Deep Residual Learning for Image Recognition

Abstract

Deeper neural networks are more difficult to train. We present a residual learning framework to ease the training of networks that are substantially deeper than those used previously. We explicitly reformulate the layers as learning residual functions with reference to the layer inputs, instead of learning unreferenced functions. We provide comprehensive empirical evidence showing that these residual networks are easier to optimize, and can gain accuracy from considerably increased depth. On the ImageNet dataset we evaluate residual nets with a depth of up to 152 layers---8x deeper than VGG nets but still having lower complexity. An ensemble of these residual nets achieves 3.57% error on the ImageNet test set. This result won the 1st place on the ILSVRC 2015 classification task. We also present analysis on CIFAR-10 with 100 and 1000 layers. The depth of representations is of central importance for many visual recognition tasks. Solely due to our extremely deep representations, we obtain a 28% relative improvement on the COCO object detection dataset. Deep residual nets are foundations of our submissions to ILSVRC & COCO 2015 competitions, where we also won the 1st places on the tasks of ImageNet detection, ImageNet localization, COCO detection, and COCO segmentation.

Tech report

References in corpus (3)

• Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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• What Do You See? Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural Backdoors
• Shared Data and Algorithms for Deep Learning in Fundamental Physics
• RankIQA: Learning from Rankings for No-reference Image Quality Assessment
• Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback
• Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present
• DVQA: Understanding Data Visualizations via Question Answering
• Iterative Visual Reasoning Beyond Convolutions
• High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis
• Wide Compression: Tensor Ring Nets
• ImageAssist: Tools for Enhancing Touchscreen-Based Image Exploration Systems for Blind and Low Vision Users
• Searches for Compact Binary Coalescence Events using Neural Networks in LIGO/Virgo Second Observation Period
• Learning Affinity via Spatial Propagation Networks
• HARRISON: A Benchmark on HAshtag Recommendation for Real-world Images in Social Networks
• Scribbler: Controlling Deep Image Synthesis with Sketch and Color
• Learning to Detect Human-Object Interactions
• Text Detection and Recognition in the Wild: A Review
• Less Is More: Picking Informative Frames for Video Captioning
• Deep Back-Projection Networks For Super-Resolution
• Pose-Invariant Face Alignment with a Single CNN
• Quark-Gluon Jet Discrimination Using Convolutional Neural Networks
• Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Too Much Accuracy
• How fine can fine-tuning be? Learning efficient language models
• How Does Batch Normalization Help Binary Training?
• Effect of Annotation Errors on Drone Detection with YOLOv3
• Instance-level Human Parsing via Part Grouping Network
• Machine Learning in High Energy Physics: A review of heavy-flavor jet tagging at the LHC
• Learning Dual Convolutional Neural Networks for Low-Level Vision
• 3D-A-Nets: 3D Deep Dense Descriptor for Volumetric Shapes with Adversarial Networks
• Player Identification in Hockey Broadcast Videos
• Deep Learning for Identifying Iran's Cultural Heritage Buildings in Need of Conservation Using Image Classification and Grad-CAM
• Predictive Analysis of Diabetic Retinopathy with Transfer Learning
• A semi-supervised self-training method to develop assistive intelligence for segmenting multiclass bridge elements from inspection videos
• Online Video Deblurring via Dynamic Temporal Blending Network
• Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation
• Improving Multi-Modal Learning with Uni-Modal Teachers
• Demonstration of background rejection using deep convolutional neural networks in the NEXT experiment
• Image to Image Translation for Domain Adaptation
• DDRprog: A CLEVR Differentiable Dynamic Reasoning Programmer
• Quantization for Rapid Deployment of Deep Neural Networks
• DenseNet Models for Tiny ImageNet Classification
• Abnormality Detection in Mammography using Deep Convolutional Neural Networks
• Rethinking Feature Distribution for Loss Functions in Image Classification
• Towards Frequency-Based Explanation for Robust CNN
• CASENet: Deep Category-Aware Semantic Edge Detection
• Estimating 6D Pose From Localizing Designated Surface Keypoints
• Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation
• Person Search via A Mask-Guided Two-Stream CNN Model
• Not All Pixels Are Equal: Difficulty-aware Semantic Segmentation via Deep Layer Cascade
• Jet-Parton Assignment in ttH Events using Deep Learning
• ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identification
• NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data
• Teaching Categories to Human Learners with Visual Explanations
• A Convolutional Neural Network For Cosmic String Detection in CMB Temperature Maps
• Crowd counting via scale-adaptive convolutional neural network
• Learning efficient haptic shape exploration with a rigid tactile sensor array
• Natural Language Guided Visual Relationship Detection
• From phonemes to images: levels of representation in a recurrent neural model of visually-grounded language learning
• Motion-Appearance Co-Memory Networks for Video Question Answering
• BlockCNN: A Deep Network for Artifact Removal and Image Compression
• Interpretable Convolutional Neural Networks
• Acting Thoughts: Towards a Mobile Robotic Service Assistant for Users with Limited Communication Skills
• Colorectal cancer diagnosis from histology images: A comparative study
• Task-driven Visual Saliency and Attention-based Visual Question Answering
• From Patch to Image Segmentation using Fully Convolutional Networks -- Application to Retinal Images
• Solar Image Restoration with the Cycle-GAN Based on Multi-Fractal Properties of Texture Features
• AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference
• Abdominal synthetic CT reconstruction with intensity projection prior for MRI-only adaptive radiotherapy
• DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation
• A Fast and Accurate One-Stage Approach to Visual Grounding
• A convolutional neural network approach for reconstructing polarization information of photoelectric X-ray polarimeters
• Constrained Neural Ordinary Differential Equations with Stability Guarantees
• Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics
• Improving Fully Convolution Network for Semantic Segmentation
• Deep Neural Network Architectures for Modulation Classification
• Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel
• Polygonal Building Segmentation by Frame Field Learning
• Revisiting Model Stitching to Compare Neural Representations
• Knowledge Concentration: Learning 100K Object Classifiers in a Single CNN
• SARM: Sparse Autoregressive Model for Scalable Generation of Sparse Images in Particle Physics
• Video Captioning via Hierarchical Reinforcement Learning
• Real-Time Value-Driven Data Augmentation in the Era of LSST
• An Analysis of Visual Question Answering Algorithms
• Viewmaker Networks: Learning Views for Unsupervised Representation Learning
• Situation Recognition with Graph Neural Networks
• Macroscale fracture surface segmentation via semi-supervised learning considering the structural similarity
• High-Resolution Multispectral Dataset for Semantic Segmentation
• Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks
• Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches
• Lattice Long Short-Term Memory for Human Action Recognition
• Image Super-Resolution via Dual-State Recurrent Networks
• All Weather Perception: Joint Data Association, Tracking, and Classification for Autonomous Ground Vehicles
• Network of Experts for Large-Scale Image Categorization
• Pneumothorax Segmentation: Deep Learning Image Segmentation to predict Pneumothorax
• Repulsion Loss: Detecting Pedestrians in a Crowd
• SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation
• Weakly-supervised Visual Grounding of Phrases with Linguistic Structures
• Comparison of projection domain, image domain, and comprehensive deep learning for sparse-view X-ray CT image reconstruction
• Practical Block-wise Neural Network Architecture Generation
• A Closer Look at Local Aggregation Operators in Point Cloud Analysis
• Mass Estimation of Galaxy Clusters with Deep Learning II: CMB Cluster Lensing
• Learning a Discriminative Prior for Blind Image Deblurring
• Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines
• RUN:Residual U-Net for Computer-Aided Detection of Pulmonary Nodules without Candidate Selection
• Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks
• PPR-FCN: Weakly Supervised Visual Relation Detection via Parallel Pairwise R-FCN
• Zero-Shot Visual Recognition using Semantics-Preserving Adversarial Embedding Networks
• Multiple People Tracking Using Hierarchical Deep Tracklet Re-identification
• An Accurate and Real-time Self-blast Glass Insulator Location Method Based On Faster R-CNN and U-net with Aerial Images
• Pose-Robust Face Recognition via Deep Residual Equivariant Mapping
• Knowledge Adaptation for Efficient Semantic Segmentation
• Stable Tensor Neural Networks for Rapid Deep Learning
• Automatic localization and decoding of honeybee markers using deep convolutional neural networks
• MRI Tumor Segmentation with Densely Connected 3D CNN
• Agile Amulet: Real-Time Salient Object Detection with Contextual Attention
• Automated Quality Control of Vacuum Insulated Glazing by Convolutional Neural Network Image Classification
• End-to-end Concept Word Detection for Video Captioning, Retrieval, and Question Answering
• Take it in your stride: Do we need striding in CNNs?
• A survey of Object Classification and Detection based on 2D/3D data
• Using deep Residual Networks to search for galaxy-Lyα emitter lens candidates based on spectroscopic-selection
• Sketch-R2CNN: An Attentive Network for Vector Sketch Recognition
• Comparison of Deep learning models on time series forecasting : a case study of Dissolved Oxygen Prediction
• Unsupervised Learning of Monocular Depth Estimation with Bundle Adjustment, Super-Resolution and Clip Loss
• Star Cluster Classification using Deep Transfer Learning with PHANGS-HST
• Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images
• Suppressing the Unusual: towards Robust CNNs using Symmetric Activation Functions
• SemStyle: Learning to Generate Stylised Image Captions using Unaligned Text
• All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation
• Learning to Segment Instances in Videos with Spatial Propagation Network
• Learning Convolutional Networks for Content-weighted Image Compression
• Scene Graph Generation via Conditional Random Fields
• Semantic Compositional Networks for Visual Captioning
• Consensus-based Sequence Training for Video Captioning
• LabelBank: Revisiting Global Perspectives for Semantic Segmentation
• Temporal Non-Volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition
• Few-Shot Image Recognition by Predicting Parameters from Activations
• Characterizing and Improving Stability in Neural Style Transfer
• Learning Discriminative Motion Features Through Detection
• Unsupervised state representation learning with robotic priors: a robustness benchmark
• Efficient Execution of Quantized Deep Learning Models: A Compiler Approach
• Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization
• Tensorial Neural Networks: Generalization of Neural Networks and Application to Model Compression
• PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks
• Personalized Federated Deep Learning for Pain Estimation From Face Images
• Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation
• Towards Optimal Signal Extraction for Imaging X-ray Polarimetry
• A Pixel-Based Framework for Data-Driven Clothing
• Connecting optical morphology, environment, and HI mass fraction for low-redshift galaxies using deep learning
• Fast robust peg-in-hole insertion with continuous visual servoing
• Doubly Attentive Transformer Machine Translation
• Feature Enhancement Network: A Refined Scene Text Detector
• Generating Descriptions with Grounded and Co-Referenced People
• Where to Focus: Query Adaptive Matching for Instance Retrieval Using Convolutional Feature Maps
• Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes
• Improving Simple Models with Confidence Profiles
• Optimized Custom Dataset for Efficient Detection of Underwater Trash
• Learning Digital Camera Pipeline for Extreme Low-Light Imaging
• Materials property prediction using symmetry-labeled graphs as atomic-position independent descriptors
• Seeing Small Faces from Robust Anchor's Perspective
• Spec-ResNet: A General Audio Steganalysis scheme based on Deep Residual Network of Spectrogram
• Appliance Detection Using Very Low-Frequency Smart Meter Time Series
• Multi-Scale Deep Learning for Estimating Horizontal Velocity Fields on the Solar Surface
• Astroconformer: The Prospects of Analyzing Stellar Light Curves with Transformer-Based Deep Learning Models
• Attend to the Difference: Cross-Modality Person Re-identification via Contrastive Correlation
• The iNaturalist Species Classification and Detection Dataset
• Programmable Neural Network Trojan for Pre-Trained Feature Extractor
• Global Planar Convolutions for improved context aggregation in Brain Tumor Segmentation
• CTAP: Complementary Temporal Action Proposal Generation
• Learning to Evaluate Image Captioning
• Decoding Dark Matter Substructure without Supervision
• Monocular 3D Human Pose Estimation In The Wild Using Improved CNN Supervision
• Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation
• Graph-Based Global Reasoning Networks
• An Attempt towards Interpretable Audio-Visual Video Captioning
• FacePoseNet: Making a Case for Landmark-Free Face Alignment
• Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR
• Training Deeper Neural Machine Translation Models with Transparent Attention
• Breaking Batch Normalization for better explainability of Deep Neural Networks through Layer-wise Relevance Propagation
• Skeleton Key: Image Captioning by Skeleton-Attribute Decomposition
• Recognition Of Surface Defects On Steel Sheet Using Transfer Learning
• Scene Parsing with Global Context Embedding
• Towards Generalizable Surgical Activity Recognition Using Spatial Temporal Graph Convolutional Networks
• Single View Stereo Matching
• EraseReLU: A Simple Way to Ease the Training of Deep Convolution Neural Networks
• Art of singular vectors and universal adversarial perturbations
• Learning to Synthesize a 4D RGBD Light Field from a Single Image
• Instance Embedding Transfer to Unsupervised Video Object Segmentation
• A deep learning based solution for construction equipment detection: from development to deployment
• Scalable inference with Autoregressive Neural Ratio Estimation
• SuPer Deep: A Surgical Perception Framework for Robotic Tissue Manipulation using Deep Learning for Feature Extraction
• A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Information
• Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
• Rafiki: Machine Learning as an Analytics Service System
• Adaptive Semantic Segmentation with a Strategic Curriculum of Proxy Labels
• Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning
• PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image
• S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency
• Large Scale Language Modeling: Converging on 40GB of Text in Four Hours
• Measuring the Transferability of Adversarial Examples
• Fusion++: Volumetric Object-Level SLAM
• A Read-Write Memory Network for Movie Story Understanding
• KTAN: Knowledge Transfer Adversarial Network
• Iris and periocular recognition in arabian race horses using deep convolutional neural networks
• Learning to Segment Every Thing
• 3DB: A Framework for Debugging Computer Vision Models
• Privacy-Preserving Action Recognition for Smart Hospitals using Low-Resolution Depth Images
• Focal Loss based Residual Convolutional Neural Network for Speech Emotion Recognition
• Set-valued classification -- overview via a unified framework
• Triple consistency loss for pairing distributions in GAN-based face synthesis
• Deep Spatial Regression Model for Image Crowd Counting
• RMM: A Recursive Mental Model for Dialog Navigation
• Clickbait Identification using Neural Networks
• Correlated and Individual Multi-Modal Deep Learning for RGB-D Object Recognition
• Constrained CycleGAN for Effective Generation of Ultrasound Sector Images of Improved Spatial Resolution
• Bayesian Inference with Generative Adversarial Network Priors
• Single-Shot Object Detection with Enriched Semantics
• Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale
• Convolutional Random Walk Networks for Semantic Image Segmentation
• Unsupervised Learning from Continuous Video in a Scalable Predictive Recurrent Network
• AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching
• Deep Extreme Cut: From Extreme Points to Object Segmentation
• Learning Visual Knowledge Memory Networks for Visual Question Answering
• Automatic Diagnosis of Pneumothorax from Chest Radiographs: A Systematic Literature Review
• CNN-based Facial Affect Analysis on Mobile Devices
• To Share or Not To Share: A Comprehensive Appraisal of Weight-Sharing
• Learning to Extract a Video Sequence from a Single Motion-Blurred Image
• PolyTransform: Deep Polygon Transformer for Instance Segmentation
• A Revisit on Deep Hashings for Large-scale Content Based Image Retrieval
• AI-assisted super-resolution cosmological simulations III: Time evolution
• On Periodic Functions as Regularizers for Quantization of Neural Networks
• Tell-and-Answer: Towards Explainable Visual Question Answering using Attributes and Captions
• Dynamic backdoor attacks against federated learning
• ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond
• Prototype-based Neural Network Layers: Incorporating Vector Quantization
• Fair Comparison: Quantifying Variance in Resultsfor Fine-grained Visual Categorization
• An Empirical Analysis of the Impact of Data Augmentation on Knowledge Distillation
• Improved Part Segmentation Performance by Optimising Realism of Synthetic Images using Cycle Generative Adversarial Networks
• An Analysis of Scale Invariance in Object Detection - SNIP
• Tails: Chasing Comets with the Zwicky Transient Facility and Deep Learning
• Understanding Traffic Density from Large-Scale Web Camera Data
• Joint Prediction of Depths, Normals and Surface Curvature from RGB Images using CNNs
• ML-LBM: Machine Learning Aided Flow Simulation in Porous Media
• Learning Shape Priors for Single-View 3D Completion and Reconstruction
• Noise2Void - Learning Denoising from Single Noisy Images
• Vision Xformers: Efficient Attention for Image Classification
• Relation Networks for Optic Disc and Fovea Localization in Retinal Images
• Reconstruction of IACT events using deep learning techniques with CTLearn
• Spectral Feature Transformation for Person Re-identification
• Multi-scale Location-aware Kernel Representation for Object Detection
• A Multimodal Late Fusion Model for E-Commerce Product Classification
• NILMFormer: Non-Intrusive Load Monitoring that Accounts for Non-Stationarity
• Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs
• Skip-Clip: Self-Supervised Spatiotemporal Representation Learning by Future Clip Order Ranking
• Attend and Interact: Higher-Order Object Interactions for Video Understanding
• Learning to Navigate Using Mid-Level Visual Priors
• CROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers
• UTRNet: High-Resolution Urdu Text Recognition In Printed Documents
• Semi-Supervised Multitask Learning on Multispectral Satellite Images Using Wasserstein Generative Adversarial Networks (GANs) for Predicting Poverty
• Artificial Intelligence Assisted Inversion (AIAI) of Synthetic Type Ia Supernova Spectra
• TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
• Deep Heterogeneous Feature Fusion for Template-Based Face Recognition
• Image-based localization using LSTMs for structured feature correlation
• LCNN: Lookup-based Convolutional Neural Network
• Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network
• Modularized Morphing of Neural Networks
• CNN-based event classification for alpha-decay events in nuclear emulsion
• Deep learning the astrometric signature of dark matter substructure
• Coordinating Filters for Faster Deep Neural Networks
• AdvGAN++ : Harnessing latent layers for adversary generation
• Eformer: Edge Enhancement based Transformer for Medical Image Denoising
• Training with the Invisibles: Obfuscating Images to Share Safely for Learning Visual Recognition Models
• Spatial-Temporal Self-Attention Network for Flow Prediction
• Towards Robust RGB-D Human Mesh Recovery
• Pointwise Convolutional Neural Networks
• Combining Image Features and Patient Metadata to Enhance Transfer Learning
• LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking
• cGANs with Multi-Hinge Loss
• SRN: Side-output Residual Network for Object Symmetry Detection in the Wild
• InverseFaceNet: Deep Monocular Inverse Face Rendering
• An End-to-End Approach to Natural Language Object Retrieval via Context-Aware Deep Reinforcement Learning
• DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials)
• Weakly Supervised Attention Model for RV StrainClassification from volumetric CTPA Scans
• Underwater object detection using Invert Multi-Class Adaboost with deep learning
• Single-Shot Bidirectional Pyramid Networks for High-Quality Object Detection
• DSAC - Differentiable RANSAC for Camera Localization
• VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning Challenges
• Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation
• Iterative Deep Learning for Network Topology Extraction
• OffRoadTranSeg: Semi-Supervised Segmentation using Transformers on OffRoad environments
• Real-Time High-Resolution Background Matting
• Deep learning for detection of bird vocalisations
• Deep Restricted Boltzmann Networks
• Improved Stereo Matching with Constant Highway Networks and Reflective Confidence Learning
• Graph neural network for 3D classification of ambiguities and optical crosstalk in scintillator-based neutrino detectors
• Weakly-Supervised 3D Pose Estimation from a Single Image using Multi-View Consistency
• Detection of Einstein Telescope gravitational wave signals from binary black holes using deep learning
• Generative Partition Networks for Multi-Person Pose Estimation
• Gradient Scheduling with Global Momentum for Non-IID Data Distributed Asynchronous Training
• Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling
• NLP-CUET@DravidianLangTech-EACL2021: Investigating Visual and Textual Features to Identify Trolls from Multimodal Social Media Memes
• TIRAMISU: A Polyhedral Compiler for Dense and Sparse Deep Learning
• Deep Texture Manifold for Ground Terrain Recognition
• Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition
• MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation
• Signal Combination for Language Identification
• Weak-lensing Mass Reconstruction of Galaxy Clusters with Convolutional Neural Network
• Recurrent Localization Networks applied to the Lippmann-Schwinger Equation
• Robust Processing-In-Memory Neural Networks via Noise-Aware Normalization
• Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification
• Dual Path Networks for Multi-Person Human Pose Estimation
• Towards recognizing the light facet of the Higgs Boson
• SAWNet: A Spatially Aware Deep Neural Network for 3D Point Cloud Processing
• Joint Pruning & Quantization for Extremely Sparse Neural Networks
• An Efficient Transformer Decoder with Compressed Sub-layers
• Pose Guided Human Video Generation
• Domain Alignment with Triplets
• Scaling GRPC Tensorflow on 512 nodes of Cori Supercomputer
• Reconstruction of 3-D Atomic Distortions from Electron Microscopy with Deep Learning
• PhishGAN: Data Augmentation and Identification of Homoglpyh Attacks
• Occupancy Map Prediction Using Generative and Fully Convolutional Networks for Vehicle Navigation
• Neural networks with differentiable structure
• Compiling Deep Learning Models for Custom Hardware Accelerators
• A Generalised Signature Method for Multivariate Time Series Feature Extraction
• Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings
• How To Extract Fashion Trends From Social Media? A Robust Object Detector With Support For Unsupervised Learning
• Recurrent Filter Learning for Visual Tracking
• Image segmentation via Cellular Automata
• Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors
• Evaluating Transfer Learning for Simplifying GitHub READMEs
• 2D Image Relighting with Image-to-Image Translation
• DocVQA: A Dataset for VQA on Document Images
• Fetal Gender Identification using Machine and Deep Learning Algorithms on Phonocardiogram Signals
• OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold
• 3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images
• Deep Learning applied to Road Traffic Speed forecasting
• ActionFlowNet: Learning Motion Representation for Action Recognition
• Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems
• Semi-supervised Domain Adaptation based on Dual-level Domain Mixing for Semantic Segmentation
• Learning Visual Question Answering by Bootstrapping Hard Attention
• Semantic Segmentation for Partially Occluded Apple Trees Based on Deep Learning
• Learning a Discriminative Filter Bank within a CNN for Fine-grained Recognition
• Optimization Algorithm Inspired Deep Neural Network Structure Design
• Self-Supervised Feature Learning by Learning to Spot Artifacts
• Geometric robustness of deep networks: analysis and improvement
• DeepDeblur: Fast one-step blurry face images restoration
• Deep Feature Flow for Video Recognition
• Optimization of Artificial Neural Networks models applied to the identification of images of asteroids' resonant arguments
• Shape-from-Mask: A Deep Learning Based Human Body Shape Reconstruction from Binary Mask Images
• Exploring Corruption Robustness: Inductive Biases in Vision Transformers and MLP-Mixers
• Context-Aware Visual Compatibility Prediction
• A Continuous Convolutional Trainable Filter for Modelling Unstructured Data
• Comprehensive Evaluation of OpenCL-based Convolutional Neural Network Accelerators in Xilinx and Altera FPGAs
• An Empirical Exploration of Skip Connections for Sequential Tagging
• An LSTM-Based Dynamic Customer Model for Fashion Recommendation
• FairyTailor: A Multimodal Generative Framework for Storytelling
• Incremental Sequence Learning
• EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs
• RarePlanes: Synthetic Data Takes Flight
• OCoR: An Overlapping-Aware Code Retriever
• Channel-wise Hessian Aware trace-Weighted Quantization of Neural Networks
• Knowledge-based Radiation Treatment Planning: A Data-driven Method Survey
• Multimodal Memory Modelling for Video Captioning
• FOTS: Fast Oriented Text Spotting with a Unified Network
• Super-Resolution with Deep Adaptive Image Resampling
• Weaving Multi-scale Context for Single Shot Detector
• Deep learning for semantic segmentation of remote sensing images with rich spectral content
• SketchParse : Towards Rich Descriptions for Poorly Drawn Sketches using Multi-Task Hierarchical Deep Networks
• A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering Models
• Learning to Learn from Noisy Web Videos
• Gated Context Model with Embedded Priors for Deep Image Compression
• Learning Representations of Sets through Optimized Permutations
• Lightweight Convolutional Representations for On-Device Natural Language Processing
• Character-based NMT with Transformer
• FireNet: Real-time Segmentation of Fire Perimeter from Aerial Video
• SCREENet: A Multi-view Deep Convolutional Neural Network for Classification of High-resolution Synthetic Mammographic Screening Scans
• A(DP)${}^2$SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy
• Advances in Asynchronous Parallel and Distributed Optimization
• A deep learning theory for neural networks grounded in physics
• Efficient Palm-Line Segmentation with U-Net Context Fusion Module
• Scalable, End-to-End, Deep-Learning-Based Data Reconstruction Chain for Particle Imaging Detectors
• Evaluating Soccer Player: from Live Camera to Deep Reinforcement Learning
• Re-identification = Retrieval + Verification: Back to Essence and Forward with a New Metric
• Dual ResGCN for Balanced Scene GraphGeneration
• Conditional Extreme Value Theory for Open Set Video Domain Adaptation
• Foreground Removal of CO Intensity Mapping Using Deep Learning
• COVID-19 Detection in Chest X-ray Images Using Swin-Transformer and Transformer in Transformer
• Soft Calibration Objectives for Neural Networks
• Federated Noisy Client Learning
• Wise-SrNet: A Novel Architecture for Enhancing Image Classification by Learning Spatial Resolution of Feature Maps
• Transform and Tell: Entity-Aware News Image Captioning
• Benanza: Automatic $\mu$Benchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs
• Timage -- A Robust Time Series Classification Pipeline
• Transformable Bottleneck Networks
• Unsupervised Single Image Deraining with Self-supervised Constraints
• Efficient Coarse-to-Fine Non-Local Module for the Detection of Small Objects
• Orders-of-magnitude speedup in atmospheric chemistry modeling through neural network-based emulation
• Detecting Cyberattacks in Industrial Control Systems Using Convolutional Neural Networks
• A Simple Cache Model for Image Recognition
• Question Type Guided Attention in Visual Question Answering
• TOM-Net: Learning Transparent Object Matting from a Single Image
• Training Neural Networks by Using Power Linear Units (PoLUs)
• Self-Supervised Relative Depth Learning for Urban Scene Understanding
• Aesthetic-Driven Image Enhancement by Adversarial Learning
• Building Emotional Machines: Recognizing Image Emotions through Deep Neural Networks
• Deep Blind Image Inpainting
• Towards Understanding the Data Dependency of Mixup-style Training
• Deep Quantization: Encoding Convolutional Activations with Deep Generative Model
• Dense Recurrent Neural Networks for Scene Labeling
• AVA: Adversarial Vignetting Attack against Visual Recognition
• Cosmic Background Removal with Deep Neural Networks in SBND
• Fast Neural Architecture Construction using EnvelopeNets
• Robust Face Detection via Learning Small Faces on Hard Images
• ResFPN: Residual Skip Connections in Multi-Resolution Feature Pyramid Networks for Accurate Dense Pixel Matching
• Rock Classification in Petrographic Thin Section Images Based on Concatenated Convolutional Neural Networks
• DeepGalaxy: Deducing the Properties of Galaxy Mergers from Images Using Deep Neural Networks
• Dual-Glance Model for Deciphering Social Relationships
• Privacy-preserving medical image analysis
• Can we cover navigational perception needs of the visually impaired by panoptic segmentation?
• Railway Anomaly detection model using synthetic defect images generated by CycleGAN
• HateProof: Are Hateful Meme Detection Systems really Robust?
• Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR
• Inferring Cosmic String Tension through the Neural Network Prediction of String Locations in CMB Maps
• Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer
• A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation
• Transfer entropy-based feedback improves performance in artificial neural networks
• Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark
• LaSO: Label-Set Operations networks for multi-label few-shot learning
• Deep Class Aware Denoising
• Statistically Motivated Second Order Pooling
• UC Merced Submission to the ActivityNet Challenge 2016
• Training Keyword Spotters with Limited and Synthesized Speech Data
• Language-Driven Image Style Transfer
• ToyArchitecture: Unsupervised Learning of Interpretable Models of the World
• Automatic Liver Segmentation from CT Images Using Deep Learning Algorithms: A Comparative Study
• Deep neural network ensemble by data augmentation and bagging for skin lesion classification
• On transfer learning using a MAC model variant
• A Generalized Network for MRI Intensity Normalization
• Neither Private Nor Fair: Impact of Data Imbalance on Utility and Fairness in Differential Privacy
• To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference
• DAF:re: A Challenging, Crowd-Sourced, Large-Scale, Long-Tailed Dataset For Anime Character Recognition
• Truth or Backpropaganda? An Empirical Investigation of Deep Learning Theory
• Between-class Learning for Image Classification
• Convolutional Regression for Visual Tracking
• Imprinto: Enhancing Infrared Inkjet Watermarking for Human and Machine Perception
• Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training
• An Empirical Evaluation of Adversarial Robustness under Transfer Learning
• Crowd Transformer Network
• Convolution Aware Initialization
• The Phonexia VoxCeleb Speaker Recognition Challenge 2021 System Description
• Predicting bulge to total luminosity ratio of galaxies using deep learning
• Do Normalization Layers in a Deep ConvNet Really Need to Be Distinct?
• ModuleNet: Knowledge-inherited Neural Architecture Search
• Deep driven fMRI decoding of visual categories
• COLD: Concurrent Loads Disaggregator for Non-Intrusive Load Monitoring
• Zero-Resource Neural Machine Translation with Multi-Agent Communication Game
• Trade-offs in Top-k Classification Accuracies on Losses for Deep Learning
• Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
• Deep Dose Plugin Towards Real-time Monte Carlo Dose Calculation Through a Deep Learning based Denoising Algorithm
• DenseImage Network: Video Spatial-Temporal Evolution Encoding and Understanding
• Self-labeled Conditional GANs
• Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals
• Deep Stacked Networks with Residual Polishing for Image Inpainting
• A Theory of Multiple-Source Adaptation with Limited Target Labeled Data
• Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations
• GradSign: Model Performance Inference with Theoretical Insights
• Towards Structured Analysis of Broadcast Badminton Videos
• Phonology Recognition in American Sign Language
• Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation
• Deep Learning for Metagenomic Data: using 2D Embeddings and Convolutional Neural Networks
• Towards High Performance Video Object Detection
• DeepSkeleton: Skeleton Map for 3D Human Pose Regression
• A Machine Learning Approach to Correcting Atmospheric Seeing in Solar Flare Observations
• Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier Examples
• YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection
• Learning 3D Shapes as Multi-Layered Height-maps using 2D Convolutional Networks
• Demystifying the MLPerf Benchmark Suite
• End-to-End Deep Kronecker-Product Matching for Person Re-identification
• SegStereo: Exploiting Semantic Information for Disparity Estimation
• Domain-Specific Priors and Meta Learning for Few-Shot First-Person Action Recognition
• Learning Frequency-aware Dynamic Network for Efficient Super-Resolution
• Neural Network Training as an Optimal Control Problem: An Augmented Lagrangian Approach
• Towards large-scale, automated, accurate detection of CCTV camera objects using computer vision. Applications and implications for privacy, safety, and cybersecurity. (Preprint)
• Joint Discovery of Object States and Manipulation Actions
• Tearing Down the Memory Wall
• Visual Forecasting by Imitating Dynamics in Natural Sequences
• Imitating Targets from all sides: An Unsupervised Transfer Learning method for Person Re-identification
• Do Vision Models Encode Object-Level Semantic Relatedness? A Cognitive Psychology-Inspired Benchmark
• RILOD: Near Real-Time Incremental Learning for Object Detection at the Edge
• FaceSpoof Buster: a Presentation Attack Detector Based on Intrinsic Image Properties and Deep Learning
• Rethinking Training from Scratch for Object Detection
• A flexible FPGA accelerator for convolutional neural networks
• UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition
• Local Deep Implicit Functions for 3D Shape
• Beyond Forward Shortcuts: Fully Convolutional Master-Slave Networks (MSNets) with Backward Skip Connections for Semantic Segmentation
• SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning
• Video Frame Interpolation by Plug-and-Play Deep Locally Linear Embedding
• Irregular Convolutional Neural Networks
• toon2real: Translating Cartoon Images to Realistic Images
• Pano2CAD: Room Layout From A Single Panorama Image
• One-Shot Speaker Identification for a Service Robot using a CNN-based Generic Verifier
• EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization
• Diagnosing Error in Temporal Action Detectors
• Semi-supervised Skin Detection by Network with Mutual Guidance
• How to Make a BLT Sandwich? Learning to Reason towards Understanding Web Instructional Videos
• A morphological segmentation approach to determining bar lengths
• ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series
• Fast Spectral Ranking for Similarity Search
• BusyHands: A Hand-Tool Interaction Database for Assembly Tasks Semantic Segmentation
• Deep neural network for solving differential equations motivated by Legendre-Galerkin approximation
• Learning Inertial Odometry for Dynamic Legged Robot State Estimation
• Training Deep Neural Networks Without Batch Normalization
• Theano-MPI: a Theano-based Distributed Training Framework
• Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation
• Noisy Computations during Inference: Harmful or Helpful?
• Simulating Personal Food Consumption Patterns using a Modified Markov Chain
• Biased Bytes: On the Validity of Estimating Food Consumption from Digital Traces
• MotionSqueeze: Neural Motion Feature Learning for Video Understanding
• Scene Understanding Networks for Autonomous Driving based on Around View Monitoring System
• Deep Residual Network for Joint Demosaicing and Super-Resolution
• Video Object Segmentation with Joint Re-identification and Attention-Aware Mask Propagation
• Extension of Direct Feedback Alignment to Convolutional and Recurrent Neural Network for Bio-plausible Deep Learning
• Inter-Patient ECG Classification with Convolutional and Recurrent Neural Networks
• Assessing Intelligence in Artificial Neural Networks
• CNN Acceleration by Low-rank Approximation with Quantized Factors
• HyPar-Flow: Exploiting MPI and Keras for Scalable Hybrid-Parallel DNN Training using TensorFlow
• 3D Object Detection From LiDAR Data Using Distance Dependent Feature Extraction
• Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation
• Food Ingredients Recognition through Multi-label Learning
• Towards Zero-shot Cross-lingual Image Retrieval and Tagging
• Doubly Nested Network for Resource-Efficient Inference
• MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning
• Measuring Fairness in Generative Models
• Dual Encoder Fusion U-Net (DEFU-Net) for Cross-manufacturer Chest X-ray Segmentation
• Convolutional Neural Network Interpretability with General Pattern Theory
• A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness
• Facilitating Access to Multilingual COVID-19 Information via Neural Machine Translation
• Active Perception for Ambiguous Objects Classification
• Matrix and tensor decompositions for training binary neural networks
• An Effective Pipeline for a Real-world Clothes Retrieval System
• Why Do Deep Neural Networks Still Not Recognize These Images?: A Qualitative Analysis on Failure Cases of ImageNet Classification
• Darker than Black-Box: Face Reconstruction from Similarity Queries
• Elastic Gossip: Distributing Neural Network Training Using Gossip-like Protocols
• Measuring the Substructure Mass Power Spectrum of 23 SLACS Strong Galaxy-Galaxy Lenses with Convolutional Neural Networks
• The Evolution of Neural Network-Based Chart Patterns: A Preliminary Study
• fruit-SALAD: A Style Aligned Artwork Dataset to reveal similarity perception in image embeddings
• Residual Frames with Efficient Pseudo-3D CNN for Human Action Recognition
• HySTER: A Hybrid Spatio-Temporal Event Reasoner
• OAH-Net: A Deep Neural Network for Hologram Reconstruction of Off-axis Digital Holographic Microscope
• CNN aided Weighted Interpolation for Channel Estimation in Vehicular Communications
• A Cascaded Residual UNET for Fully Automated Segmentation of Prostate and Peripheral Zone in T2-weighted 3D Fast Spin Echo Images
• Beyond Trade-off: Accelerate FCN-based Face Detector with Higher Accuracy
• Application-Driven Near-Data Processing for Similarity Search
• Predicting Localized Primordial Star Formation with Deep Convolutional Neural Networks
• Low-Cost Parameterizations of Deep Convolutional Neural Networks
• Towards Label-Free 3D Segmentation of Optical Coherence Tomography Images of the Optic Nerve Head Using Deep Learning
• Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning
• Neural Language Priors
• 3D-DETNet: a Single Stage Video-Based Vehicle Detector
• Towards Human-Machine Cooperation: Self-supervised Sample Mining for Object Detection
• Deep Flow-Guided Video Inpainting
• Learning to Support: Exploiting Structure Information in Support Sets for One-Shot Learning
• Unsupervised Domain Adaptation for Spatio-Temporal Action Localization
• Unified Generator-Classifier for Efficient Zero-Shot Learning
• Compression of Deep Neural Networks for Image Instance Retrieval
• Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification
• Deep Network Interpolation for Continuous Imagery Effect Transition
• Extreme 3D Face Reconstruction: Seeing Through Occlusions
• SeGAN: Segmenting and Generating the Invisible
• Flexible and Scalable Deep Learning with MMLSpark
• DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency
• Semi-Supervised Noisy Student Pre-training on EfficientNet Architectures for Plant Pathology Classification
• Constraint Solving with Deep Learning for Symbolic Execution
• Identifying Most Walkable Direction for Navigation in an Outdoor Environment
• Deep-learning-based identification of odontogenic keratocysts in hematoxylin- and eosin-stained jaw cyst specimens
• EdgeSegNet: A Compact Network for Semantic Segmentation
• Multi-domain semantic segmentation with pyramidal fusion
• DelugeNets: Deep Networks with Efficient and Flexible Cross-layer Information Inflows
• A Multi-view RGB-D Approach for Human Pose Estimation in Operating Rooms
• Evolving Deep Neural Networks by Multi-objective Particle Swarm Optimization for Image Classification
• A $W^{\pm }$ polarization analyzer from Deep Neural Networks
• Multi-Expert Gender Classification on Age Group by Integrating Deep Neural Networks
• Visualizing the decision-making process in deep neural decision forest
• OkwuGbé: End-to-End Speech Recognition for Fon and Igbo
• Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges
• Structure Learning of Deep Networks via DNA Computing Algorithm
• FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image
• MHAttnSurv: Multi-Head Attention for Survival Prediction Using Whole-Slide Pathology Images
• LDMNet: Low Dimensional Manifold Regularized Neural Networks
• Hardware Acceleration of Explainable Machine Learning using Tensor Processing Units
• TACo: Token-aware Cascade Contrastive Learning for Video-Text Alignment
• Classifying CMB time-ordered data through deep neural networks
• Unsupervised Video Depth Estimation Based on Ego-motion and Disparity Consensus
• Unconstrained optimisation on Riemannian manifolds
• Gradient Information Guided Deraining with A Novel Network and Adversarial Training
• Spontaneous Symmetry Breaking in Neural Networks
• EfficientHRNet: Efficient Scaling for Lightweight High-Resolution Multi-Person Pose Estimation
• Energy-efficient Amortized Inference with Cascaded Deep Classifiers
• How to train accurate BNNs for embedded systems?
• Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics
• Cluster Analysis with Deep Embeddings and Contrastive Learning
• Real-time regression analysis with deep convolutional neural networks
• Loss Barcode: A Topological Measure of Escapability in Loss Landscapes
• Face Aging with Contextual Generative Adversarial Nets
• Exponential Moving Average Model in Parallel Speech Recognition Training
• Cost-Effective Training of Deep CNNs with Active Model Adaptation
• Low-Latency Video Semantic Segmentation
• Grounding inductive biases in natural images:invariance stems from variations in data
• Classification of simulated radio signals using Wide Residual Networks for use in the search for extra-terrestrial intelligence
• AI4AI: Quantitative Methods for Classifying Host Species from Avian Influenza DNA Sequence
• A Self-supervised Approach for Adversarial Robustness
• TensorFlow with user friendly Graphical Framework for object detection API
• Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation
• StarMap for Category-Agnostic Keypoint and Viewpoint Estimation
• A model for interpreting social interactions in local image regions
• Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation
• Search to Distill: Pearls are Everywhere but not the Eyes
• Frustum VoxNet for 3D object detection from RGB-D or Depth images
• Synthetic Unknown Class Learning for Learning Unknowns
• Three-Stream Convolutional Networks for Video-based Person Re-Identification
• Neural Style Representations and the Large-Scale Classification of Artistic Style
• Efficient Training of Convolutional Neural Nets on Large Distributed Systems
• Learnable Adaptive Cosine Estimator (LACE) for Image Classification
• Generating Nontrivial Melodies for Music as a Service
• Fast Marching Energy CNN
• Face Recognition in Unconstrained Conditions: A Systematic Review
• Modular Learning Component Attacks: Today's Reality, Tomorrow's Challenge
• Design Environment of Quantization-Aware Edge AI Hardware for Few-Shot Learning
• Weight Map Layer for Noise and Adversarial Attack Robustness
• Tracking Without Re-recognition in Humans and Machines
• SurfConv: Bridging 3D and 2D Convolution for RGBD Images
• Pedestrian Detection with Autoregressive Network Phases
• A Deep Multi-task Learning Approach to Skin Lesion Classification
• Detecting Pulsars with Neural Networks: A Proof of Concept
• Estimating Atmospheric Parameters of DA White Dwarf Stars with Deep Learning
• Table-Based Neural Units: Fully Quantizing Networks for Multiply-Free Inference
• Malaria detection from RBC images using shallow Convolutional Neural Networks
• Knowledge Distillation via Instance-level Sequence Learning
• Type-Driven Automated Learning with Lale
• Learning Visual Representations for Transfer Learning by Suppressing Texture
• Efficient Realistic Data Generation Framework leveraging Deep Learning-based Human Digitization
• A study on using image based machine learning methods to develop the surrogate models of stamp forming simulations
• VommaNet: an End-to-End Network for Disparity Estimation from Reflective and Texture-less Light Field Images
• Recognizing bird species in diverse soundscapes under weak supervision
• AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge
• CSMCNet: Scalable Video Compressive Sensing Reconstruction with Interpretable Motion Estimation
• Widget Captioning: Generating Natural Language Description for Mobile User Interface Elements
• FaceShapeGene: A Disentangled Shape Representation for Flexible Face Image Editing
• Guided Proofreading of Automatic Segmentations for Connectomics
• DeepGeo: Photo Localization with Deep Neural Network
• Spatial Memory for Context Reasoning in Object Detection
• Improving Sentence Representations with Consensus Maximisation
• Learning Disentangled Representations of Satellite Image Time Series
• A Deep Learning Approach to the Inversion of Borehole Resistivity Measurements
• iShape: A First Step Towards Irregular Shape Instance Segmentation
• Investigating Transfer Learning Capabilities of Vision Transformers and CNNs by Fine-Tuning a Single Trainable Block
• In Defense of the Classification Loss for Person Re-Identification
• MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems
• Predicting the dynamics of 2d objects with a deep residual network
• Weighted Empirical Risk Minimization: Sample Selection Bias Correction based on Importance Sampling
• Representation Transfer by Optimal Transport
• Lossless Compression of Mosaic Images with Convolutional Neural Network Prediction
• Gradually Updated Neural Networks for Large-Scale Image Recognition
• An Audio-Video Deep and Transfer Learning Framework for Multimodal Emotion Recognition in the wild
• Towards Trainable Saliency Maps in Medical Imaging
• Ultrasound Diagnosis of COVID-19: Robustness and Explainability
• AON: Towards Arbitrarily-Oriented Text Recognition
• A Singular Value Perspective on Model Robustness
• Ignition: An End-to-End Supervised Model for Training Simulated Self-Driving Vehicles
• Benchmarking Inference Performance of Deep Learning Models on Analog Devices
• An Effective Hit-or-Miss Layer Favoring Feature Interpretation as Learned Prototypes Deformations
• Hierarchical Representation Network for Steganalysis of QIM Steganography in Low-Bit-Rate Speech Signals
• Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos
• Giving Commands to a Self-driving Car: A Multimodal Reasoner for Visual Grounding
• Enhanced Object Detection via Fusion With Prior Beliefs from Image Classification
• NWT: Towards natural audio-to-video generation with representation learning
• Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching
• ArchNet: Data Hiding Model in Distributed Machine Learning System
• Imaginative Walks: Generative Random Walk Deviation Loss for Improved Unseen Learning Representation
• SuperNet -- An efficient method of neural networks ensembling
• Deep CSI Learning for Gait Biometric Sensing and Recognition
• Towards Collaborative Intelligence Friendly Architectures for Deep Learning
• Classifying Tweet Sentiment Using the Hidden State and Attention Matrix of a Fine-tuned BERTweet Model
• Probabilistic Oriented Object Detection in Automotive Radar
• Physical Primitive Decomposition
• A 3D CNN Network with BERT For Automatic COVID-19 Diagnosis From CT-Scan Images
• Deep Frame Interpolation
• Optimizing Deep Neural Networks with Multiple Search Neuroevolution
• Learning image from projection: a full-automatic reconstruction (FAR) net for sparse-views computed tomography
• An Artificial Intelligence-Driven Agent for Real-Time Head-and-Neck IMRT Plan Generation using Conditional Generative Adversarial Network (cGAN)
• Click Here: Human-Localized Keypoints as Guidance for Viewpoint Estimation
• Meta-Learning Bidirectional Update Rules
• Evaluating Text-to-Image Matching using Binary Image Selection (BISON)
• Is a Picture Worth Ten Thousand Words in a Review Dataset?
• Multi-Plateau Ensemble for Endoscopic Artefact Segmentation and Detection
• Empirical Analysis of Image Caption Generation using Deep Learning
• An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning
• Defective samples simulation through Neural Style Transfer for automatic surface defect segment
• Generative-Discriminative Complementary Learning
• End-to-end learning potentials for structured attribute prediction
• Learning On-Road Visual Control for Self-Driving Vehicles with Auxiliary Tasks
• Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuant
• NavigationNet: A Large-scale Interactive Indoor Navigation Dataset
• cuConv: A CUDA Implementation of Convolution for CNN Inference
• Go with the Flow: Adaptive Control for Neural ODEs
• Large, fast and accurate HI intensity maps with latent overlap diffusion
• Fast and Accurate Online Video Object Segmentation via Tracking Parts
• Dendron: Enhancing Human Activity Recognition with On-Device TinyML Learning
• Scalable Metric Learning via Weighted Approximate Rank Component Analysis
• "What happens if..." Learning to Predict the Effect of Forces in Images
• Real-Time Cell Sorting with Scalable In Situ FPGA-Accelerated Deep Learning
• Class Subset Selection for Transfer Learning using Submodularity
• Incremental Learning in Person Re-Identification
• Dynamic Video Segmentation Network
• DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification
• High-speed Railway Fastener Detection and Localization Method based on convolutional neural network
• Instance Scale Normalization for image understanding
• Geometrically Enriched Latent Spaces
• CrescendoNet: A Simple Deep Convolutional Neural Network with Ensemble Behavior
• Deep unsupervised domain adaptation applied to the Cherenkov Telescope Array Large-Sized Telescope
• Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approach
• Investigation of a Machine learning methodology for the SKA pulsar search pipeline
• Deep Imbalanced Attribute Classification using Visual Attention Aggregation
• MULE: Multimodal Universal Language Embedding
• Single Image Depth Estimation Trained via Depth from Defocus Cues
• Clothing Retrieval with Visual Attention Model
• Functional Error Correction for Robust Neural Networks
• Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning
• Spatially-Adaptive Filter Units for Deep Neural Networks
• MLPerf Mobile Inference Benchmark
• Experimental Demonstration of Learned Time-Domain Digital Back-Propagation
• Deep Consensus Learning
• First-Order Preconditioning via Hypergradient Descent
• Single Sample Feature Importance: An Interpretable Algorithm for Low-Level Feature Analysis
• Hunt for dark subhalos in the galactic stellar field using computer vision
• BENCHIP: Benchmarking Intelligence Processors
• Where Should We Begin? A Low-Level Exploration of Weight Initialization Impact on Quantized Behaviour of Deep Neural Networks
• Looking for change? Roll the Dice and demand Attention
• Adaptive Leader-Follower Formation Control and Obstacle Avoidance via Deep Reinforcement Learning
• Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance
• Learning Spatial-Semantic Context with Fully Convolutional Recurrent Network for Online Handwritten Chinese Text Recognition
• Deep Transfer Learning with Ridge Regression
• On Improving Temporal Consistency for Online Face Liveness Detection
• Ensemble Transfer Learning for Emergency Landing Field Identification on Moderate Resource Heterogeneous Kubernetes Cluster
• MPDCompress - Matrix Permutation Decomposition Algorithm for Deep Neural Network Compression
• Quality-Aware Network for Human Parsing
• PoseGAN: A Pose-to-Image Translation Framework for Camera Localization
• Comparing the costs of abstraction for DL frameworks
• Recommending Outfits from Personal Closet
• Propagated Perturbation of Adversarial Attack for well-known CNNs: Empirical Study and its Explanation
• Learning View Priors for Single-view 3D Reconstruction
• Towards DeepSentinel: An extensible corpus of labelled Sentinel-1 and -2 imagery and a general-purpose sensor-fusion semantic embedding model
• Trying Bilinear Pooling in Video-QA
• NASIB: Neural Architecture Search withIn Budget
• El-CID: A filter for Gravitational-wave Electromagnetic Counterpart Identification
• Vehicle Re-identification Method Based on Vehicle Attribute and Mutual Exclusion Between Cameras
• Aug3D-RPN: Improving Monocular 3D Object Detection by Synthetic Images with Virtual Depth
• Energy Propagation in Deep Convolutional Neural Networks
• MinMaxCAM: Improving object coverage for CAM-basedWeakly Supervised Object Localization
• SAM-GCNN: A Gated Convolutional Neural Network with Segment-Level Attention Mechanism for Home Activity Monitoring
• Deconfusing intensity maps with neural networks
• Few-Shot Object Recognition from Machine-Labeled Web Images
• One-class Steel Detector Using Patch GAN Discriminator for Visualising Anomalous Feature Map
• Difficulty Translation in Histopathology Images
• YUVMultiNet: Real-time YUV multi-task CNN for autonomous driving
• Exploring Vision Transformers for Fine-grained Classification
• Meta-Cal: Well-controlled Post-hoc Calibration by Ranking
• Bespoke vs. Prêt-à-Porter Lottery Tickets: Exploiting Mask Similarity for Trainable Sub-Network Finding
• Real-time Burst Photo Selection Using a Light-Head Adversarial Network
• Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation
• Dense xUnit Networks
• WaveletNet: Logarithmic Scale Efficient Convolutional Neural Networks for Edge Devices
• Key Frame Proposal Network for Efficient Pose Estimation in Videos
• The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions
• Hybrid graph convolutional neural networks for landmark-based anatomical segmentation
• Model Optimization for Deep Space Exploration via Simulators and Deep Learning
• Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping
• Grounded Video Description
• From Deep to Shallow: Transformations of Deep Rectifier Networks
• Compression Fractures Detection on CT
• Gear Training: A new way to implement high-performance model-parallel training
• A comparison of deep machine learning algorithms in COVID-19 disease diagnosis
• A Simple and Interpretable Predictive Model for Healthcare
• Stochastic Gradient Variance Reduction by Solving a Filtering Problem
• Improving compute efficacy frontiers with SliceOut
• Augmentation Inside the Network
• Reliable Label Bootstrapping for Semi-Supervised Learning
• A Machine-Learning Method for Time-Dependent Wave Equations over Unbounded Domains
• Feudal Steering: Hierarchical Learning for Steering Angle Prediction
• Adversarially Robust Kernel Smoothing
• Unsupervised Continual Learning Via Pseudo Labels
• Deep Learning: Our Miraculous Year 1990-1991
• D-OccNet: Detailed 3D Reconstruction Using Cross-Domain Learning
• DEPARA: Deep Attribution Graph for Deep Knowledge Transferability
• Improving Convolutional Neural Networks Via Conservative Field Regularisation and Integration
• Lenses In VoicE (LIVE): Searching for strong gravitational lenses in the VOICE@VST survey using Convolutional Neural Networks
• Multimodal Data Fusion based on the Global Workspace Theory
• C-DLinkNet: considering multi-level semantic features for human parsing
• Fine-grained Image-to-Image Transformation towards Visual Recognition
• ADNet: Leveraging Error-Bias Towards Normal Direction in Face Alignment
• What augmentations are sensitive to hyper-parameters and why?
• Cross-Channel Intragroup Sparsity Neural Network
• BPPSA: Scaling Back-propagation by Parallel Scan Algorithm
• Filter Bank Regularization of Convolutional Neural Networks
• Kilonova Light Curve Parameter Estimation Using Likelihood-Free Inference
• Latent Sensor Fusion: Multimedia Learning of Physiological Signals for Resource-Constrained Devices
• On Spectral Properties of Gradient-based Explanation Methods
• Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis
• Sex Detection in the Early Stage of Fertilized Chicken Eggs via Image Recognition
• Structured 2D Representation of 3D Data for Shape Processing
• Lift-the-flap: what, where and when for context reasoning
• Using Early-Learning Regularization to Classify Real-World Noisy Data
• Regularized Ensembles and Transferability in Adversarial Learning
• Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization
• Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization
• D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
• Orthogonal-Padé Activation Functions: Trainable Activation functions for smooth and faster convergence in deep networks
• Augmented KRnet for density estimation and approximation
• ChainGAN: A sequential approach to GANs
• Semantic Image Cropping
• Will Multi-modal Data Improves Few-shot Learning?
• Scene Parsing via Dense Recurrent Neural Networks with Attentional Selection
• Retinal Microvasculature as Biomarker for Diabetes and Cardiovascular Diseases
• Deep Learning At Scale and At Ease
• Semantic Segmentation and Object Detection Towards Instance Segmentation: Breast Tumor Identification
• The Method of Multimodal MRI Brain Image Segmentation Based on Differential Geometric Features
• Machine Translation between Vietnamese and English: an Empirical Study
• Effectiveness of Deep Networks in NLP using BiDAF as an example architecture
• Semantic Segmentation on VSPW Dataset through Aggregation of Transformer Models
• Learnable Pooling Methods for Video Classification
• Multiple Myeloma Cancer Cell Instance Segmentation
• Dense neural networks as sparse graphs and the lightning initialization
• VTAMIQ: Transformers for Attention Modulated Image Quality Assessment
• Disturbing Target Values for Neural Network Regularization
• Evaluation of Neural Networks for Image Recognition Applications: Designing a 0-1 MILP Model of a CNN to create adversarials
• Protecting Anonymous Speech: A Generative Adversarial Network Methodology for Removing Stylistic Indicators in Text
• Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation
• Smart Device based Initial Movement Detection of Cyclists using Convolutional Neuronal Networks
• LogAvgExp Provides a Principled and Performant Global Pooling Operator
• Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model
• Fully convolutional Siamese neural networks for buildings damage assessment from satellite images
• Unifying Identification and Context Learning for Person Recognition
• Convolution in Convolution for Network in Network
• Foresee: Attentive Future Projections of Chaotic Road Environments with Online Training
• Doping: A technique for efficient compression of LSTM models using sparse structured additive matrices
• The Effects of Image Distribution and Task on Adversarial Robustness
• A Neural Embeddings Approach for Detecting Mobile Counterfeit Apps
• A Sketch-Based Neural Model for Generating Commit Messages from Diffs
• Writing in The Air: Unconstrained Text Recognition from Finger Movement Using Spatio-Temporal Convolution
• Automatic Latent Fingerprint Segmentation
• Deep Collaborative Learning for Visual Recognition
• Decoupled Gradient Harmonized Detector for Partial Annotation: Application to Signet Ring Cell Detection
• Joint Spatial-Temporal Optimization for Stereo 3D Object Tracking
• Intensity Non-uniformity Correction in MR Imaging Using Residual Cycle Generative Adversarial Network
• In-Vehicle Object Detection in the Wild for Driverless Vehicles
• Model Agnostic Combination for Ensemble Learning
• Amended Cross Entropy Cost: Framework For Explicit Diversity Encouragement
• Non-Markov Policies to Reduce Sequential Failures in Robot Bin Picking
• Unsupervised Learning of Solutions to Differential Equations with Generative Adversarial Networks
• Deep Learning with Apache SystemML
• Detecting abnormal events in video using Narrowed Normality Clusters
• A general approach to bridge the reality-gap
• Enforcing Reasoning in Visual Commonsense Reasoning
• Towards thinner convolutional neural networks through Gradually Global Pruning
• TraffickCam: Explainable Image Matching For Sex Trafficking Investigations
• Incorporating Textual Evidence in Visual Storytelling
• Privacy for Rescue: A New Testimony Why Privacy is Vulnerable In Deep Models
• Adaptive Loss Function for Super Resolution Neural Networks Using Convex Optimization Techniques
• NeuroFabric: Identifying Ideal Topologies for Training A Priori Sparse Networks
• Adversarial training applied to Convolutional Neural Network for photometric redshift predictions
• Deep Shape Matching
• FA-RPN: Floating Region Proposals for Face Detection
• Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning
• Skeleton Transformer Networks: 3D Human Pose and Skinned Mesh from Single RGB Image
• Scalable and Effective Deep CCA via Soft Decorrelation
• Learning scale-variant and scale-invariant features for deep image classification
• A Push-Pull Layer Improves Robustness of Convolutional Neural Networks
• A Generative Map for Image-based Camera Localization
• Manifestation of Image Contrast in Deep Networks
• Human Activity Recognition for Edge Devices
• Boosted Attention: Leveraging Human Attention for Image Captioning
• Exploring epoch-dependent stochastic residual networks
• Deep Contextual Recurrent Residual Networks for Scene Labeling
• Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identification
• Position-Aware Convolutional Networks for Traffic Prediction
• Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization
• ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information
• Beyond Planar Symmetry: Modeling human perception of reflection and rotation symmetries in the wild
• Positional Artefacts Propagate Through Masked Language Model Embeddings
• YouTube-8M Video Understanding Challenge Approach and Applications
• Recurrent 3D Pose Sequence Machines
• High Efficient Reconstruction of Single-shot T2 Mapping from OverLapping-Echo Detachment Planar Imaging Based on Deep Residual Network
• BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning
• Feature Selective Networks for Object Detection
• Multi-Mode Inference Engine for Convolutional Neural Networks
• Visual Data Augmentation through Learning
• Deep, Dense, and Low-Rank Gaussian Conditional Random Fields
• TLGAN: document Text Localization using Generative Adversarial Nets
• Audiomer: A Convolutional Transformer For Keyword Spotting
• A Simple Riemannian Manifold Network for Image Set Classification
• Autoencoding Undirected Molecular Graphs With Neural Networks
• LiDAR-based Recurrent 3D Semantic Segmentation with Temporal Memory Alignment
• BEDS: Bagging ensemble deep segmentation for nucleus segmentation with testing stage stain augmentation
• Population Gradients improve performance across data-sets and architectures in object classification
• Hardware-efficient Residual Networks for FPGAs
• Rethinking Radiology: An Analysis of Different Approaches to BraTS
• VideoClick: Video Object Segmentation with a Single Click
• RethNet: Object-by-Object Learning for Detecting Facial Skin Problems
• Bayesian neural network with pretrained protein embedding enhances prediction accuracy of drug-protein interaction
• Diagnosis of Pediatric Obstructive Sleep Apnea via Face Classification with Persistent Homology and Convolutional Neural Networks
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• Searches for Compact Binary Coalescence Events Using Neural Networks in LIGO/Virgo Third Observation Period
• Image to Video Domain Adaptation Using Web Supervision
• DeepWheat: Estimating Phenotypic Traits from Crop Images with Deep Learning
• Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold
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• Recognition of Russian traffic signs in winter conditions. Solutions of the "Ice Vision" competition winners
• Depth Without the Magic: Inductive Bias of Natural Gradient Descent
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• Hybrid BYOL-ViT: Efficient approach to deal with small datasets
• Exploiting Nontrivial Connectivity for Automatic Speech Recognition
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• FHEDN: A based on context modeling Feature Hierarchy Encoder-Decoder Network for face detection
• A Free Lunch in Generating Datasets: Building a VQG and VQA System with Attention and Humans in the Loop
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• Recurrent Residual Module for Fast Inference in Videos
• Error Control and Loss Functions for the Deep Learning Inversion of Borehole Resistivity Measurements
• Exponential Discriminative Metric Embedding in Deep Learning
• On Intrinsic Dataset Properties for Adversarial Machine Learning
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• PrototypeML: A Neural Network Integrated Design and Development Environment
• A Multi-Modal Approach to Infer Image Affect
• Efficient Embedding of MPI Collectives in MXNET DAGs for scaling Deep Learning
• Learning Atomic Multipoles: Prediction of the Electrostatic Potential with Equivariant Graph Neural Networks
• Train and Deploy an Image Classifier for Disaster Response
• Survey on Deep Learning-based Kuzushiji Recognition
• Broadband vectorial ultra-flat optics with experimental efficiency up to 99% in the visible via universal approximators
• Identify Speakers in Cocktail Parties with End-to-End Attention
• Rethinking Lightweight Convolutional Neural Networks for Efficient and High-quality Pavement Crack Detection
• ISyNet: Convolutional Neural Networks design for AI accelerator
• Local Contrast Learning
• Caramel: Accelerating Decentralized Distributed Deep Learning with Computation Scheduling
• Compact retail shelf segmentation for mobile deployment
• Impact of Channel Variation on One-Class Learning for Spoof Detection
• How to Train your DNN: The Network Operator Edition
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• Automated Segmentation of Brain Gray Matter Nuclei on Quantitative Susceptibility Mapping Using Deep Convolutional Neural Network
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• Beyond Categorical Label Representations for Image Classification
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• A Quadratic Actor Network for Model-Free Reinforcement Learning
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