Supervised Discrete Hashing

Abstract

This paper has been withdrawn by the authour.

This paper has been withdrawn by the authour since the algorithm is being used for patent application

Cited by in corpus (48)

• Deep Supervised Discrete Hashing
• Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks
• HashNet: Deep Learning to Hash by Continuation
• SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning
• Zero-Shot Hashing via Transferring Supervised Knowledge
• Deep Sketch Hashing: Fast Free-hand Sketch-Based Image Retrieval
• SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval
• Bidirectional Long-Short Term Memory for Video Description
• MOON: Multi-Hash Codes Joint Learning for Cross-Media Retrieval
• Discrete Multi-modal Hashing with Canonical Views for Robust Mobile Landmark Search
• Efficient end-to-end learning for quantizable representations
• Simultaneous Feature Aggregating and Hashing for Large-scale Image Search
• Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation
• Asymmetric Deep Supervised Hashing
• Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval
• MIHash: Online Hashing with Mutual Information
• Mean Local Group Average Precision (mLGAP): A New Performance Metric for Hashing-based Retrieval
• Highly-Economized Multi-View Binary Compression for Scalable Image Clustering
• Deep Priority Hashing
• Attribute-Guided Network for Cross-Modal Zero-Shot Hashing
• Query-adaptive Image Retrieval by Deep Weighted Hashing
• SADIH: Semantic-Aware DIscrete Hashing
• Semi-supervised Hashing for Semi-Paired Cross-View Retrieval
• Deep Triplet Quantization
• Dual Asymmetric Deep Hashing Learning
• Accurate Deep Representation Quantization with Gradient Snapping Layer for Similarity Search
• Transductive Zero-Shot Hashing via Coarse-to-Fine Similarity Mining
• Multi-Feature Discrete Collaborative Filtering for Fast Cold-start Recommendation
• Simultaneous Compression and Quantization: A Joint Approach for Efficient Unsupervised Hashing
• Deep Class-Wise Hashing: Semantics-Preserving Hashing via Class-wise Loss
• Discrete Latent Factor Model for Cross-Modal Hashing
• End-to-end Binary Representation Learning via Direct Binary Embedding
• Discriminative Cross-View Binary Representation Learning
• Learning Structured Ordinal Measures for Video based Face Recognition
• Scalable Discrete Supervised Hash Learning with Asymmetric Matrix Factorization
• Deep Supervised Hashing with Triplet Labels
• Hashing in the Zero Shot Framework with Domain Adaptation
• Rescuing Deep Hashing from Dead Bits Problem
• Hashing with Binary Matrix Pursuit
• Fusion Hashing: A General Framework for Self-improvement of Hashing
• Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning
• Object Detection based Deep Unsupervised Hashing
• A Scalable Optimization Mechanism for Pairwise based Discrete Hashing
• Discriminative Supervised Hashing for Cross-Modal similarity Search
• Scalable Gaussian Processes for Supervised Hashing
• Set-to-Set Hashing with Applications in Visual Recognition
• Cluster Regularized Quantization for Deep Networks Compression
• Supervised Hashing based on Energy Minimization