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Prototype-guided knowledge transfer for federated unsupervised cross-modal hashing
Although deep cross-modal hashing methods have shown superiorities for cross-modal
retrieval recently, there is a concern about potential data privacy leakage when training the …
retrieval recently, there is a concern about potential data privacy leakage when training the …
Joint contrastive self-supervised learning and weak-orthogonal product quantization for fast image retrieval
X Zhao, J Liu - Knowledge-Based Systems, 2024 - Elsevier
Hashing and quantization methods based on deep learning are being widely used in large-
scale image retrieval. Most methods use traditional supervised models to train models …
scale image retrieval. Most methods use traditional supervised models to train models …
Unsupervised deep hashing with fine-grained similarity-preserving contrastive learning for image retrieval
Unsupervised deep hashing has demonstrated significant advancements with the
development of contrastive learning. However, most of previous methods have been …
development of contrastive learning. However, most of previous methods have been …
Exploring Hierarchical Information in Hyperbolic Space for Self-Supervised Image Hashing
Self-supervised Locality-Sensitive Deep Hashing for the Robust Retrieval of Degraded Images
L **ang, H Hu, Q Li, H Yu… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
Recently, numerous degraded images have flooded search engines and social networks,
finding extensive and practical applications in the real world. However, these images have …
finding extensive and practical applications in the real world. However, these images have …