When labels are corrupted by noise, cross-modal hashing often fails to maintain reliable semantic neighborhoods and clear decision boundaries in the Hamming space. Existing robust hashing methods mainly improve the reliability of samples or pairwise supervision, while the class-level semantics contained in multi-label...
Fan Yang, Yuan-Zhi Zhao, Tong-Xuan Pei et al.· Proceedings of the 34th ACM...· 0 citations
A central bottleneck in unsupervised cross-modal hashing is that both similarity guidance and objective weighting are typically static, while the semantic structure induced during training is inherently dynamic. We present DSSL-Hash, which turns semantic structure learning into an evolving process rather than a one-sho...
Fan Yang, Tong-Xuan Pei, Yuan-Zhi Zhao et al.· Proceedings of the Thirty-Fi...· 0 citations
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