mlsanityData to 7 Oct 2026

Deep Cross-Modal Hashing

arXiv 1602.02255 ↗First posted 6 Feb 2016cs.IRcited by 54

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Abstract (arXiv)

Due to its low storage cost and fast query speed, cross-modal hashing (CMH) has been widely used for similarity search in multimedia retrieval applications. However, almost all existing CMH methods are based on hand-crafted features which might not be optimally compatible with the hash-code learning procedure. As a result, existing CMH methods with handcrafted features may not achieve satisfactory performance. In this paper, we propose a novel cross-modal hashing method, called deep crossmodal hashing (DCMH), by integrating feature learning and hash-code learning into the same framework. DCMH is an end-to-end learning framework with deep neural networks, one for each modality, to perform feature learning from scratch. Experiments on two real datasets with text-image modalities show that DCMH can outperform other baselines to achieve the state-of-the-art performance in cross-modal retrieval applications.

Key facts. Cited by 54 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Feb 2016.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 12; 2022: 19; 2023: 3; 2024: 7; 2025: 7; 2026: 6.

54 papers.

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  1. 2021Fast End-to-End Speech Recognition via Non-Autoregressive Models and Cross-Modal Knowledge Transferring from BERTcited by 31
  2. 2022M^4I: Multi-modal Models Membership Inferencecited by 30
  3. 2023BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistencycited by 27
  4. 2022AGCN: Augmented Graph Convolutional Network for Lifelong Multi-label Image Recognitioncited by 16
  5. 2022Multi-Label Continual Learning using Augmented Graph Convolutional Networkcited by 12
  6. 2021Continual learning in cross-modal retrievalcited by 10
  7. 2022Deep Unsupervised Contrastive Hashing for Large-Scale Cross-Modal Text-Image Retrieval in Remote Sensingcited by 10
  8. 2023Dynamic Enhancement Network for Partial Multi-modality Person Re-identificationcited by 9
  9. 2024BadCM: Invisible Backdoor Attack Against Cross-Modal Learningcited by 9
  10. 2021Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashingcited by 8
  11. 2022Hybrid Contrastive Quantization for Efficient Cross-View Video Retrievalcited by 8
  12. 2022Complete Cross-triplet Loss in Label Space for Audio-visual Cross-modal Retrievalcited by 6
38 more
  1. 2022Deep Partial Multiplex Network Embeddingcited by 5
  2. 2021Multi-Modal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashingcited by 4
  3. 2022Unsupervised Contrastive Hashing for Cross-Modal Retrieval in Remote Sensingcited by 4
  4. 2021Rescuing Deep Hashing from Dead Bits Problemcited by 3
  5. 2021FDDH: Fast Discriminative Discrete Hashing for Large-Scale Cross-Modal Retrievalcited by 3
  6. 2022Class-Incremental Lifelong Learning in Multi-Label Classificationcited by 2
  7. 2024Hashing based Contrastive Learning for Virtual Screeningcited by 2
  8. 2024Rethinking Sparse Lexical Representations for Image Retrieval in the Age of Rising Multi-Modal Large Language Modelscited by 2
  9. 2021A Discriminative Vectorial Framework for Multi-modal Feature Representationcited by 1
  10. 2021Discriminative Semantic Transitive Consistency for Cross-Modal Learningcited by 1
  11. 2021Cross-modal Zero-shot Hashing by Label Attributes Embeddingcited by 1
  12. 2021Meta Cross-Modal Hashing on Long-Tailed Datacited by 1
  13. 2022Deep Supervised Information Bottleneck Hashing for Cross-modal Retrieval based Computer-aided Diagnosiscited by 1
  14. 2022Prototype-Based Layered Federated Cross-Modal Hashingcited by 1
  15. 2025PromptHash: Affinity-Prompted Collaborative Cross-Modal Learning for Adaptive Hashing Retrievalcited by 1
  16. 2025Semantic-Consistent Bidirectional Contrastive Hashing for Noisy Multi-Label Cross-Modal Retrievalcited by 1
  17. 2025Codebook-Centric Deep Hashing: End-to-End Joint Learning of Semantic Hash Centers and Neural Hash Functioncited by 1
  18. 2026Unsupervised Data-Efficient Cross-Modal Retrieval with Global-Neighborhood Alignment Hashingcited by 1
  19. 2021Unsupervised Domain-adaptive Hash for Networkscited by 0
  20. 2021MOON: Multi-Hash Codes Joint Learning for Cross-Media Retrievalcited by 0
  21. 2022Discriminative Supervised Subspace Learning for Cross-modal Retrievalcited by 0
  22. 2022Anchor Graph Structure Fusion Hashing for Cross-Modal Similarity Searchcited by 0
  23. 2022Efficient Cross-Modal Retrieval via Deep Binary Hashing and Quantizationcited by 0
  24. 2022Cross-Media Scientific Research Achievements Retrieval Based on Deep Language Modelcited by 0
  25. 2022Learning Similarity Preserving Binary Codes for Recommender Systemscited by 0
  26. 2022Asymmetric Scalable Cross-modal Hashingcited by 0
  27. 2022Information-Theoretic Hashing for Zero-Shot Cross-Modal Retrievalcited by 0
  28. 2022Long-tail Cross Modal Hashingcited by 0
  29. 2023Deep Lifelong Cross-modal Hashingcited by 0
  30. 2024DEMO: A Statistical Perspective for Efficient Image-Text Matchingcited by 0
  31. 2024Distilling Vision-Language Pretraining for Efficient Cross-Modal Retrievalcited by 0
  32. 2024FiCo-ITR: bridging fine-grained and coarse-grained image-text retrieval for comparative performance analysiscited by 0
  33. 2024Distribution-Consistency-Guided Multi-modal Hashingcited by 0
  34. 2025Lightweight Contrastive Distilled Hashing for Online Cross-modal Retrievalcited by 0
  35. 2025Cross-Modal Retrieval with Cauchy-Schwarz Divergencecited by 0
  36. 2025Semantic-Cohesive Knowledge Distillation for Deep Cross-modal Hashingcited by 0
  37. 2025Enhancing Medical Cross-Modal Hashing Retrieval using Dropout-Voting Mixture-of-Experts Fusioncited by 0
  38. 2026Differentially Private Motif-Preserving Multi-modal Hashingcited by 0

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