mlsanityData to 7 Oct 2026

Supervised Discrete Hashing

arXiv 1503.01557 ↗First posted 5 Mar 2015cs.CVcited by 40

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Abstract (arXiv)

This paper has been withdrawn by the authour.

Key facts. Cited by 40 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Mar 2015.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 15; 2022: 13; 2023: 4; 2024: 3; 2025: 3; 2026: 2.

40 papers.

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  1. 2024COMAE: COMprehensive Attribute Exploration for Zero-shot Hashingcited by 16
  2. 2022SEMICON: A Learning-to-hash Solution for Large-scale Fine-grained Image Retrievalcited by 11
  3. 2022ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretizationcited by 10
  4. 2021Deep Hash Distillation for Image Retrievalcited by 9
  5. 2022One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matchingcited by 9
  6. 2023Attribute-Aware Deep Hashing with Self-Consistency for Large-Scale Fine-Grained Image Retrievalcited by 8
  7. 2021Instance-weighted Central Similarity for Multi-label Image Retrievalcited by 6
  8. 2024NeuroHash: A Hyperdimensional Neuro-Symbolic Framework for Spatially-Aware Image Hashing and Retrievalcited by 6
  9. 2022Unsupervised Hashing with Semantic Concept Miningcited by 5
  10. 2024BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilitiescited by 5
  11. 2023Graph-Collaborated Auto-Encoder Hashing for Multi-view Binary Clusteringcited by 4
  12. 2021Rescuing Deep Hashing from Dead Bits Problemcited by 3
28 more
  1. 2021FDDH: Fast Discriminative Discrete Hashing for Large-Scale Cross-Modal Retrievalcited by 3
  2. 2021Real-time Human Action Recognition Using Locally Aggregated Kinematic-Guided Skeletonlet and Supervised Hashing-by-Analysis Modelcited by 3
  3. 2021Deep Self-Adaptive Hashing for Image Retrievalcited by 3
  4. 2021Deep Asymmetric Hashing with Dual Semantic Regression and Class Structure Quantizationcited by 3
  5. 2022HyP2 Loss: Beyond Hypersphere Metric Space for Multi-label Image Retrievalcited by 3
  6. 2021Rank-Consistency Deep Hashing for Scalable Multi-Label Image Searchcited by 2
  7. 2021Improved Deep Classwise Hashing With Centers Similarity Learning for Image Retrievalcited by 2
  8. 2022A Lower Bound of Hash Codes' Performancecited by 2
  9. 2023Deep Hashing via Householder Quantizationcited by 2
  10. 2021Similarity Embedding Networks for Robust Human Activity Recognitioncited by 1
  11. 2021Orthonormal Product Quantization Network for Scalable Face Image Retrievalcited by 1
  12. 2021Similarity Guided Deep Face Image Retrievalcited by 1
  13. 2022CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashingcited by 1
  14. 2022Prototype-Based Layered Federated Cross-Modal Hashingcited by 1
  15. 2026GPU-Accelerated Algorithms for Graph Vector Search: Taxonomy, Empirical Study, and Research Directionscited by 1
  16. 2026Unsupervised Data-Efficient Cross-Modal Retrieval with Global-Neighborhood Alignment Hashingcited by 1
  17. 2021Open-Set Representation Learning through Combinatorial Embeddingcited by 0
  18. 2021MOON: Multi-Hash Codes Joint Learning for Cross-Media Retrievalcited by 0
  19. 2021Hard Example Guided Hashing for Image Retrievalcited by 0
  20. 2022Efficient Cross-Modal Retrieval via Deep Binary Hashing and Quantizationcited by 0
  21. 2022Deep Unsupervised Hashing with Latent Semantic Componentscited by 0
  22. 2022An Effective Fusion Method to Enhance the Robustness of CNNcited by 0
  23. 2022Asymmetric Transfer Hashing with Adaptive Bipartite Graph Learningcited by 0
  24. 2022Cross-Scale Context Extracted Hashing for Fine-Grained Image Binary Encodingcited by 0
  25. 2023Sparse-Inductive Generative Adversarial Hashing for Nearest Neighbor Searchcited by 0
  26. 2025DualHash: A Stochastic Primal-Dual Algorithm with Theoretical Guarantee for Deep Hashingcited by 0
  27. 2025Generalized Denoising Diffusion Codebook Models (gDDCM): Tokenizing images using a pre-trained diffusion modelcited by 0
  28. 2025Rethinking Output Alignment For 1-bit Post-Training Quantization of Large Language Modelscited by 0