Convolutional Neural Networks
• NGEMM: Optimizing GEMM for Deep Learning via Compiler-based Techniques
• Anticipating Daily Intention using On-Wrist Motion Triggered Sensing
• An efficient deep learning hashing neural network for mobile visual search
• Yield Loss Reduction and Test of AI and Deep Learning Accelerators
• Learning an Invariant Hilbert Space for Domain Adaptation
• CircConv: A Structured Convolution with Low Complexity
• ACCO: Automated Causal CNN Scheduling Optimizer for Real-Time Edge Accelerators
• Open-Set Face Identification on Few-Shot Gallery by Fine-Tuning
• Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning
• Robust Collaborative Learning with Noisy Labels
• FaceLiveNet+: A Holistic Networks For Face Authentication Based On Dynamic Multi-task Convolutional Neural Networks
• Online Evolutionary Batch Size Orchestration for Scheduling Deep Learning Workloads in GPU Clusters
• Segmentation-by-Detection: A Cascade Network for Volumetric Medical Image Segmentation
• Femtosecond pulse parameter estimation from photoelectron momenta using machine learning
• Image Patch Matching Using Convolutional Descriptors with Euclidean Distance
• Soft Attention: Does it Actually Help to Learn Social Interactions in Pedestrian Trajectory Prediction?
• Task-driven Semantic Coding via Reinforcement Learning
• Object Boundary Guided Semantic Segmentation
• Efficient Convolutional Neural Network with Binary Quantization Layer
• Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition
• Computer-Assisted Analysis of Biomedical Images
• Understanding and Predicting The Attractiveness of Human Action Shot
• Comprehensive Graph-conditional Similarity Preserving Network for Unsupervised Cross-modal Hashing
• Learning Deep Analysis Dictionaries -- Part II: Convolutional Dictionaries
• Token Shift Transformer for Video Classification
• Classification Under Human Assistance
• Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRI
• Large Hole Image Inpainting With Compress-Decompression Network
• Quaternion Convolutional Neural Networks
• Global Context Networks
• Face Image Reflection Removal
• FLASH: Fast Neural Architecture Search with Hardware Optimization
• The Influence of Dropout on Membership Inference in Differentially Private Models
• ResIST: Layer-Wise Decomposition of ResNets for Distributed Training
• DeepACEv2: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks
• Informative Sample Mining Network for Multi-Domain Image-to-Image Translation
• Fed2: Feature-Aligned Federated Learning
• Linearly Constrained Weights: Reducing Activation Shift for Faster Training of Neural Networks
• Few-shot Learning with Global Relatedness Decoupled-Distillation
• Scene Learning: Deep Convolutional Networks For Wind Power Prediction by Embedding Turbines into Grid Space
• FinEmbedDiff: A Cost-Effective Approach of Classifying Financial Documents with Vector Sampling using Multi-modal Embedding Models
• Topological Data Analysis of Decision Boundaries with Application to Model Selection
• The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures
• Parallel Attention: A Unified Framework for Visual Object Discovery through Dialogs and Queries
• Ellipse Detection and Localization with Applications to Knots in Sawn Lumber Images
• Shapes as Product Differentiation: Neural Network Embedding in the Analysis of Markets for Fonts
• A Controller-Recognizer Framework: How necessary is recognition for control?
• Stochastic Super-Resolution For Gaussian Textures
• Self-Supervised Sketch-to-Image Synthesis
• Test Script Intention Generation for Mobile Application via GUI Image and Code Understanding
• RankSRGAN: Super Resolution Generative Adversarial Networks with Learning to Rank
• Training DNNs in O(1) memory with MEM-DFA using Random Matrices
• CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement
• Self-supervised Learning with Fully Convolutional Networks
• Real-Time Violence Detection Using CNN-LSTM
• GlassNet: Label Decoupling-based Three-stream Neural Network for Robust Image Glass Detection
• Lockout: Sparse Regularization of Neural Networks
• Collaborative Deep Reinforcement Learning for Joint Object Search
• Spectral Algorithm for Low-rank Multitask Regression
• Context-modulation of hippocampal dynamics and deep convolutional networks
• Depth Map Completion by Jointly Exploiting Blurry Color Images and Sparse Depth Maps
• Out of the Black Box: Properties of deep neural networks and their applications
• Boosting ship detection in SAR images with complementary pretraining techniques
• Towards Recognizing New Semantic Concepts in New Visual Domains
• Probabilistic Semantic Segmentation Refinement by Monte Carlo Region Growing
• Design Challenges of Neural Network Acceleration Using Stochastic Computing
• Simplifying Neural Networks using Formal Verification
• Interflow: Aggregating Multi-layer Feature Mappings with Attention Mechanism
• Temporal-Spatial Mapping for Action Recognition
• Semi-Streaming Architecture: A New Design Paradigm for CNN Implementation on FPGAs
• A Weakly-Supervised Depth Estimation Network Using Attention Mechanism
• DVNet: A Memory-Efficient Three-Dimensional CNN for Large-Scale Neurovascular Reconstruction
• DaSGD: Squeezing SGD Parallelization Performance in Distributed Training Using Delayed Averaging
• Speeding-up Age Estimation in Intelligent Demographics System via Network Optimization
• End-to-end Malaria Diagnosis and 3D Cell Rendering with Deep Learning
• Multi-defect microscopy image restoration under limited data conditions
• Localized Motion Artifact Reduction on Brain MRI Using Deep Learning with Effective Data Augmentation Techniques
• Deformable Part Networks
• Real-time Signal Detection for Cyclotron Radiation Emission Spectroscopy Measurements using Antenna Arrays
• A Capsule-unified Framework of Deep Neural Networks for Graphical Programming
• EfficientPose: Efficient Human Pose Estimation with Neural Architecture Search
• Frequency Disentangled Residual Network
• Multi-Mode Inference Engine for Convolutional Neural Networks
• Bi-directional LSTM Recurrent Neural Network for Chinese Word Segmentation
• A Sketch Based 3D Shape Retrieval Approach Based on Efficient Deep Point-to-Subspace Metric Learning
• On The Distribution of Penultimate Activations of Classification Networks
• Prune Your Model Before Distill It
• History Encoding Representation Design for Human Intention Inference
• The Nipple-Areola Complex for Criminal Identification
• Deep learning based supervised semantic segmentation of Electron Cryo-Subtomograms
• Reproduction of Lateral Inhibition-Inspired Convolutional Neural Network for Visual Attention and Saliency Detection
• Generating Unrestricted Adversarial Examples via Three Parameters
• Automatic Diagnosis of Malaria from Thin Blood Smear Images using Deep Convolutional Neural Network with Multi-Resolution Feature Fusion
• Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similarity
• Multi-Density Sketch-to-Image Translation Network
• Conceptual capacity and effective complexity of neural networks
• Fitness Done Right: a Real-time Intelligent Personal Trainer for Exercise Correction
• Inserting Videos into Videos
• Deep-Geometric 6 DoF Localization from a Single Image in Topo-metric Maps
• Structured Directional Pruning via Perturbation Orthogonal Projection
• Towards QoS-Aware and Resource-Efficient GPU Microservices Based on Spatial Multitasking GPUs In Datacenters
• Correlation Propagation Networks for Scene Text Detection
• Rhythmic Representations: Learning Periodic Patterns for Scalable Place Recognition at a Sub-Linear Storage Cost
• Simple and Efficient Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes
• Temporal Dynamic Convolutional Neural Network for Text-Independent Speaker Verification and Phonemetic Analysis
• Leveraging Visual Question Answering for Image-Caption Ranking
• Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings
• RBUE: A ReLU-Based Uncertainty Estimation Method of Deep Neural Networks
• The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics
• Scale Calibrated Training: Improving Generalization of Deep Networks via Scale-Specific Normalization
• Discovery-and-Selection: Towards Optimal Multiple Instance Learning for Weakly Supervised Object Detection
• Semantic Segmentation via Highly Fused Convolutional Network with Multiple Soft Cost Functions
• Fashion-Guided Adversarial Attack on Person Segmentation
• Earth-Like: An education & outreach tool for exploring the diversity of planets like our own
• Enhancing Multi-Robot Perception via Learned Data Association
• Optical deep learning nano-profilometry
• A Method for Restoring the Training Set Distribution in an Image Classifier
• Deep Saliency with Encoded Low level Distance Map and High Level Features
• Towards end-to-end optimisation of functional image analysis pipelines
• Estimation of mitral valve hinge point coordinates -- deep neural net for echocardiogram segmentation
• A Deeper Look at 3D Shape Classifiers
• The Effect of Data Ordering in Image Classification
• Deep Asymmetric Networks with a Set of Node-wise Variant Activation Functions
• ProMask: Probability Mask for Skeleton Detection
• Iterative Teaching by Label Synthesis
• EnKCF: Ensemble of Kernelized Correlation Filters for High-Speed Object Tracking
• Novel digital tissue phenotypic signatures of distant metastasis in colorectal cancer
• A Multi-Scale Framework for Out-of-Distribution Detection in Dermoscopic Images
• Towards Learning an Unbiased Classifier from Biased Data via Conditional Adversarial Debiasing
• Deep Octonion Networks
• Weakly Supervised Object Detection with Pointwise Mutual Information
• Deep Learning for Prostate Pathology
• Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation
• Deep Neural Networks In Fully Connected CRF For Image Labeling With Social Network Metadata
• ALET (Automated Labeling of Equipment and Tools): A Dataset, a Baseline and a Usecase for Tool Detection in the Wild
• Fusion of Camera Model and Source Device Specific Forensic Methods for Improved Tamper Detection
• Chair Segments: A Compact Benchmark for the Study of Object Segmentation
• Biologically Inspired Visual System Architecture for Object Recognition in Autonomous Systems
• Representation Quality Of Neural Networks Links To Adversarial Attacks and Defences
• Using Image Fairness Representations in Diversity-Based Re-ranking for Recommendations
• Coupled Recurrent Network (CRN)
• Personalizing Pre-trained Models
• One Weight Bitwidth to Rule Them All
• Efficient Model Performance Estimation via Feature Histories
• MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer
• A comparison of deep machine learning algorithms in COVID-19 disease diagnosis
• Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation
• Better Exploiting OS-CNNs for Better Event Recognition in Images
• A Blast From the Past: Personalizing Predictions of Video-Induced Emotions using Personal Memories as Context
• Model Agnostic Combination for Ensemble Learning
• Exploiting "Quantum-like Interference" in Decision Fusion for Ranking Multimodal Documents
• Cross-Database Micro-Expression Recognition: A Benchmark
• ComPACT: ACT+Planck galaxy cluster catalogue
• Selective Particle Attention: Visual Feature-Based Attention in Deep Reinforcement Learning
• AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition
• Channel-Directed Gradients for Optimization of Convolutional Neural Networks
• Unified Signal Compression Using Generative Adversarial Networks
• High-Level Perceptual Similarity is Enabled by Learning Diverse Tasks
• Explanation of Reinforcement Learning Model in Dynamic Multi-Agent System
• Social Cybersecurity Chapter 13: Casestudy with COVID-19 Pandemic
• Distributed Map Classification using Local Observations
• Deep Multi-Scale Features Learning for Distorted Image Quality Assessment
• DeepSIC: Deep Semantic Image Compression
• AIPerf: Automated machine learning as an AI-HPC benchmark
• Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization
• Pattern-Guided Integrated Gradients
• On the Intrinsic Differential Privacy of Bagging
• Tackling Early Sparse Gradients in Softmax Activation Using Leaky Squared Euclidean Distance
• Reconstruction Loss Minimized FCN for Single Image Dehazing
• Automatic Image Stylization Using Deep Fully Convolutional Networks
• Convolutional Channel Features
• Overcoming Missing and Incomplete Modalities with Generative Adversarial Networks for Building Footprint Segmentation
• Neural Networks for Learning Counterfactual G-Invariances from Single Environments
• Classification of sparsely labeled spatio-temporal data through semi-supervised adversarial learning
• EnsNet: Ensconce Text in the Wild
• Dance Dance Generation: Motion Transfer for Internet Videos
• Multi-vision Attention Networks for On-line Red Jujube Grading
• Learning to generate filters for convolutional neural networks
• Saliency Driven Perceptual Image Compression
• Point Adversarial Self Mining: A Simple Method for Facial Expression Recognition
• Defending Adversarial Attacks via Semantic Feature Manipulation
• Few-Shot Website Fingerprinting Attack
• Efficient architecture for deep neural networks with heterogeneous sensitivity
• Conditional Adversarial Camera Model Anonymization
• On the Sensory Commutativity of Action Sequences for Embodied Agents
• Learning a Unified Embedding for Visual Search at Pinterest
• Deep Knowledge Tracing with Learning Curves
• Computational efficient deep neural network with difference attention maps for facial action unit detection
• Robust Handwriting Recognition with Limited and Noisy Data
• Spherical Interpolated Convolutional Network with Distance-Feature Density for 3D Semantic Segmentation of Point Clouds
• A Two-stage Deep Network for High Dynamic Range Image Reconstruction
• Single-View Food Portion Estimation: Learning Image-to-Energy Mappings Using Generative Adversarial Networks
• SeqDialN: Sequential Visual Dialog Networks in Joint Visual-Linguistic Representation Space
• Fine-grained Classification using Heterogeneous Web Data and Auxiliary Categories
• Towards End-to-end Car License Plate Location and Recognition in Unconstrained Scenarios
• Label distribution based facial attractiveness computation by deep residual learning
• Neural Models of the Psychosemantics of `Most'
• Emergence of Writing Systems Through Multi-Agent Cooperation
• RPCL: A Framework for Improving Cross-Domain Detection with Auxiliary Tasks
• Arithmetic addition of two integers by deep image classification networks: experiments to quantify their autonomous reasoning ability
• Distribution Discrepancy Maximization for Image Privacy Preserving
• A Learning-based Method for Online Adjustment of C-arm Cone-Beam CT Source Trajectories for Artifact Avoidance
• StressNet: Detecting Stress in Thermal Videos
• Composite Binary Decomposition Networks
• Light Field Saliency Detection with Deep Convolutional Networks
• Training of mixed-signal optical convolutional neural network with reduced quantization level
• Learning scale-variant and scale-invariant features for deep image classification
• Computer Vision and Metrics Learning for Hypothesis Testing: An Application of Q-Q Plot for Normality Test
• DANCE: Enhancing saliency maps using decoys
• A Trace-restricted Kronecker-Factored Approximation to Natural Gradient
• DeepGIN: Deep Generative Inpainting Network for Extreme Image Inpainting
• Hey Human, If your Facial Emotions are Uncertain, You Should Use Bayesian Neural Networks!
• Automating Image Analysis by Annotating Landmarks with Deep Neural Networks
• HASI: Hardware-Accelerated Stochastic Inference, A Defense Against Adversarial Machine Learning Attacks
• Separating the Effects of Batch Normalization on CNN Training Speed and Stability Using Classical Adaptive Filter Theory
• TraceCaps: A Capsule-based Neural Network for Semantic Segmentation
• Adversarial Learning of Label Dependency: A Novel Framework for Multi-class Classification
• Deep Learning Estimation of Absorbed Dose for Nuclear Medicine Diagnostics
• Reconstructed spatial receptive field structures by reverse correlation technique explains the visual feature selectivity of units in deep convolutional neural networks
• CRL: Class Representative Learning for Image Classification
• Facial Attribute Capsules for Noise Face Super Resolution
• DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction using Aerial Images and Trajectories
• EigenEmo: Spectral Utterance Representation Using Dynamic Mode Decomposition for Speech Emotion Classification
• Describing Semantic Representations of Brain Activity Evoked by Visual Stimuli
• Let's See Clearly: Contaminant Artifact Removal for Moving Cameras
• Feedback Attention for Cell Image Segmentation
• Block Belief Propagation for Parameter Learning in Markov Random Fields
• Zero-Shot Learning with Multi-Battery Factor Analysis
• Feature Selection Convolutional Neural Networks for Visual Tracking
• Enabling Image Recognition on Constrained Devices Using Neural Network Pruning and a CycleGAN
• Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks
• ExGate: Externally Controlled Gating for Feature-based Attention in Artificial Neural Networks
• Macrocanonical Models for Texture Synthesis
• Multi-view Laplacian Eigenmaps Based on Bag-of-Neighbors For RGBD Human Emotion Recognition
• Enhanced Image Classification With Data Augmentation Using Position Coordinates
• Emotion Profile Refinery for Speech Emotion Classification
• Robust and Information-theoretically Safe Bias Classifier against Adversarial Attacks
• Median Binary-Connect Method and a Binary Convolutional Neural Nework for Word Recognition
• Learning to Recognize Objects by Retaining other Factors of Variation
• A Self Validation Network for Object-Level Human Attention Estimation
• Cascade Attentive Dropout for Weakly Supervised Object Detection
• Fast-UAP: An Algorithm for Speeding up Universal Adversarial Perturbation Generation with Orientation of Perturbation Vectors
• Lift-the-flap: what, where and when for context reasoning
• Deblurring Processor for Motion-Blurred Faces Based on Generative Adversarial Networks
• Extracting and Learning Fine-Grained Labels from Chest Radiographs
• Visual Attack and Defense on Text
• Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization
• A Molecular-MNIST Dataset for Machine Learning Study on Diffraction Imaging and Microscopy
• Leveraging Domain Knowledge using Machine Learning for Image Compression in Internet-of-Things
• Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases
• Speech Separation Based on Multi-Stage Elaborated Dual-Path Deep BiLSTM with Auxiliary Identity Loss
• Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition
• Automated Weed Detection in Aerial Imagery with Context
• Uncovering Obscured Phonon Dynamics from Powder Inelastic Neutron Scattering using Machine Learning
• Advancing biological super-resolution microscopy through deep learning: a brief review
• An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks
• A Distributionally Robust Optimization Method for Adversarial Multiple Kernel Learning
• On the Accuracy of CRNNs for Line-Based OCR: A Multi-Parameter Evaluation
• Contrastive Weight Regularization for Large Minibatch SGD
• Detecting abnormal events in video using Narrowed Normality Clusters
• Weakly supervised object detection using pseudo-strong labels
• AttentionBoost: Learning What to Attend by Boosting Fully Convolutional Networks
• Digging Deeper into CRNN Model in Chinese Text Images Recognition
• A Transfer Learning Based Active Learning Framework for Brain Tumor Classification
• Pixel-wise Crowd Understanding via Synthetic Data
• ProductNet: a Collection of High-Quality Datasets for Product Representation Learning
• Dual Precision Deep Neural Network
• Convolutional Autoencoders for Lossy Light Field Compression
• Phase Collaborative Network for Two-Phase Medical Image Segmentation
• Application of Computer Vision Techniques for Segregation of PlasticWaste based on Resin Identification Code
• Person Identification with Visual Summary for a Safe Access to a Smart Home
• Stylized Neural Painting
• Automatic Attribute Discovery with Neural Activations
• Enhance Gender and Identity Preservation in Face Aging Simulation for Infants and Toddlers
• Bi-Dimensional Feature Alignment for Cross-Domain Object Detection
• Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images
• Scalable Facial Image Compression with Deep Feature Reconstruction
• Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space
• Recognizing Facial Expressions in the Wild using Multi-Architectural Representations based Ensemble Learning with Distillation
• ActBERT: Learning Global-Local Video-Text Representations
• Adma: A Flexible Loss Function for Neural Networks
• Neural Twins Talk
• GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy
• PointMixer: MLP-Mixer for Point Cloud Understanding
• CrowdCam: Dynamic Region Segmentation
• G-RCN: Optimizing the Gap between Classification and Localization Tasks for Object Detection
• Adversarial robustness via stochastic regularization of neural activation sensitivity
• A multi-stage deep learning based algorithm for multiscale modelreduction
• Learning Instance-Aware Object Detection Using Determinantal Point Processes
• ESFNet: Efficient Network for Building Extraction from High-Resolution Aerial Images
• FOSS: Multi-Person Age Estimation with Focusing on Objects and Still Seeing Surroundings
• Fisher Discriminative Least Squares Regression for Image Classification
• Towards Real-Time Advancement of Underwater Visual Quality with GAN
• Deep Learning At Scale and At Ease
• Non-Markov Policies to Reduce Sequential Failures in Robot Bin Picking
• A mixed signal architecture for convolutional neural networks
• Deep Learning Based Decision Support for Medicine -- A Case Study on Skin Cancer Diagnosis
• Towards Accurate and High-Speed Spiking Neuromorphic Systems with Data Quantization-Aware Deep Networks
• Automatic Image Labelling at Pixel Level
• Variational Bayesian Dropout with a Hierarchical Prior
• Latent Variable Algorithms for Multimodal Learning and Sensor Fusion
• DLFusion: An Auto-Tuning Compiler for Layer Fusion on Deep Neural Network Accelerator
• Learning Actor Relation Graphs for Group Activity Recognition
• H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning
• A General Framework for Edited Video and Raw Video Summarization
• Deep Stacked Stochastic Configuration Networks for Lifelong Learning of Non-Stationary Data Streams
• Visual Explanation for Identification of the Brain Bases for Dyslexia on fMRI Data
• Adversarial Soft-detection-based Aggregation Network for Image Retrieval
• LEED: Label-Free Expression Editing via Disentanglement
• A data-driven proxy to Stoke's flow in porous media
• A novel framework employing deep multi-attention channels network for the autonomous detection of metastasizing cells through fluorescence microscopy
• Deep Extreme Feature Extraction: New MVA Method for Searching Particles in High Energy Physics
• Social Behavioral Phenotyping of Drosophila with a2D-3D Hybrid CNN Framework
• Mapping Motor Cortex Stimulation to Muscle Responses: A Deep Neural Network Modeling Approach
• Multi-scale Interactive Network for Salient Object Detection
• MeshMVS: Multi-View Stereo Guided Mesh Reconstruction
• CCCNet: An Attention Based Deep Learning Framework for Categorized Crowd Counting
• BEAN: Interpretable Representation Learning with Biologically-Enhanced Artificial Neuronal Assembly Regularization
• Peak Alignment of Gas Chromatography-Mass Spectrometry Data with Deep Learning
• PanoDR: Spherical Panorama Diminished Reality for Indoor Scenes
• Painting Outside as Inside: Edge Guided Image Outpainting via Bidirectional Rearrangement with Progressive Step Learning
• Hardware Acceleration of Monte-Carlo Sampling for Energy Efficient Robust Robot Manipulation
• To believe or not to believe: Validating explanation fidelity for dynamic malware analysis
• Deep Learning-based Low-dose Tomography Reconstruction with Hybrid-dose Measurements
• TCLNet: Learning to Locate Typhoon Center Using Deep Neural Network
• Assembling Semantically-Disentangled Representations for Predictive-Generative Models via Adaptation from Synthetic Domain
• A Method for Arbitrary Instance Style Transfer
• Minimizing Area and Energy of Deep Learning Hardware Design Using Collective Low Precision and Structured Compression
• Improving Network Slimming with Nonconvex Regularization
• PortraitGAN for Flexible Portrait Manipulation
• Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection
• FDNAS: Improving Data Privacy and Model Diversity in AutoML
• A Miniaturized Semantic Segmentation Method for Remote Sensing Image
• Locality Guided Neural Networks for Explainable Artificial Intelligence
• Contrastive Video Representation Learning via Adversarial Perturbations
• Explanation and Use of Uncertainty Quantified by Bayesian Neural Network Classifiers for Breast Histopathology Images
• Transfer Learning in Visual and Relational Reasoning
• Lets Play Music: Audio-driven Performance Video Generation
• Tensor-based Intrinsic Subspace Representation Learning for Multi-view Clustering
• Hierarchy-Dependent Cross-Platform Multi-View Feature Learning for Venue Category Prediction
• Generalised Zero-Shot Learning with a Classifier Ensemble over Multi-Modal Embedding Spaces
• Generating Adversarial Inputs Using A Black-box Differential Technique
• Detecting Electric Devices in 3D Images of Bags
• Learning to Segment Anatomical Structures Accurately from One Exemplar
• Machine Learning for Protein Function
• PatentNet: A Large-Scale Incomplete Multiview, Multimodal, Multilabel Industrial Goods Image Database
• Automated X-ray Image Analysis for Cargo Security: Critical Review and Future Promise
• TridentAdapt: Learning Domain-invariance via Source-Target Confrontation and Self-induced Cross-domain Augmentation
• Pulmonary embolism identification in computerized tomography pulmonary angiography scans with deep learning technologies in COVID-19 patients
• Input Aggregated Network for Face Video Representation
• The FaceChannelS: Strike of the Sequences for the AffWild 2 Challenge
• Learning Discriminative Representations for Fine-Grained Diabetic Retinopathy Grading
• Improving Lesion Detection by exploring bias on Skin Lesion dataset
• Multi-Path Region-Based Convolutional Neural Network for Accurate Detection of Unconstrained "Hard Faces"
• A joint separation-classification model for sound event detection of weakly labelled data
• Hashing in the Zero Shot Framework with Domain Adaptation
• Using Capsule Neural Network to predict Tuberculosis in lens-free microscopic images
• One Neuron to Fool Them All
• RRNet: Repetition-Reduction Network for Energy Efficient Decoder of Depth Estimation
• Visualizing Color-wise Saliency of Black-Box Image Classification Models
• Predicting Ground-Level Scene Layout from Aerial Imagery
• Downscaling Attack and Defense: Turning What You See Back Into What You Get
• Convolution in Convolution for Network in Network
• Automatic Mouse Embryo Brain Ventricle & Body Segmentation and Mutant Classification From Ultrasound Data Using Deep Learning
• Attention Driven Person Re-identification
• Image Matters: Scalable Detection of Offensive and Non-Compliant Content / Logo in Product Images
• Towards in-store multi-person tracking using head detection and track heatmaps
• Simulating CRF with CNN for CNN
• Does Haze Removal Help CNN-based Image Classification?
• Distribution Networks for Open Set Learning
• Rapid Identification of X-ray Diffraction Spectra Based on Very Limited Data by Interpretable Convolutional Neural Networks
• Entropy-Based Modeling for Estimating Soft Errors Impact on Binarized Neural Network Inference
• Deep Within-Class Covariance Analysis for Robust Audio Representation Learning
• Optical Character Recognition (OCR) for Telugu: Database, Algorithm and Application
• Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models
• Towards Transparent Application of Machine Learning in Video Processing
• Mitigate Parasitic Resistance in Resistive Crossbar-based Convolutional Neural Networks
• Multi-scale discriminative Region Discovery for Weakly-Supervised Object Localization
• Identification of images of COVID-19 from Chest Computed Tomography (CT) images using Deep learning: Comparing COGNEX VisionPro Deep Learning 1.0 Software with Open Source Convolutional Neural Networks
• In-field grape berries counting for yield estimation using dilated CNNs
• Enhance Diffusion to Improve Robust Generalization
• Hadamard Matrix Guided Online Hashing
• Impact of Benign Modifications on Discriminative Performance of Deepfake Detectors
• ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification
• Short-time deep-learning based source separation for speech enhancement in reverberant environments with beamforming
• Contextual Memory Trees
• D-PCN: Parallel Convolutional Networks for Image Recognition via a Discriminator
• Adversarial Learning for Image Forensics Deep Matching with Atrous Convolution
• Shape-aware Generative Adversarial Networks for Attribute Transfer
• Implicit Subspace Prior Learning for Dual-Blind Face Restoration
• Rethinking Breiman's Dilemma in Neural Networks: Phase Transitions of Margin Dynamics
• Every Filter Extracts A Specific Texture In Convolutional Neural Networks
• Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization
• Seeing Colors: Learning Semantic Text Encoding for Classification
• Deep Exemplar Networks for VQA and VQG
• Bengali Handwritten Grapheme Classification: Deep Learning Approach
• SizeNet: Object Recognition via Object Real Size-based Convolutional Networks
• Increased-Range Unsupervised Monocular Depth Estimation
• Deep Reinforcement Learning with Mixed Convolutional Network
• NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks
• Dual Reconstruction with Densely Connected Residual Network for Single Image Super-Resolution
• Sketch-a-Classifier: Sketch-based Photo Classifier Generation
• Solar Power Plant Detection on Multi-Spectral Satellite Imagery using Weakly-Supervised CNN with Feedback Features and m-PCNN Fusion
• Deep image representations using caption generators
• NegDL: Privacy-Preserving Deep Learning Based on Negative Database
• Optimizing Memory Efficiency for Convolution Kernels on Kepler GPUs
• HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise
• Discovering Visual Concept Structure with Sparse and Incomplete Tags
• Energy Reconstruction of Non-fiducial Electron-Positron Events in the DAMPE Experiment Using Convolutional Neural Networks
• Superpixel-based Semantic Segmentation Trained by Statistical Process Control
• Generalizing Neural Networks by Reflecting Deviating Data in Production
• D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution
• Indicative Image Retrieval: Turning Blackbox Learning into Grey
• Contrastive Forward-Forward: A Training Algorithm of Vision Transformer
• Deep Learning for the Approximation of a Shape Functional
• Enhance Feature Discrimination for Unsupervised Hashing
• Efficient Modelling Across Time of Human Actions and Interactions
• Automated airway segmentation by learning graphical structure
• Turning old models fashion again: Recycling classical CNN networks using the Lattice Transformation
• Deep Diagnostics: Applying Convolutional Neural Networks for Vessels Defects Detection
• Multi-View Surveillance Video Summarization via Joint Embedding and Sparse Optimization
• Partial to Whole Knowledge Distillation: Progressive Distilling Decomposed Knowledge Boosts Student Better
• VP-GO: a "light" action-conditioned visual prediction model
• Under the Skin of Foundation NFT Auctions
• Classification of COVID-19 from CXR Images in a 15-class Scenario: an Attempt to Avoid Bias in the System
• Contributions to Large Scale Bayesian Inference and Adversarial Machine Learning
• On the Fairness of Swarm Learning in Skin Lesion Classification
• Detecting Harmful Memes and Their Targets
• Coupled Support Vector Machines for Supervised Domain Adaptation
• Fine-Grained Categorization via CNN-Based Automatic Extraction and Integration of Object-Level and Part-Level Features
• A Useful Motif for Flexible Task Learning in an Embodied Two-Dimensional Visual Environment
• Multi-Cue Adaptive Emotion Recognition Network
• A Benchmark Comparison of Visual Place Recognition Techniques for Resource-Constrained Embedded Platforms
• CS591 Report: Application of siamesa network in 2D transformation
• Multiple VLAD encoding of CNNs for image classification
• Recurrent Models for Situation Recognition
• Extreme Rotation Estimation using Dense Correlation Volumes
• Ownership and Creativity in Generative Models
• One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking
• Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection
• Improving Weakly-supervised Object Localization via Causal Intervention
• MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets
• Training Deep Neural Networks via Branch-and-Bound
• RGB-D Salient Object Detection Based on Discriminative Cross-modal Transfer Learning
• Landmark-Aware and Part-based Ensemble Transfer Learning Network for Facial Expression Recognition from Static images
• A Cascaded Zoom-In Network for Patterned Fabric Defect Detection
• Low-resolution Human Pose Estimation
• Visual resemblance and communicative context constrain the emergence of graphical conventions
• A Machine Learning Framework for Automatic Prediction of Human Semen Motility
• Generating Dataset For Large-scale 3D Facial Emotion Recognition
• Adaptive Proposal Generation Network for Temporal Sentence Localization in Videos
• A Semantic Indexing Structure for Image Retrieval
• Relative Depth Order Estimation Using Multi-scale Densely Connected Convolutional Networks
• Medulloblastoma Tumor Classification using Deep Transfer Learning with Multi-Scale EfficientNets
• Cascade one-vs-rest detection network for fine-grained recognition without part annotations
• Reconstructing and grounding narrated instructional videos in 3D
• An Effective Training Method For Deep Convolutional Neural Network
• Progress Estimation and Phase Detection for Sequential Processes
• FA-GAN: Feature-Aware GAN for Text to Image Synthesis
• Explore the Knowledge contained in Network Weights to Obtain Sparse Neural Networks
• Pattern Recognition in Vital Signs Using Spectrograms
• Group Feature Learning and Domain Adversarial Neural Network for aMCI Diagnosis System Based on EEG
• Assessing the Impact of Deep Neural Network-based Image Denoising on Binary Signal Detection Tasks
• Using Adaptive Gradient for Texture Learning in Single-View 3D Reconstruction
• 3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations
• Prune the Convolutional Neural Networks with Sparse Shrink
• CrossedWires: A Dataset of Syntactically Equivalent but Semantically Disparate Deep Learning Models
• Reproducibility of "FDA: Fourier Domain Adaptation forSemantic Segmentation
• Classifying States of Cooking Objects Using Convolutional Neural Network
• Privacy and Integrity Preserving Training Using Trusted Hardware
• HLA class I binding prediction via convolutional neural networks
• Non-Parametric Neural Style Transfer
• An Improved Neural Segmentation Method Based on U-NET
• Personalized Video Recommendation Using Rich Contents from Videos
• Deep Learning for Needle Detection in a Cannulation Simulator
• A stepped sampling method for video detection using LSTM
• Learning to Segment Object Candidates via Recursive Neural Networks
• Image2song: Song Retrieval via Bridging Image Content and Lyric Words
• Synthesizing Brain-Network-Inspired Interconnections for Large-Scale Network-on-Chips
• Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods
• One-Shot Clustering for Federated Learning
• Recurrent multiple shared layers in Depth for Neural Machine Translation
• GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight Sparsity
• Domain Adaptation for Real-World Single View 3D Reconstruction
• Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions
• Perceptual Gradient Networks
• Gaussian Filter in CRF Based Semantic Segmentation
• Deep rank-based transposition-invariant distances on musical sequences
• Accent Recognition with Hybrid Phonetic Features
• Learning Dilation Factors for Semantic Segmentation of Street Scenes
• Multimedia Edge Computing
• FFCNN: Fast FPGA based Acceleration for Convolution neural network inference
• OOWL500: Overcoming Dataset Collection Bias in the Wild
• EZCrop: Energy-Zoned Channels for Robust Output Pruning
• Scalable Annotation of Fine-Grained Categories Without Experts
• ReflectNet -- A Generative Adversarial Method for Single Image Reflection Suppression
• Learning to Label Affordances from Simulated and Real Data
• Slim-DP: A Light Communication Data Parallelism for DNN
• CT-Net: Complementary Transfering Network for Garment Transfer with Arbitrary Geometric Changes
• KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation
• Vision-based deep execution monitoring
• Deep Unsupervised Hashing by Distilled Smooth Guidance
• Sifting out the features by pruning: Are convolutional networks the winning lottery ticket of fully connected ones?
• Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion
• Deep Bayesian Image Set Classification: A Defence Approach against Adversarial Attacks
• Fixed-point Factorized Networks
• Anatomical labeling of brain CT scan anomalies using multi-context nearest neighbor relation networks
• Deep Self-Adaptive Hashing for Image Retrieval
• Tensor Normal Training for Deep Learning Models
• A Sparse Coding Interpretation of Neural Networks and Theoretical Implications
• M-ar-K-Fast Independent Component Analysis
• Multi-granularity for knowledge distillation
• FOX-NAS: Fast, On-device and Explainable Neural Architecture Search
• Continual Novelty Detection
• Logit Attenuating Weight Normalization
• Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning
• Estimating the Operating Characteristics of Ensemble Methods
• Using deep neural networks to detect non-analytically defined expert event labels in canoe sprint force sensor signals
• Input Invex Neural Network
• Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation
• Induced Feature Selection by Structured Pruning
• Detailed Avatar Recovery from Single Image
• Learning Robust Video Synchronization without Annotations
• Binarized Weight Error Networks With a Transition Regularization Term
• Neural Twins Talk & Alternative Calculations
• Deep GAN-Based Cross-Spectral Cross-Resolution Iris Recognition
• Constrained Shortest Path Search with Graph Convolutional Neural Networks
• PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning
• An EEG-based Image Annotation System
• Structured DropConnect for Uncertainty Inference in Image Classification
• Multi-domain Collaborative Feature Representation for Robust Visual Object Tracking
• Capturing Localized Image Artifacts through a CNN-based Hyper-image Representation
• Horizontal muon track identification with neural networks in HAWC
• Profile to Frontal Face Recognition in the Wild Using Coupled Conditional GAN
• LightFuse: Lightweight CNN based Dual-exposure Fusion
• Depth Assisted Full Resolution Network for Single Image-based View Synthesis
• Pseudo-positive regularization for deep person re-identification
• Log-Polar Space Convolution for Convolutional Neural Networks
• Adversarial Attacks with Time-Scale Representations
• Vision Recognition using Discriminant Sparse Optimization Learning
• Kill Two Birds with One Stone: Weakly-Supervised Neural Network for Image Annotation and Tag Refinement
• SynFace: Face Recognition with Synthetic Data
• Surgical Instruction Generation with Transformers
• Block-Cyclic Stochastic Coordinate Descent for Deep Neural Networks
• Auditing for Diversity using Representative Examples
• User-centric Composable Services: A New Generation of Personal Data Analytics
• Force-in-domain GAN inversion
• Automated Image Captioning for Rapid Prototyping and Resource Constrained Environments
• AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense
• Blind Image Decomposition
• Scalable Object Detection for Stylized Objects
• Unsupervised Local Discrimination for Medical Images
• What's Wrong with the Bottom-up Methods in Arbitrary-shape Scene Text Detection
• Blending Pruning Criteria for Convolutional Neural Networks
• Lecture video indexing using boosted margin maximizing neural networks
• Exploiting Features with Split-and-Share Module
• Can neural networks count digit frequency?
• Grid Partitioned Attention: Efficient TransformerApproximation with Inductive Bias for High Resolution Detail Generation
• Jitter: Random Jittering Loss Function
• HPTQ: Hardware-Friendly Post Training Quantization
• Learning a Policy for Opportunistic Active Learning
• Per-Pixel Feedback for improving Semantic Segmentation
• Differentiable Architecture Pruning for Transfer Learning
• A contextual analysis of multi-layer perceptron models in classifying hand-written digits and letters: limited resources
• Similarities and differences between stimulus tuning in the inferotemporal visual cortex and convolutional networks
• Sentence-level Online Handwritten Chinese Character Recognition
• FHEDN: A based on context modeling Feature Hierarchy Encoder-Decoder Network for face detection
• Learning a Complete Image Indexing Pipeline
• CompConv: A Compact Convolution Module for Efficient Feature Learning
• Modular Continual Learning in a Unified Visual Environment
• Performance landscape of resource-constrained platforms targeting DNNs
• Mutually-aware Sub-Graphs Differentiable Architecture Search
• Integrating Deep Learning and Augmented Reality to Enhance Situational Awareness in Firefighting Environments
• CNNs are Globally Optimal Given Multi-Layer Support
• Information Elevation Network for Fast Online Action Detection
• Gabor filter incorporated CNN for compression
• Combining Different V1 Brain Model Variants to Improve Robustness to Image Corruptions in CNNs
• Identifying Layers Susceptible to Adversarial Attacks
• Fourier Transform Approximation as an Auxiliary Task for Image Classification
• Depth Not Needed - An Evaluation of RGB-D Feature Encodings for Off-Road Scene Understanding by Convolutional Neural Network
• Reappraising Domain Generalization in Neural Networks
• Quantifying the Suicidal Tendency on Social Media: A Survey
• Instance Map based Image Synthesis with a Denoising Generative Adversarial Network
• Which Samples Should be Learned First: Easy or Hard?
• Semi-supervised Fisher vector network
• Trident Pyramid Networks: The importance of processing at the feature pyramid level for better object detection
• Confidence-Aware Active Feedback for Interactive Instance Search
• On Cross-Layer Alignment for Model Fusion of Heterogeneous Neural Networks
• Dep-$L_0$: Improving $L_0$-based Network Sparsification via Dependency Modeling
• AdjointBackMapV2: Precise Reconstruction of Arbitrary CNN Unit's Activation via Adjoint Operators
• Towards Model-informed Precision Dosing with Expert-in-the-loop Machine Learning
• Smart and Context-Aware System employing Emotions Recognition
• Semi-Supervised Learning for Face Sketch Synthesis in the Wild
• JQF: Optimal JPEG Quantization Table Fusion by Simulated Annealing on Texture Images and Predicting Textures
• Face Sketch Synthesis via Semantic-Driven Generative Adversarial Network
• Mapping, Localization and Path Planning for Image-based Navigation using Visual Features and Map
• Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions
• Zero-Shot Learning with Sparse Attribute Propagation
• Towards Visual Feature Translation
• On segmentation of pectoralis muscle in digital mammograms by means of deep learning
• Handcrafted and Deep Trackers: Recent Visual Object Tracking Approaches and Trends
• Crossing-Domain Generative Adversarial Networks for Unsupervised Multi-Domain Image-to-Image Translation
• DeCoILFNet: Depth Concatenation and Inter-Layer Fusion based ConvNet Accelerator
• Modeling natural language emergence with integral transform theory and reinforcement learning
• Finding Action Tubes with a Sparse-to-Dense Framework
• Think about boundary: Fusing multi-level boundary information for landmark heatmap regression
• Langevin Cooling for Domain Translation
• Graphical Object Detection in Document Images
• Unsupervised and Supervised Structure Learning for Protein Contact Prediction
• Automatic Liver Segmentation with Adversarial Loss and Convolutional Neural Network
• Attending Category Disentangled Global Context for Image Classification
• Privacy-Preserving Image Acquisition Using Trainable Optical Kernel
• Tasks Integrated Networks: Joint Detection and Retrieval for Image Search
• Incorporating Deep Features in the Analysis of Tissue Microarray Images
• Enhancing Perceptual Attributes with Bayesian Style Generation
• An Empirical Study towards Understanding How Deep Convolutional Nets Recognize Falls
• Object Detection based Deep Unsupervised Hashing
• Matching Disparate Image Pairs Using Shape-Aware ConvNets
• Traversing Latent Space using Decision Ferns
• LV-BERT: Exploiting Layer Variety for BERT
• Deep Embedding using Bayesian Risk Minimization with Application to Sketch Recognition
• Towards Robust Neural Networks with Lipschitz Continuity
• Co-Saliency Detection with Co-Attention Fully Convolutional Network
• NeuroTreeNet: A New Method to Explore Horizontal Expansion Network
• Learning Connectivity of Neural Networks from a Topological Perspective
• CFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization
• Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening
• Reliable Identification of Redundant Kernels for Convolutional Neural Network Compression
• Image Cropping under Design Constraints
• Automated dermatoscopic pattern discovery by clustering neural network output for human-computer interaction
• Self-Referenced Deep Learning
• Diagnostic Visualization for Deep Neural Networks Using Stochastic Gradient Langevin Dynamics
• Past, Present, and Future Approaches Using Computer Vision for Animal Re-Identification from Camera Trap Data
• Fast Face Image Synthesis with Minimal Training
• Multiple View Generation and Classification of Mid-wave Infrared Images using Deep Learning
• Fully automated deep learning based segmentation of normal, infarcted and edema regions from multiple cardiac MRI sequences
• Chinese Herbal Recognition based on Competitive Attentional Fusion of Multi-hierarchies Pyramid Features
• Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients
• Tetris: Re-architecting Convolutional Neural Network Computation for Machine Learning Accelerators
• Graph Pattern Loss based Diversified Attention Network for Cross-Modal Retrieval
• A Deep Learning-Based Autonomous RobotManipulator for Sorting Application
• MomentsNet: a simple learning-free method for binary image recognition
• Depth Completion with RGB Prior
• Learning Local Complex Features using Randomized Neural Networks for Texture Analysis
• Vision-Based Autonomous Drone Control using Supervised Learning in Simulation
• Revealing Lung Affections from CTs. A Comparative Analysis of Various Deep Learning Approaches for Dealing with Volumetric Data
• Focusing on the Big Picture: Insights into a Systems Approach to Deep Learning for Satellite Imagery
• RoIFusion: 3D Object Detection from LiDAR and Vision
• Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising
• A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions
• Boosting Retailer Revenue by Generated Optimized Combined Multiple Digital Marketing Campaigns
• Addressing the Invisible: Street Address Generation for Developing Countries with Deep Learning
• Learning Shape Features and Abstractions in 3D Convolutional Neural Networks for Detecting Alzheimer's Disease
• Analyzing Learned Convnet Features with Dirichlet Process Gaussian Mixture Models
• Self-supervised Light Field View Synthesis Using Cycle Consistency
• Learning semantic Image attributes using Image recognition and knowledge graph embeddings
• Shape Adaptor: A Learnable Resizing Module
• Semantic bottleneck for computer vision tasks
• Fine-grained Apparel Classification and Retrieval without rich annotations
• Few-shot Learning with LSSVM Base Learner and Transductive Modules
• DeepKey: Towards End-to-End Physical Key Replication From a Single Photograph
• NuI-Go: Recursive Non-Local Encoder-Decoder Network for Retinal Image Non-Uniform Illumination Removal
• Robust Structured Group Local Sparse Tracker Using Deep Features
• A Multisensory Learning Architecture for Rotation-invariant Object Recognition
• Fast Predictive Image Registration
• Salvage Reusable Samples from Noisy Data for Robust Learning
• Learning to Attend Relevant Regions in Videos from Eye Fixations
• Model-guided Multi-path Knowledge Aggregation for Aerial Saliency Prediction
• Cross-Modal Alignment with Mixture Experts Neural Network for Intral-City Retail Recommendation
• Learning Pruned Structure and Weights Simultaneously from Scratch: an Attention based Approach
• Face Sketch Synthesis with Style Transfer using Pyramid Column Feature
• Improving Resistance to Adversarial Deformations by Regularizing Gradients
• GrateTile: Efficient Sparse Tensor Tiling for CNN Processing
• Gated Res2Net for Multivariate Time Series Analysis
• Towards Purely Unsupervised Disentanglement of Appearance and Shape for Person Images Generation
• Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis
• CommuNety: A Deep Learning System for the Prediction of Cohesive Social Communities
• Contraction Mapping of Feature Norms for Classifier Learning on the Data with Different Quality
• Reconstruction Regularized Deep Metric Learning for Multi-label Image Classification
• Crowding in humans is unlike that in convolutional neural networks
• METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams
• MixFace: Improving Face Verification Focusing on Fine-grained Conditions
• Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications
• Representation Learning from Limited Educational Data with Crowdsourced Labels
• Depth-Adapted CNN for RGB-D cameras
• Region-based semantic segmentation with end-to-end training
• An Overview of Computational Approaches for Interpretation Analysis
• Sorted Pooling in Convolutional Networks for One-shot Learning
• Improving Adversarial Robustness by Encouraging Discriminative Features
• CryptoNite: Revealing the Pitfalls of End-to-End Private Inference at Scale
• NeuroMAX: A High Throughput, Multi-Threaded, Log-Based Accelerator for Convolutional Neural Networks
• Improving the Perceptual Quality of 2D Animation Interpolation
• Learning Error-Driven Curriculum for Crowd Counting
• A Multi-Semantic Metapath Model for Large Scale Heterogeneous Network Representation Learning
• HetSeq: Distributed GPU Training on Heterogeneous Infrastructure
• Joint Learning of Discriminative Low-dimensional Image Representations Based on Dictionary Learning and Two-layer Orthogonal Projections
• Workload-aware Automatic Parallelization for Multi-GPU DNN Training
• Placepedia: Comprehensive Place Understanding with Multi-Faceted Annotations
• SparseMask: Differentiable Connectivity Learning for Dense Image Prediction
• Artificial Intelligence in Surgery: Neural Networks and Deep Learning
• Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning
• Structure Learning of Deep Neural Networks with Q-Learning
• ContourRend: A Segmentation Method for Improving Contours by Rendering
• Ultrafast Video Attention Prediction with Coupled Knowledge Distillation
• Self-grouping Convolutional Neural Networks
• End-to-End Multi-Object Tracking with Global Response Map
• Pedestrian Detection by Exemplar-Guided Contrastive Learning
• PR Product: A Substitute for Inner Product in Neural Networks
• MM-Pyramid: Multimodal Pyramid Attentional Network for Audio-Visual Event Localization and Video Parsing
• Applying recent advances in Visual Question Answering to Record Linkage
• Target-Tailored Source-Transformation for Scene Graph Generation
• Neural Alignment for Face De-pixelization
• Transform-Based Feature Map Compression for CNN Inference
• Deep Patch-based Human Segmentation
• ECML: An Ensemble Cascade Metric Learning Mechanism towards Face Verification
• A Comparative Study of Speaker Role Identification in Air Traffic Communication Using Deep Learning Approaches
• Leveraging Orientation for Weakly Supervised Object Detection with Application to Firearm Localization
• An Ultra Lightweight CNN for Low Resource Circuit Component Recognition
• Unsupervised Monocular Depth Estimation for Night-time Images using Adversarial Domain Feature Adaptation
• C2G-Net: Exploiting Morphological Properties for Image Classification
• Single Shot Video Object Detector
• Automatically Generating Codes from Graphical Screenshots Based on Deep Autocoder
• Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score
• Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters
• Arbitrary Style Transfer using Graph Instance Normalization
• Learning Inward Scaled Hypersphere Embedding: Exploring Projections in Higher Dimensions
• Eliminating Catastrophic Interference with Biased Competition
• Unsupervised Triplet Hashing for Fast Image Retrieval
• Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification
• Data-driven Regularization via Racecar Training for Generalizing Neural Networks
• Penetrating the Fog: the Path to Efficient CNN Models
• Pan-Sharpening with Color-Aware Perceptual Loss and Guided Re-Colorization
• Primary Tumor Origin Classification of Lung Nodules in Spectral CT using Transfer Learning
• FSD: Feature Skyscraper Detector for Stem End and Blossom End of Navel Orange
• Inferring User Gender from User Generated Visual Content on a Deep Semantic Space
• Using Human Psychophysics to Evaluate Generalization in Scene Text Recognition Models
• Pyramidal RoR for Image Classification
• Multi-class Novelty Detection Using Mix-up Technique
• Deep Domain Adaptation for Pavement Crack Detection
• Stochastic Batch Augmentation with An Effective Distilled Dynamic Soft Label Regularizer
• Boundary Distribution Estimation for Precise Object Detection
• Orthogonal Deep Models As Defense Against Black-Box Attacks
• Data-dependent Pruning to find the Winning Lottery Ticket
• Sparse Winograd Convolutional neural networks on small-scale systolic arrays
• Multi-scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets
• TE141K: Artistic Text Benchmark for Text Effect Transfer
• An Adaptive Performance-oriented Scheduler for Static and Dynamic Heterogeneity
• DCNNs: A Transfer Learning comparison of Full Weapon Family threat detection for Dual-Energy X-Ray Baggage Imagery
• Unsupervised Depth Completion from Visual Inertial Odometry
• Adaptive ROI Generation for Video Object Segmentation Using Reinforcement Learning
• Pruning-Aware Merging for Efficient Multitask Inference
• Deep Image Feature Learning with Fuzzy Rules
• Feature Fusion Detector for Semantic Cognition of Remote Sensing
• Global Image Sentiment Transfer
• Detecting Deep Neural Network Defects with Data Flow Analysis
• Re-learning of Child Model for Misclassified data by using KL Divergence in AffectNet: A Database for Facial Expression
• Image Score: How to Select Useful Samples
• Elastic Neural Networks for Classification
• Listening while Speaking and Visualizing: Improving ASR through Multimodal Chain
• Sequential Feature Filtering Classifier
• ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection
• Interpretable Deep Neural Networks for Facial Expression and Dimensional Emotion Recognition in-the-wild
• CRCEN: A Generalized Cost-sensitive Neural Network Approach for Imbalanced Classification
• Deep Multimodal Transfer-Learned Regression in Data-Poor Domains
• Reinforced Bit Allocation under Task-Driven Semantic Distortion Metrics
• Validation and generalization of pixel-wise relevance in convolutional neural networks trained for face classification
• Associated Learning: Decomposing End-to-end Backpropagation based on Auto-encoders and Target Propagation
• CNN-based Semantic Segmentation using Level Set Loss
• Now that I can see, I can improve: Enabling data-driven finetuning of CNNs on the edge
• Part-Level Convolutional Neural Networks for Pedestrian Detection Using Saliency and Boundary Box Alignment
• Dynamic Joint Variational Graph Autoencoders
• Layout-Graph Reasoning for Fashion Landmark Detection
• Improving Multi-label Learning with Missing Labels by Structured Semantic Correlations
• Semantic Example Guided Image-to-Image Translation
• Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout
• Unsupervised Projection Networks for Generative Adversarial Networks
• Recurrent Distillation based Crowd Counting
• Tri-axial Self-Attention for Concurrent Activity Recognition
• A new neural-network-based model for measuring the strength of a pseudorandom binary sequence
• Split-Merge Pooling
• MIML-FCN+: Multi-instance Multi-label Learning via Fully Convolutional Networks with Privileged Information
• ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization
• Cylindrical Transform: 3D Semantic Segmentation of Kidneys With Limited Annotated Images
• Visualizing and Understanding Vision System
• Generative adversarial network-based image super-resolution using perceptual content losses
• Fusing Deep Convolutional Networks for Large Scale Visual Concept Classification
• RTEX: A novel methodology for Ranking, Tagging, and Explanatory diagnostic captioning of radiography exams
• MASON: A Model AgnoStic ObjectNess Framework
• Optimizing generalization on the train set: a novel gradient-based framework to train parameters and hyperparameters simultaneously
• Not Only Look But Observe: Variational Observation Model of Scene-Level 3D Multi-Object Understanding for Probabilistic SLAM
• Sentiment Analysis from Images of Natural Disasters
• Unconstrained Road Marking Recognition with Generative Adversarial Networks
• Shape Constrained Network for Eye Segmentation in the Wild
• Learning Joint Representations of Videos and Sentences with Web Image Search
• PCANet: An energy perspective
• Unique Faces Recognition in Videos
• A Variational Observation Model of 3D Object for Probabilistic Semantic SLAM
• Semi-Automatic Crowdsourcing Tool for Online Food Image Collection and Annotation
• A Hybrid Framework for Matching Printing Design Files to Product Photos
• D-VPnet: A Network for Real-time Dominant Vanishing Point Detection in Natural Scenes
• EEG-based video identification using graph signal modeling and graph convolutional neural network
• Sparsifying and Down-scaling Networks to Increase Robustness to Distortions
• Investigating the generalizability of EEG-based Cognitive Load Estimation Across Visualizations
• Residual Switching Network for Portfolio Optimization
• 3D Human Body Reconstruction from a Single Image via Volumetric Regression
• A Comparative Study of U-Net Topologies for Background Removal in Histopathology Images
• CHD:Consecutive Horizontal Dropout for Human Gait Feature Extraction
• Boosting Scene Character Recognition by Learning Canonical Forms of Glyphs
• Improved Super-Resolution Convolution Neural Network for Large Images
• MVB: A Large-Scale Dataset for Baggage Re-Identification and Merged Siamese Networks
• Benefiting from Multitask Learning to Improve Single Image Super-Resolution
• Hierarchical Feature-Aware Tracking
• Guarded Deep Learning using Scenario-Based Modeling
• Geoseg: A Computer Vision Package for Automatic Building Segmentation and Outline Extraction
• BOBBY2: Buffer Based Robust High-Speed Object Tracking
• Deep Room Recognition Using Inaudible Echos
• Complementary Ensemble Learning
• Incorporating Image Gradients as Secondary Input Associated with Input Image to Improve the Performance of the CNN Model
• Self-Adaptive Network Pruning
• WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming
• A recurrent multi-scale approach to RBG-D Object Recognition
• Image Manipulation with Perceptual Discriminators
• Boosting Mapping Functionality of Neural Networks via Latent Feature Generation based on Reversible Learning
• Deep 3D Pan via adaptive "t-shaped" convolutions with global and local adaptive dilations
• advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns
• Predictive Coding Networks Meet Action Recognition
• Prediction of Electric Multiple Unit Fleet Size Based on Convolutional Neural Network
• Learning Saliency Prediction From Sparse Fixation Pixel Map
• Geometric algorithms for predicting resilience and recovering damage in neural networks
• Scientific Calculator for Designing Trojan Detectors in Neural Networks
• Assisting human experts in the interpretation of their visual process: A case study on assessing copper surface adhesive potency
• ProLFA: Representative Prototype Selection for Local Feature Aggregation
• Circulant Binary Convolutional Networks: Enhancing the Performance of 1-bit DCNNs with Circulant Back Propagation
• Review on Computer Vision in Gastric Cancer: Potential Efficient Tools for Diagnosis
• A Shallow High-Order Parametric Approach to Data Visualization and Compression
• Multimodal Image Outpainting With Regularized Normalized Diversification
• Literature Review: Human Segmentation with Static Camera
• Rediscovering Deep Neural Networks Through Finite-State Distributions
• Multiple resolution residual network for automatic thoracic organs-at-risk segmentation from CT
• Generative Image Inpainting with Submanifold Alignment
• ON-TRAC Consortium End-to-End Speech Translation Systems for the IWSLT 2019 Shared Task
• Human Recognition Using Face in Computed Tomography
• Towards Efficient and Secure Delivery of Data for Training and Inference with Privacy-Preserving
• Dynamic Regularizer with an Informative Prior
• Learning to Train with Synthetic Humans
• Brief Announcement: On the Limits of Parallelizing Convolutional Neural Networks on GPUs
• In-Place Zero-Space Memory Protection for CNN
• Understanding the Importance of Single Directions via Representative Substitution
• Identify the stiffness of DNA via deep learning
• Background-Aware 3D Point Cloud Segmentationwith Dynamic Point Feature Aggregation
• Knee menisci segmentation and relaxometry of 3D ultrashort echo time (UTE) cones MR imaging using attention U-Net with transfer learning
• Convolutional Neural Networks Based Texture Modeling For AV1
• Saliency Detection via Combining Region-Level and Pixel-Level Predictions with CNNs
• Perception-oriented Single Image Super-Resolution via Dual Relativistic Average Generative Adversarial Networks
• Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images
• Adaptive Weight Decay for Deep Neural Networks
• Nested multi-instance classification
• ROI Pooled Correlation Filters for Visual Tracking
• Audio-Visual Embedding for Cross-Modal MusicVideo Retrieval through Supervised Deep CCA
• Adaptive Structural Learning of Deep Belief Network for Medical Examination Data and Its Knowledge Extraction by using C4.5
• Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting
• Convolutional Neural Networks for Aerial Vehicle Detection and Recognition
• Task allocation for decentralized training in heterogeneous environment
• Unconstrained Foreground Object Search
• Feature discriminativity estimation in CNNs for transfer learning
• Neural Task Planning with And-Or Graph Representations
• Delineating Knowledge Domains in the Scientific Literature Using Visual Information
• Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification
• Hard Negative Mining for Metric Learning Based Zero-Shot Classification
• Be Precise or Fuzzy: Learning the Meaning of Cardinals and Quantifiers from Vision
• KL-Divergence-Based Region Proposal Network for Object Detection
• Unsupervised segmentation via semantic-apparent feature fusion
• Are You Tampering With My Data?
• Cross-filter compression for CNN inference acceleration
• A Distribution Similarity Based Regularizer for Learning Bayesian Networks
• Towards Better Generalization: BP-SVRG in Training Deep Neural Networks
• Image Colorization By Capsule Networks
• Evaluation of a Region Proposal Architecture for Multi-task Document Layout Analysis
• Learning eating environments through scene clustering
• RGB-D Individual Segmentation
• EmbNum: Semantic labeling for numerical values with deep metric learning
• W-Cell-Net: Multi-frame Interpolation of Cellular Microscopy Videos
• A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification
• A Dense-Depth Representation for VLAD descriptors in Content-Based Image Retrieval
• Protecting the integrity of the training procedure of neural networks
• Minimum Delay Object Detection From Video
• Scalable Compression of Deep Neural Networks
• Metric-based Regularization and Temporal Ensemble for Multi-task Learning using Heterogeneous Unsupervised Tasks
• Learning Rich Representations For Structured Visual Prediction Tasks
• Playing optical tweezers with deep reinforcement learning: in virtual, physical and augmented environments
• Dropout during inference as a model for neurological degeneration in an image captioning network
• Class-Aware Domain Adaptation for Improving Adversarial Robustness
• Deep Learning Based Vehicle Tracking System Using License Plate Detection And Recognition
• Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment
• Photo style transfer with consistency losses
• Multi-Label Zero-Shot Learning with Transfer-Aware Label Embedding Projection
• Low Power In-Memory Implementation of Ternary Neural Networks with Resistive RAM-Based Synapse
• SchiNet: Automatic Estimation of Symptoms of Schizophrenia from Facial Behaviour Analysis
• Joint-SRVDNet: Joint Super Resolution and Vehicle Detection Network
• Automatic Polyp Segmentation using U-Net-ResNet50
• Towards Model-Agnostic Adversarial Defenses using Adversarially Trained Autoencoders
• Efficient texture retrieval using multiscale local extrema descriptors and covariance embedding
• Caramel: Accelerating Decentralized Distributed Deep Learning with Computation Scheduling
• Spectrum Attention Mechanism for Time Series Classification
• Identification of Cervical Pathology using Adversarial Neural Networks
• Extra Proximal-Gradient Inspired Non-local Network
• Universal Physical Camouflage Attacks on Object Detectors
• Convolutional Neural Networks vs. Deformable Image Registration For Medical Slice Interpolation
• Compact retail shelf segmentation for mobile deployment
• In Defense of LSTMs for Addressing Multiple Instance Learning Problems
• Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features
• SDM-Net: A Simple and Effective Model for Generalized Zero-Shot Learning
• Regression Under Human Assistance
• Adaptive Binary-Ternary Quantization
• Automatic low-bit hybrid quantization of neural networks through meta learning
• PERMDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices
• Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization
• Know2Look: Commonsense Knowledge for Visual Search
• Shift Convolution Network for Stereo Matching
• RGP: Neural Network Pruning through Its Regular Graph Structure
• Adapting Visual Question Answering Models for Enhancing Multimodal Community Q&A Platforms
• Discriminative Video Representation Learning Using Support Vector Classifiers
• Inspect Transfer Learning Architecture with Dilated Convolution
• Video Segment Copy Detection Using Memory Constrained Hierarchical Batch-Normalized LSTM Autoencoder
• Latent Hinge-Minimax Risk Minimization for Inference from a Small Number of Training Samples
• TMA: Tera-MACs/W Neural Hardware Inference Accelerator with a Multiplier-less Massive Parallel Processor
• Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression
• Constrained-size Tensorflow Models for YouTube-8M Video Understanding Challenge
• Locality Constraint Dictionary Learning with Support Vector for Pattern Classification
• Saliency based Semi-supervised Learning for Orbiting Satellite Tracking
• Triplet Loss for Knowledge Distillation
• CPARR: Category-based Proposal Analysis for Referring Relationships
• FusionStitching: Boosting Execution Efficiency of Memory Intensive Computations for DL Workloads
• 3D Ken Burns Effect from a Single Image
• SlimNets: An Exploration of Deep Model Compression and Acceleration
• Accurate Scene Text Detection through Border Semantics Awareness and Bootstrapping
• Adaptive Neuron-wise Discriminant Criterion and Adaptive Center Loss at Hidden Layer for Deep Convolutional Neural Network
• Recommendation or Discrimination?: Quantifying Distribution Parity in Information Retrieval Systems
• Contextual Pyramid Attention Network for Building Segmentation in Aerial Imagery
• $360^o$ Surface Regression with a Hyper-Sphere Loss
• Towards Robust Classification with Image Quality Assessment
• Local Model Feature Transformations
• Towards Efficient and Secure Delivery of Data for Deep Learning with Privacy-Preserving
• BUDA.ART: A Multimodal Content-Based Analysis and Retrieval System for Buddha Statues
• A Novel Unsupervised Post-Processing Calibration Method for DNNS with Robustness to Domain Shift
• MA 3 : Model Agnostic Adversarial Augmentation for Few Shot learning
• Radius Adaptive Convolutional Neural Network
• Cascaded Detail-Preserving Networks for Super-Resolution of Document Images
• Delving into the pixels of adversarial samples
• Visuallly Grounded Generation of Entailments from Premises
• Occluded Pedestrian Detection with Visible IoU and Box Sign Predictor
• Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data
• Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks
• Multimodal Image Synthesis with Conditional Implicit Maximum Likelihood Estimation
• Presentation Attack Detection for Cadaver Iris
• Fast Portrait Segmentation with Highly Light-weight Network
• Deep nested level sets: Fully automated segmentation of cardiac MR images in patients with pulmonary hypertension
• A Geometric Approach to Online Streaming Feature Selection
• Adaptive and Azimuth-Aware Fusion Network of Multimodal Local Features for 3D Object Detection
• Decision Propagation Networks for Image Classification
• Weakly-Supervised Road Affordances Inference and Learning in Scenes without Traffic Signs
• GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal
• Bottom-up Pose Estimation of Multiple Person with Bounding Box Constraint
• Rethinking the Form of Latent States in Image Captioning
• Segmentation Free Object Discovery in Video
• Attend and Rectify: a Gated Attention Mechanism for Fine-Grained Recovery
• On the Flip Side: Identifying Counterexamples in Visual Question Answering
• LucidDream: Controlled Temporally-Consistent DeepDream on Videos
• Multimodal Medical Volume Colorization from 2D Style
• An Adaptive Empirical Bayesian Method for Sparse Deep Learning
• Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio
• Patch Reordering: a Novel Way to Achieve Rotation and Translation Invariance in Convolutional Neural Networks
• A Generalization Theory based on Independent and Task-Identically Distributed Assumption
• Self-Paced Deep Regression Forests for Facial Age Estimation
• Memeify: A Large-Scale Meme Generation System
• Few-Shot Adaptation for Multimedia Semantic Indexing
• Object Specific Deep Learning Feature and Its Application to Face Detection
• Automatic Visual Theme Discovery from Joint Image and Text Corpora
• Biologic and Prognostic Feature Scores from Whole-Slide Histology Images Using Deep Learning
• Self-supervised Knowledge Distillation Using Singular Value Decomposition
• A Deep Convolutional Network for Seismic Shot-Gather Image Quality Classification
• Saliency Map Estimation for Omni-Directional Image Considering Prior Distributions
• Accuracy to Throughput Trade-offs for Reduced Precision Neural Networks on Reconfigurable Logic
• Understanding (Non-)Robust Feature Disentanglement and the Relationship Between Low- and High-Dimensional Adversarial Attacks
• Error-Corrected Margin-Based Deep Cross-Modal Hashing for Facial Image Retrieval
• Attack to Fool and Explain Deep Networks
• GuideBP: Guiding Backpropagation Through Weaker Pathways of Parallel Logits
• Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory Networks
• 3D human pose estimation from depth maps using a deep combination of poses
• Online Hashing with Efficient Updating of Binary Codes
• TrajectoryNet: a new spatio-temporal feature learning network for human motion prediction
• Boosting Network Weight Separability via Feed-Backward Reconstruction
• IB-DRR: Incremental Learning with Information-Back Discrete Representation Replay
• Medusa: A Scalable Interconnect for Many-Port DNN Accelerators and Wide DRAM Controller Interfaces
• Topic-Guided Attention for Image Captioning
• Zero-Shot Recognition via Optimal Transport
• Beyond Universal Person Re-ID Attack
• CoDR: Computation and Data Reuse Aware CNN Accelerator
• Attention to Refine through Multi-Scales for Semantic Segmentation
• Auto Deep Compression by Reinforcement Learning Based Actor-Critic Structure
• Unbiased Image Style Transfer
• Training Deep Neural Networks to Detect Repeatable 2D Features Using Large Amounts of 3D World Capture Data
• Reconsidering CO2 emissions from Computer Vision
• Weakly Supervised Object Localization and Detection: A Survey
• AffectiveNet: Affective-Motion Feature Learningfor Micro Expression Recognition
• Signed Input Regularization
• Large-scale Kernel Methods and Applications to Lifelong Robot Learning
• "You might also like this model": Data Driven Approach for Recommending Deep Learning Models for Unknown Image Datasets
• Self-supervised Learning of 3D Object Understanding by Data Association and Landmark Estimation for Image Sequence
• Track Facial Points in Unconstrained Videos
• IC-Network: Efficient Structure for Convolutional Neural Networks
• A method for detecting text of arbitrary shapes in natural scenes that improves text spotting
• What am I Searching for: Zero-shot Target Identity Inference in Visual Search
• What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance
• Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution
• Periodic Spectral Ergodicity: A Complexity Measure for Deep Neural Networks and Neural Architecture Search
• Robust Deep Neural Networks Inspired by Fuzzy Logic
• Generating meta-learning tasks to evolve parametric loss for classification learning
• ADNet: Temporal Anomaly Detection in Surveillance Videos
• Research Frontiers in Transfer Learning -- a systematic and bibliometric review
• CloudifierNet -- Deep Vision Models for Artificial Image Processing
• CelebHair: A New Large-Scale Dataset for Hairstyle Recommendation based on CelebA
• A deep learning framework for morphologic detail beyond the diffraction limit in infrared spectroscopic imaging
• Deep CTR Prediction in Display Advertising
• G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification
• Black Box Algorithm Selection by Convolutional Neural Network
• The Impact of Activation Sparsity on Overfitting in Convolutional Neural Networks
• Deep Tiling: Texture Tile Synthesis Using a Deep Learning Approach
• ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators
• Selective Deep Convolutional Neural Network for Low Cost Distorted Image Classification
• Familiarity-Based Open-Set Recognition Under Adversarial Attacks
• Meta-Regularization: An Approach to Adaptive Choice of the Learning Rate in Gradient Descent
• Integrating Information Theory and Adversarial Learning for Cross-modal Retrieval
• Research on Optimization Method of Multi-scale Fish Target Fast Detection Network
• Learning to Predict More Accurate Text Instances for Scene Text Detection
• Reinforced Attention for Few-Shot Learning and Beyond
• Creating Robust Deep Neural Networks With Coded Distributed Computing for IoT Systems
• Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD
• SMET: Scenario-based Metamorphic Testing for Autonomous Driving Models
• ViewSynth: Learning Local Features from Depth using View Synthesis
• A transfer-learning approach for lesion detection in endoscopic images from the urinary tract
• Differentiable Projection for Constrained Deep Learning
• Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision
• LI-Net: Large-Pose Identity-Preserving Face Reenactment Network
• Utility in Fashion with implicit feedback
• Pipelined Training with Stale Weights of Deep Convolutional Neural Networks
• Semi-Relaxed Quantization with DropBits: Training Low-Bit Neural Networks via Bit-wise Regularization
• Machine Vision for Improved Human-Robot Cooperation in Adverse Underwater Conditions
• Accurate and efficient video de-fencing using convolutional neural networks and temporal information
• Beyond Categorical Label Representations for Image Classification
• Sparsely Activated Networks: A new method for decomposing and compressing data
• Estimating Bicycle Route Attractivity from Image Data
• Self-Supervised Visibility Learning for Novel View Synthesis
• Learning Mobile CNN Feature Extraction Toward Fast Computation of Visual Object Tracking
• Conditionally Learn to Pay Attention for Sequential Visual Task
• Adaptive Transfer Learning: a simple but effective transfer learning
• DEFRAG: Deep Euclidean Feature Representations through Adaptation on the Grassmann Manifold
• Mining Domain Knowledge: Improved Framework towards Automatically Standardizing Anatomical Structure Nomenclature in Radiotherapy
• Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans
• MoE-SPNet: A Mixture-of-Experts Scene Parsing Network
• Semi-Supervised Domain Adaptation via Selective Pseudo Labeling and Progressive Self-Training
• \emph{cm}SalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial Networks
• Context-Aware Dynamic Feature Extraction for 3D Object Detection in Point Clouds
• In situ TensorView: In situ Visualization of Convolutional Neural Networks
• Diversity Transfer Network for Few-Shot Learning
• Deep Learning Approximation: Zero-Shot Neural Network Speedup
• Spatial Content Alignment For Pose Transfer
• ReMix: Towards Image-to-Image Translation with Limited Data
• Neural Wireframe Renderer: Learning Wireframe to Image Translations
• Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition
• A CNN Cascade for Landmark Guided Semantic Part Segmentation
• DeepFirearm: Learning Discriminative Feature Representation for Fine-grained Firearm Retrieval
• Rethinking Radiology: An Analysis of Different Approaches to BraTS
• An Explainable Adversarial Robustness Metric for Deep Learning Neural Networks
• An Internal Covariate Shift Bounding Algorithm for Deep Neural Networks by Unitizing Layers' Outputs
• Design, Analysis and Application of A Volumetric Convolutional Neural Network
• Attention Incorporate Network: A network can adapt various data size
• Bridging the Visual Gap: Wide-Range Image Blending
• Two-Stage Monte Carlo Denoising with Adaptive Sampling and Kernel Pool
• FONTNET: On-Device Font Understanding and Prediction Pipeline
• Differentiable Network Adaption with Elastic Search Space
• A Comprehensive Comparison between Neural Style Transfer and Universal Style Transfer
• Performance Analysis of Out-of-Distribution Detection on Various Trained Neural Networks
• Iterative Gradient Encoding Network with Feature Co-Occurrence Loss for Single Image Reflection Removal
• A Simple Approach for Zero-Shot Learning based on Triplet Distribution Embeddings
• Deep Model Compression Via Two-Stage Deep Reinforcement Learning
• Disentanglement based Active Learning
• Competing Ratio Loss for Discriminative Multi-class Image Classification
• Effects of annotation granularity in deep learning models for histopathological images
• Agent with Warm Start and Adaptive Dynamic Termination for Plane Localization in 3D Ultrasound
• An Abstraction Model for Semantic Segmentation Algorithms
• Matched sample selection with GANs for mitigating attribute confounding
• Physics-based Scene-level Reasoning for Object Pose Estimation in Clutter
• Image classification and retrieval with random depthwise signed convolutional neural networks
• Multimodal Personal Ear Authentication Using Smartphones
• LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack
• A Common Operating Picture Framework Leveraging Data Fusion and Deep Learning
• Asian Giant Hornet Control based on Image Processing and Biological Dispersal
• Scene Text Recognition With Finer Grid Rectification
• ID-Unet: Iterative Soft and Hard Deformation for View Synthesis
• SafeNet: An Assistive Solution to Assess Incoming Threats for Premises
• Pseudo Supervised Solar Panel Mapping based on Deep Convolutional Networks with Label Correction Strategy in Aerial Images
• Dynamic Error-bounded Lossy Compression (EBLC) to Reduce the Bandwidth Requirement for Real-time Vision-based Pedestrian Safety Applications
• Unsupervised discovery of Interpretable Visual Concepts
• HRFA: High-Resolution Feature-based Attack
• Gram Barcodes for Histopathology Tissue Texture Retrieval
• EffCNet: An Efficient CondenseNet for Image Classification on NXP BlueBox
• Intrinsic Image Transformation via Scale Space Decomposition
• Weakly Supervised Instance Segmentation by Deep Community Learning
• Modular network for high accuracy object detection
• Exploiting Semantics for Face Image Deblurring
• Autonomously and Simultaneously Refining Deep Neural Network Parameters by Generative Adversarial Networks
• Adversarial Incremental Learning
• Attributes in Multiple Facial Images
• Imbalanced data preprocessing techniques utilizing local data characteristics
• Deep Graph Matching under Quadratic Constraint
• Knowledge-based Fully Convolutional Network and Its Application in Segmentation of Lung CT Images
• Deep learning for low-magnitude earthquake detection on a multi-level sensor network
• AI-Supported Assessment of Load Safety
• Pixel-Semantic Revise of Position Learning A One-Stage Object Detector with A Shared Encoder-Decoder
• P4AI: Approaching AI Ethics through Principlism
• Analyzing the Dependency of ConvNets on Spatial Information
• Dilated Fully Convolutional Neural Network for Depth Estimation from a Single Image
• Multiple Instance Learning Convolutional Neural Networks for Object Recognition
• RL-CSDia: Representation Learning of Computer Science Diagrams
• Forensic Scanner Identification Using Machine Learning
• Wide Aspect Ratio Matching for Robust Face Detection
• $\P$ILCRO: Making Importance Landscapes Flat Again
• Deep Learning-Based Image Kernel for Inductive Transfer
• Linear Span Network for Object Skeleton Detection
• Enhanced Signal Recovery via Sparsity Inducing Image Priors
• Classification of Protein Crystallization X-Ray Images Using Major Convolutional Neural Network Architectures
• Anomaly Localization in Model Gradients Under Backdoor Attacks Against Federated Learning
• Network Pruning via Annealing and Direct Sparsity Control
• Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks using Stochastic Computing
• GDN: A Stacking Network Used for Skin Cancer Diagnosis
• NeurIPS 2019 Disentanglement Challenge: Improved Disentanglement through Learned Aggregation of Convolutional Feature Maps
• A Survey On 3D Inner Structure Prediction from its Outer Shape
• ARMA Nets: Expanding Receptive Field for Dense Prediction
• Object Detection on Single Monocular Images through Canonical Correlation Analysis
• T-Net: Learning Feature Representation with Task-specific Supervision for Biomedical Image Analysis
• Renofeation: A Simple Transfer Learning Method for Improved Adversarial Robustness
• SdcNet: A Computation-Efficient CNN for Object Recognition
• Acoustic Scene Classification Using Bilinear Pooling on Time-liked and Frequency-liked Convolution Neural Network
• Counting dense objects in remote sensing images
• Saliency strikes back: How filtering out high frequencies improves white-box explanations
• An Attention Transfer Model for Human-Assisted Failure Avoidance in Robot Manipulations
• An End-to-End Framework for Unsupervised Pose Estimation of Occluded Pedestrians
• Residual Continual Learning
• Resisting Large Data Variations via Introspective Transformation Network
• Analyzing Curriculum Learning for Sentiment Analysis along Task Difficulty, Pacing and Visualization Axes
• Self-Checking Deep Neural Networks in Deployment
• DeepFake-o-meter: An Open Platform for DeepFake Detection
• Buildings Classification using Very High Resolution Satellite Imagery
• Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning?
• Learning to Inpaint by Progressively Growing the Mask Regions
• PoET-BiN: Power Efficient Tiny Binary Neurons
• MobiFace: A Novel Dataset for Mobile Face Tracking in the Wild
• A Practical Framework for ROI Detection in Medical Images -- a case study for hip detection in anteroposterior pelvic radiographs
• Low Precision Floating-point Arithmetic for High Performance FPGA-based CNN Acceleration
• End-to-End Refinement Guided by Pre-trained Prototypical Classifier
• Reliable counting of weakly labeled concepts by a single spiking neuron model
• Using CNNs to Identify the Origin of Finger Vein Image
• A Simple Riemannian Manifold Network for Image Set Classification
• Network-Density-Controlled Decentralized Parallel Stochastic Gradient Descent in Wireless Systems
• A Robust CNN Framework with Dual Feedback Feature Accumulation for Detecting Pneumonia Opacity from Chest X-ray Images
• Bayesian Sparsification Methods for Deep Complex-valued Networks
• Enhanced Transfer Learning Through Medical Imaging and Patient Demographic Data Fusion
• Sparse Architectures for Text-Independent Speaker Verification Using Deep Neural Networks
• E(2) Equivariant Self-Attention for Radio Astronomy
• Head Mounted Pupil Tracking Using Convolutional Neural Network
• Architectural Resilience to Foreground-and-Background Adversarial Noise
• Stop memorizing: A data-dependent regularization framework for intrinsic pattern learning
• Characterization and recognition of handwritten digits using Julia
• An Adaptive Video Acquisition Scheme for Object Tracking and its Performance Optimization
• Modelling response to trypophobia trigger using intermediate layers of ImageNet networks
• Joint 2D-3D Breast Cancer Classification
• Fusion of Complex Networks-based Global and Local Features for Texture Classification
• GLocal: Global Graph Reasoning and Local Structure Transfer for Person Image Generation
• Cell abundance aware deep learning for cell detection on highly imbalanced pathological data
• Improve SGD Training via Aligning Mini-batches
• Wider Vision: Enriching Convolutional Neural Networks via Alignment to External Knowledge Bases
• One Shot Audio to Animated Video Generation
• Identity Recognition in Intelligent Cars with Behavioral Data and LSTM-ResNet Classifier
• Pose Augmentation: Class-agnostic Object Pose Transformation for Object Recognition
• Deep Convolutional Poses for Human Interaction Recognition in Monocular Videos
• RODNet: Radar Object Detection Using Cross-Modal Supervision
• Compression Artifacts Reduction by a Deep Convolutional Network
• Attribution Mask: Filtering Out Irrelevant Features By Recursively Focusing Attention on Inputs of DNNs
• A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework
• Active Object Localization with Deep Reinforcement Learning
• Weeping and Gnashing of Teeth: Teaching Deep Learning in Image and Video Processing Classes
• Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning
• Reference-based Texture transfer for Single Image Super-resolution of Magnetic Resonance images
• TAN: Temporal Aggregation Network for Dense Multi-label Action Recognition
• Weakly supervised segment annotation via expectation kernel density estimation
• MCMC Guided CNN Training and Segmentation for Pancreas Extraction
• Diversity Promoting Online Sampling for Streaming Video Summarization
• Using an ensemble color space model to tackle adversarial examples
• Multi Instance Learning For Unbalanced Data
• FPGA Implementations of 3D-SIMD Processor Architecture for Deep Neural Networks Using Relative Indexed Compressed Sparse Filter Encoding Format and Stacked Filters Stationary Flow
• Cross-modal Multi-task Learning for Graphic Recognition of Caricature Face
• Deep Iteration Assisted by Multi-level Obey-pixel Network Discriminator (DIAMOND) for Medical Image Recovery
• Kernel Quantization for Efficient Network Compression
• Sparse Signal Recovery for Binary Compressed Sensing by Majority Voting Neural Networks
• Computational Anatomy for Multi-Organ Analysis in Medical Imaging: A Review
• An Empirical Analysis of Deep Audio-Visual Models for Speech Recognition
• Image-to-image Neural Network for Addition and Subtraction of a Pair of Not Very Large Numbers
• Quantized Neural Networks via {-1, +1} Encoding Decomposition and Acceleration
• Canonical Correlation Analysis for Misaligned Satellite Image Change Detection
• HADFL: Heterogeneity-aware Decentralized Federated Learning Framework
• Hierarchical Models: Intrinsic Separability in High Dimensions
• Cascaded Coarse-to-Fine Deep Kernel Networks for Efficient Satellite Image Change Detection
• Real-time Human Detection Model for Edge Devices
• DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets
• Exploring the Challenges towards Lifelong Fact Learning
• Efficient Face Alignment via Locality-constrained Representation for Robust Recognition
• A Bayesian Neural Network based on Dropout Regulation
• Machine Learning enabled Spectrum Sharing in Dense LTE-U/Wi-Fi Coexistence Scenarios
• A Content Transformation Block For Image Style Transfer
• One-shot Face Reenactment Using Appearance Adaptive Normalization
• Unsupervised Learning of GMM with a Uniform Background Component
• Unsupervised monocular stereo matching
• Algorithm to Compilation Co-design: An Integrated View of Neural Network Sparsity
• Quality Control of Neuron Reconstruction Based on Deep Learning
• Investigating Image Applications Based on Spatial-Frequency Transform and Deep Learning Techniques
• Amicable Aid: Perturbing Images to Improve Classification Performance
• GIM: Gaussian Isolation Machines
• Generating Adversarial Perturbation with Root Mean Square Gradient
• Probabilistic Learning Vector Quantization on Manifold of Symmetric Positive Definite Matrices
• Local Area Transform for Cross-Modality Correspondence Matching and Deep Scene Recognition
• Discriminate-and-Rectify Encoders: Learning from Image Transformation Sets
• Foldover Features for Dynamic Object Behavior Description in Microscopic Videos
• LOOPER: Inferring computational algorithms enacted by neuronal population dynamics
• Video-based Person Re-Identification using Gated Convolutional Recurrent Neural Networks
• Towards Heterogeneous Clients with Elastic Federated Learning
• Detecting Pulmonary Coccidioidomycosis (Valley fever) with Deep Convolutional Neural Networks
• Snap Angle Prediction for 360${}^{\circ }$ Panoramas
• How Compact?: Assessing Compactness of Representations through Layer-Wise Pruning
• Low-Cost Transfer Learning of Face Tasks
• The Effect of Class Definitions on the Transferability of Adversarial Attacks Against Forensic CNNs
• HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks
• Learning Structral coherence Via Generative Adversarial Network for Single Image Super-Resolution
• Online Active Proposal Set Generation for Weakly Supervised Object Detection
• Deep Semantic Matching with Foreground Detection and Cycle-Consistency
• A Lightweight ReLU-Based Feature Fusion for Aerial Scene Classification
• Image retrieval method based on CNN and dimension reduction
• Comparative Evaluation of 3D and 2D Deep Learning Techniques for Semantic Segmentation in CT Scans
• Narration Generation for Cartoon Videos
• Image Semantic Transformation: Faster, Lighter and Stronger
• FRAME Revisited: An Interpretation View Based on Particle Evolution
• A Face Recognition Signature Combining Patch-based Features with Soft Facial Attributes
• An Efficient Agreement Mechanism in CapsNets By Pairwise Product
• KCP: Kernel Cluster Pruning for Dense Labeling Neural Networks
• Coarse-to-Fine Gaze Redirection with Numerical and Pictorial Guidance
• Driver Distraction Identification with an Ensemble of Convolutional Neural Networks
• Geometry-Based Region Proposals for Real-Time Robot Detection of Tabletop Objects
• Use of First and Third Person Views for Deep Intersection Classification
• Efficient Image Splicing Localization via Contrastive Feature Extraction
• Hamiltonian Monte-Carlo for Orthogonal Matrices
• Bladder segmentation based on deep learning approaches: current limitations and lessons
• An End-to-End Learning Approach for Trajectory Prediction in Pedestrian Zones
• Dynamic DNN Decomposition for Lossless Synergistic Inference
• Go Small and Similar: A Simple Output Decay Brings Better Performance
• ViT-Inception-GAN for Image Colourising
• Multi-modal dialog for browsing large visual catalogs using exploration-exploitation paradigm in a joint embedding space
• A SARS-CoV-2 Microscopic Image Dataset with Ground Truth Images and Visual Features
• A real-time hourly ozone prediction system using deep convolutional neural network
• A Multi-Modal Approach to Infer Image Affect
• Investigating Alternatives to the Root Mean Square for Adaptive Gradient Methods
• Effect of Various Regularizers on Model Complexities of Neural Networks in Presence of Input Noise
• Fusing Hierarchical Convolutional Features for Human Body Segmentation and Clothing Fashion Classification
• Exploration of Visual Features and their weighted-additive fusion for Video Captioning
• Adaptive Gradient for Adversarial Perturbations Generation
• A Black-box Adversarial Attack Strategy with Adjustable Sparsity and Generalizability for Deep Image Classifiers
• Unchain the Search Space with Hierarchical Differentiable Architecture Search
• MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression
• Spatio-Temporal Dual-Stream Neural Network for Sequential Whole-Body PET Segmentation
• Neural Re-Rendering of Humans from a Single Image
• Exponential Discriminative Metric Embedding in Deep Learning
• A backward pass through a CNN using a generative model of its activations
• Synthesizing New Retinal Symptom Images by Multiple Generative Models
• Using Deep Cross Modal Hashing and Error Correcting Codes for Improving the Efficiency of Attribute Guided Facial Image Retrieval
• 2^B3^C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional Networks
• GnetSeg: Semantic Segmentation Model Optimized on a 224mW CNN Accelerator Chip at the Speed of 318FPS
• Adversarial Attack Attribution: Discovering Attributable Signals in Adversarial ML Attacks
• BN-invariant sharpness regularizes the training model to better generalization
• Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond
• BSD-GAN: Branched Generative Adversarial Network for Scale-Disentangled Representation Learning and Image Synthesis
• Automatic discovery of discriminative parts as a quadratic assignment problem
• VHS to HDTV Video Translation using Multi-task Adversarial Learning
• Initializing Perturbations in Multiple Directions for Fast Adversarial Training
• Learning to see across Domains and Modalities
• Improved Deep Hashing with Soft Pairwise Similarity for Multi-label Image Retrieval
• Robust Text CAPTCHAs Using Adversarial Examples
• Can We Automate Diagrammatic Reasoning?
• Neural Storage: A New Paradigm of Elastic Memory
• Fine-Grained Vehicle Perception via 3D Part-Guided Visual Data Augmentation
• Improving Catheter Segmentation & Localization in 3D Cardiac Ultrasound Using Direction-Fused FCN
• A DNN Framework For Text Image Rectification From Planar Transformations
• DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions
• A Hybrid Learner for Simultaneous Localization and Mapping
• CNN with large memory layers
• On the difficulty of a distributional semantics of spoken language
• Predicting city safety perception based on visual image content
• TOFU: Towards Obfuscated Federated Updates by Encoding Weight Updates into Gradients from Proxy Data
• Speeding up convolutional networks pruning with coarse ranking
• On-device Filtering of Social Media Images for Efficient Storage
• One of these (Few) Things is Not Like the Others
• Labeled Data Generation with Inexact Supervision
• NeuralMagicEye: Learning to See and Understand the Scene Behind an Autostereogram
• Unpaired Image Enhancement with Quality-Attention Generative Adversarial Network
• Detecting Lesion Bounding Ellipses With Gaussian Proposal Networks
• Bi-stream Pose Guided Region Ensemble Network for Fingertip Localization from Stereo Images
• Adversarial Multi-scale Feature Learning for Person Re-identification
• Inner Ensemble Networks: Average Ensemble as an Effective Regularizer
• Improving drone localisation around wind turbines using monocular model-based tracking
• Zero-shot Learning of 3D Point Cloud Objects
• Accurate Cell Segmentation in Digital Pathology Images via Attention Enforced Networks
• AmphibianDetector: adaptive computation for moving objects detection
• Real-Time Facial Expression Emoji Masking with Convolutional Neural Networks and Homography
• 'Part'ly first among equals: Semantic part-based benchmarking for state-of-the-art object recognition systems
• Analyzing Representations inside Convolutional Neural Networks
• Recurrent Residual Module for Fast Inference in Videos
• LocalNorm: Robust Image Classification through Dynamically Regularized Normalization
• Evolving Neural Architecture Using One Shot Model
• Implicit Convex Regularizers of CNN Architectures: Convex Optimization of Two- and Three-Layer Networks in Polynomial Time
• Novel Adaptive Binary Search Strategy-First Hybrid Pyramid- and Clustering-Based CNN Filter Pruning Method without Parameters Setting
• Did Evolution get it right? An evaluation of Near-Infrared imaging in semantic scene segmentation using deep learning
• Exploiting Vulnerability of Pooling in Convolutional Neural Networks by Strict Layer-Output Manipulation for Adversarial Attacks
• Semantic-driven Colorization
• Spatial light interference microscopy (SLIM): principle and applications to biomedicine
• Unsupervised Image Segmentation using Mutual Mean-Teaching
• Sleep-deprived Fatigue Pattern Analysis using Large-Scale Selfies from Social Med
• Batch Normalization and the impact of batch structure on the behavior of deep convolution networks
• Learning Multiple Categories on Deep Convolution Networks
• Research on All-content Text Recognition Method for Financial Ticket Image
• Robust One Shot Audio to Video Generation
• Deep Learning Meets SAR
• DSM Refinement with Deep Encoder-Decoder Networks
• Multi Modal Adaptive Normalization for Audio to Video Generation
• Graphs for deep learning representations
• Human Pose Transfer by Adaptive Hierarchical Deformation
• Scenarios: A New Representation for Complex Scene Understanding
• Price Suggestion for Online Second-hand Items with Texts and Images
• Restyling Images with the Bangladeshi Paintings Using Neural Style Transfer: A Comprehensive Experiment, Evaluation, and Human Perspective
• Purifying Naturalistic Images through a Real-time Style Transfer Semantics Network
• Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions in Medical Domain
• Empirical Study on the Software Engineering Practices in Open Source ML Package Repositories
• Reinforcement Based Learning on Classification Task Could Yield Better Generalization and Adversarial Accuracy
• Phenotypic Profiling of High Throughput Imaging Screens with Generic Deep Convolutional Features
• Triplet-based Deep Similarity Learning for Person Re-Identification
• Quality-aware Unpaired Image-to-Image Translation
• Robust Analytics for Video-Based Gait Biometrics
• A Biologically Plausible Audio-Visual Integration Model for Continual Learning
• Deep Interactive Denoiser (DID) for X-Ray Computed Tomography
• Neural Architecture Search via Bregman Iterations
• CoEdge: Cooperative DNN Inference with Adaptive Workload Partitioning over Heterogeneous Edge Devices
• Appearance-Based Gaze Estimation Using Dilated-Convolutions
• Generating Adversarial Examples With Conditional Generative Adversarial Net
• Perceptron Synthesis Network: Rethinking the Action Scale Variances in Videos
• Parallel Blockwise Knowledge Distillation for Deep Neural Network Compression
• ResPerfNet: Deep Residual Learning for Regressional Performance Modeling of Deep Neural Networks
• Augmented Bi-path Network for Few-shot Learning
• On Class Imbalance and Background Filtering in Visual Relationship Detection
• BitSplit-Net: Multi-bit Deep Neural Network with Bitwise Activation Function
• Generating Descriptions for Sequential Images with Local-Object Attention and Global Semantic Context Modelling
• NEAT: Non-linearity Aware Training for Accurate and Energy-Efficient Implementation of Neural Networks on 1T-1R Memristive Crossbars
• Pathology-Aware Generative Adversarial Networks for Medical Image Augmentation
• Network Horizon Dynamics I: Qualitative Aspects
• Image Retargetability
• On evaluating CNN representations for low resource medical image classification
• Toward Accurate Platform-Aware Performance Modeling for Deep Neural Networks
• Multiclass non-Adversarial Image Synthesis, with Application to Classification from Very Small Sample
• An End-to-End Approach to Automatic Speech Assessment for Cantonese-speaking People with Aphasia
• Unsupervised Part Discovery via Feature Alignment
• Data Dwarfs: A Lens Towards Fully Understanding Big Data and AI Workloads
• SelectScale: Mining More Patterns from Images via Selective and Soft Dropout
• Equivariance-bridged SO(2)-Invariant Representation Learning using Graph Convolutional Network
• Deep Built-Structure Counting in Satellite Imagery Using Attention Based Re-Weighting
• Data-Driven Microstructure Property Relations
• ClusterFace: Joint Clustering and Classification for Set-Based Face Recognition
• Deep Policy Hashing Network with Listwise Supervision
• Dual Pattern Learning Networks by Empirical Dual Prediction Risk Minimization
• C2S2: Cost-aware Channel Sparse Selection for Progressive Network Pruning
• Relation3DMOT: Exploiting Deep Affinity for 3D Multi-Object Tracking from View Aggregation
• Abiotic Stress Prediction from RGB-T Images of Banana Plantlets
• A Novel Co-design Peta-scale Heterogeneous Cluster for Deep Learning Training
• Video SemNet: Memory-Augmented Video Semantic Network
• Spatially Correlated Patterns in Adversarial Images
• Anonymization of labeled TOF-MRA images for brain vessel segmentation using generative adversarial networks
• Is Each Layer Non-trivial in CNN?
• Combining Deep Transfer Learning with Signal-image Encoding for Multi-Modal Mental Wellbeing Classification
• Deep N-ary Error Correcting Output Codes
• The human visual system and CNNs can both support robust online translation tolerance following extreme displacements
• Modeling human visual search: A combined Bayesian searcher and saliency map approach for eye movement guidance in natural scenes
• CAMS: Color-Aware Multi-Style Transfer
• Patch redundancy in images: a statistical testing framework and some applications
• Shuffle and Learn: Minimizing Mutual Information for Unsupervised Hashing
• Image Denoising by Gaussian Patch Mixture Model and Low Rank Patches
• Convolutional Neural Network on Semi-Regular Triangulated Meshes and its Application to Brain Image Data
• Supersaliency: A Novel Pipeline for Predicting Smooth Pursuit-Based Attention Improves Generalizability of Video Saliency
• A Multi-class Approach -- Building a Visual Classifier based on Textual Descriptions using Zero-Shot Learning
• A Deep Optimization Approach for Image Deconvolution
• End-to-End Bengali Speech Recognition
• Pixel-wise Dense Detector for Image Inpainting
• Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications
• Empirical Performance Analysis of Conventional Deep Learning Models for Recognition of Objects in 2-D Images
• Matrix Engines for High Performance Computing:A Paragon of Performance or Grasping at Straws?
• Taking A Closer Look at Synthesis: Fine-grained Attribute Analysis for Person Re-Identification
• A Light-Weight Multimodal Framework for Improved Environmental Audio Tagging
• Core Sampling Framework for Pixel Classification
• Unsupervised Contrastive Photo-to-Caricature Translation based on Auto-distortion
• Two-Stream Appearance Transfer Network for Person Image Generation
• Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks
• Defense-friendly Images in Adversarial Attacks: Dataset and Metrics for Perturbation Difficulty
• A Greedy Algorithm for Quantizing Neural Networks
• Full-stack Optimization for Accelerating CNNs with FPGA Validation
• Sex-Prediction from Periocular Images across Multiple Sensors and Spectra
• Corn Yield Prediction with Ensemble CNN-DNN
• Fast Object Detection with Latticed Multi-Scale Feature Fusion
• Predicting Classification Accuracy When Adding New Unobserved Classes
• DeepIlluminance: Contextual Illuminance Estimation via Deep Neural Networks
• A Study on Trees's Knots Prediction from their Bark Outer-Shape
• Few-Shot Font Generation with Deep Metric Learning
• CD-UAP: Class Discriminative Universal Adversarial Perturbation
• Gaussian MRF Covariance Modeling for Efficient Black-Box Adversarial Attacks
• Neural Random Projection: From the Initial Task To the Input Similarity Problem
• Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge Transfer
• PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS with Relationship Recovery
• Deep Sequence Learning for Video Anticipation: From Discrete and Deterministic to Continuous and Stochastic
• Learning Cascaded Siamese Networks for High Performance Visual Tracking
• Selective Information Passing for MR/CT Image Segmentation
• Classificação de espécies de peixe utilizando redes neurais convolucional
• CC-Loss: Channel Correlation Loss For Image Classification
• Candidates vs. Noises Estimation for Large Multi-Class Classification Problem
• ROSA: Robust Salient Object Detection against Adversarial Attacks
• Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition
• Two-Stream Compare and Contrast Network for Vertebral Compression Fracture Diagnosis
• Learning Propagation Rules for Attribution Map Generation
• WeightAlign: Normalizing Activations by Weight Alignment
• Photofeeler-D3: A Neural Network with Voter Modeling for Dating Photo Impression Prediction
• Reverse Engineering Imperceptible Backdoor Attacks on Deep Neural Networks for Detection and Training Set Cleansing
• Pixel-wise object tracking
• Learning Visual Voice Activity Detection with an Automatically Annotated Dataset
• Context-based Image Segment Labeling (CBISL)
• Few-shot Learning by Exploiting Visual Concepts within CNNs
• Unsupervised Foveal Vision Neural Networks with Top-Down Attention
• MARNet: Multi-Abstraction Refinement Network for 3D Point Cloud Analysis
• Convolutional-LSTM for Multi-Image to Single Output Medical Prediction
• HCNet: Hierarchical Context Network for Semantic Segmentation
• Optimising the Performance of Convolutional Neural Networks across Computing Systems using Transfer Learning
• High-Capacity Complex Convolutional Neural Networks For I/Q Modulation Classification
• L-RED: Efficient Post-Training Detection of Imperceptible Backdoor Attacks without Access to the Training Set
• Learning to Learn Image Classifiers with Visual Analogy
• Transformation Driven Visual Reasoning
• Generating Minimal Adversarial Perturbations with Integrated Adaptive Gradients
• Spatial Sampling Network for Fast Scene Understanding
• Supervised Online Hashing via Hadamard Codebook Learning
• Tissue characterization based on the analysis on i3DUS data for diagnosis support in neurosurgery
• Classification Beats Regression: Counting of Cells from Greyscale Microscopic Images based on Annotation-free Training Samples
• DropRegion Training of Inception Font Network for High-Performance Chinese Font Recognition
• Adversarial Evaluation of Multimodal Models under Realistic Gray Box Assumption
• Towards Disentangling Latent Space for Unsupervised Semantic Face Editing
• RIN: Textured Human Model Recovery and Imitation with a Single Image
• Super Interaction Neural Network
• Closed-Loop Adaptation for Weakly-Supervised Semantic Segmentation
• High-Frequency aware Perceptual Image Enhancement
• Iterative Object and Part Transfer for Fine-Grained Recognition
• Continuous Perception for Classifying Shapes and Weights of Garmentsfor Robotic Vision Applications
• When deep learning models on GPU can be accelerated by taking advantage of unstructured sparsity
• DTNN: Energy-efficient Inference with Dendrite Tree Inspired Neural Networks for Edge Vision Applications
• MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing
• Depth-Enhanced Feature Pyramid Network for Occlusion-Aware Verification of Buildings from Oblique Images
• Online Descriptor Enhancement via Self-Labelling Triplets for Visual Data Association
• Learning Better Visual Dialog Agents with Pretrained Visual-Linguistic Representation
• Know Where To Drop Your Weights: Towards Faster Uncertainty Estimation
• Resolving the cybersecurity Data Sharing Paradox to scale up cybersecurity via a co-production approach towards data sharing
• Phantom: A High-Performance Computational Core for Sparse Convolutional Neural Networks
• Explainable, automated urban interventions to improve pedestrian and vehicle safety
• Efficient Semantic Image Synthesis via Class-Adaptive Normalization
• Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network
• Corn leaf detection using Region based convolutional neural network
• Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric
• EventHands: Real-Time Neural 3D Hand Pose Estimation from an Event Stream
• Non-uniqueness phenomenon of object representation in modelling IT cortex by deep convolutional neural network (DCNN)
• Cross Modality 3D Navigation Using Reinforcement Learning and Neural Style Transfer
• Quantum Algorithms for Unsupervised Machine Learning and Neural Networks
• Secure Machine Learning in the Cloud Using One Way Scrambling by Deconvolution
• Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning
• Deep learning for identification and face, gender, expression recognition under constraints
• PatchGame: Learning to Signal Mid-level Patches in Referential Games
• CvS: Classification via Segmentation For Small Datasets
• Simultaneously Learning Architectures and Features of Deep Neural Networks
• Separating Content and Style for Unsupervised Image-to-Image Translation
• MV-C3D: A Spatial Correlated Multi-View 3D Convolutional Neural Networks
• Transductive Visual Verb Sense Disambiguation
• Understanding the Role of Self-Supervised Learning in Out-of-Distribution Detection Task
• Defending Against Adversarial Attacks Using Random Forests
• Mixture separability loss in a deep convolutional network for image classification
• W-Net: A Two-Stage Convolutional Network for Nucleus Detection in Histopathology Image
• Multi-Scale Convolutions for Learning Context Aware Feature Representations
• ParNet: Position-aware Aggregated Relation Network for Image-Text matching
• ADA-Tucker: Compressing Deep Neural Networks via Adaptive Dimension Adjustment Tucker Decomposition
• Self-supervised denoising for massive noisy images
• Font Style that Fits an Image -- Font Generation Based on Image Context
• Using colorization as a tool for automatic makeup suggestion
• PPR10K: A Large-Scale Portrait Photo Retouching Dataset with Human-Region Mask and Group-Level Consistency
• Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation
• Memory visualization tool for training neural network
• Evaluating (and improving) the correspondence between deep neural networks and human representations
• A DCNN-based Arbitrarily-Oriented Object Detector for Quality Control and Inspection Application
• Signal to Noise Ratio Loss Function
• Image deblurring based on lightweight multi-information fusion network
• Non-destructive three-dimensional measurement of hand vein based on self-supervised network
• Class-Discriminative CNN Compression
• HENet: Forcing a Network to Think More for Font Recognition
• Image Annotation using Multi-Layer Sparse Coding
• Unified Embedding and Metric Learning for Zero-Exemplar Event Detection
• The Forgettable-Watcher Model for Video Question Answering
• Brno Mobile OCR Dataset
• IGN : Implicit Generative Networks
• Towards Interpretable Deep Extreme Multi-label Learning
• Self-Supervision and Spatial-Sequential Attention Based Loss for Multi-Person Pose Estimation
• Estimating galaxy masses from kinematics of globular cluster systems: a new method based on deep learning
• Assessing Post Deletion in Sina Weibo: Multi-modal Classification of Hot Topics
• Moiré Attack (MA): A New Potential Risk of Screen Photos
• Visualizing and Describing Fine-grained Categories as Textures
• Unified Style Transfer
• Inference Graphs for CNN Interpretation
• Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles
• Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers
• BERMo: What can BERT learn from ELMo?
• Eliminating Sharp Minima from SGD with Truncated Heavy-tailed Noise
• Graph Convolution Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos
• S-OHEM: Stratified Online Hard Example Mining for Object Detection
• Body Part Regression for CT Images
• Probabilistic Trust Intervals for Out of Distribution Detection
• A Targeted Acceleration and Compression Framework for Low bit Neural Networks
• Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks
• An Acceleration Method Based on Deep Learning and Multilinear Feature Space
• NeuroView: Explainable Deep Network Decision Making
• Student Helping Teacher: Teacher Evolution via Self-Knowledge Distillation
• Pose Guided Person Image Generation with Hidden p-Norm Regression
• Semantic Image Fusion
• Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images
• Enhanced generative adversarial network for 3D brain MRI super-resolution
• Graph Interpolating Activation Improves Both Natural and Robust Accuracies in Data-Efficient Deep Learning
• 2D versus 3D Convolutional Spiking Neural Networks Trained with Unsupervised STDP for Human Action Recognition
• Interpretable 3D Human Action Analysis with Temporal Convolutional Networks
• Preliminary study on the modal decomposition of Hermite Gaussian beams via deep learning
• Reliable Shot Identification for Complex Event Detection via Visual-Semantic Embedding
• Repairing Human Trust by Promptly Correcting Robot Mistakes with An Attention Transfer Model
• Improving AMD diagnosis by the simultaneous identification of associated retinal lesions
• Feature Tracking Cardiac Magnetic Resonance via Deep Learning and Spline Optimization
• BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning
• Asymmetric Feature Maps with Application to Sketch Based Retrieval
• News Cover Assessment via Multi-task Learning
• Generation and Simulation of Yeast Microscopy Imagery with Deep Learning
• Learning Realistic Human Reposing using Cyclic Self-Supervision with 3D Shape, Pose, and Appearance Consistency
• DaiMoN: A Decentralized Artificial Intelligence Model Network
• Pay Attention to Those Sets! Learning Quantification from Images
• Learning with Hyperspherical Uniformity
• OLED: One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection
• Synthesizing Photorealistic Images with Deep Generative Learning
• Using Satellite Imagery for Good: Detecting Communities in Desert and Mapping Vaccination Activities
• FedOptima: Optimizing Resource Utilization in Federated Learning
• Invertible Tone Mapping with Selectable Styles
• Semantic Softmax Loss for Zero-Shot Learning
• An Empirical Study on Compressed Decentralized Stochastic Gradient Algorithms with Overparameterized Models
• Selective Output Smoothing Regularization: Regularize Neural Networks by Softening Output Distributions
• Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning
• Machine Learning approaches to do size based reasoning on Retail Shelf objects to classify product variants