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Random Online Hashing for Cross-Modal Retrieval
IEEE Transactions on Neural Networks and Learning SystemsIn the past decades, supervised cross-modal hashing methods have attracted considerable attentions due to their high searching efficiency on large-scale multimedia databases. Many of these methods leverage semantic correlations among heterogeneous modalities by constructing a similarity matrix or building a common semantic space with the collective ...
Kaihang Jiang +5 more
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Dual Self-Paced Cross-Modal Hashing
Proceedings of the AAAI Conference on Artificial IntelligenceCross-modal hashing~(CMH) is an efficient technique to retrieve relevant data across different modalities, such as images, texts, and videos, which has attracted more and more attention due to its low storage cost and fast query speed. Although existing CMH methods achieve remarkable processes, almost all of them treat all samples of varying difficulty
Yuan Sun +5 more
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Federated unsupervised cross-modal Hashing
SCIENTIA SINICA Informationis, 2023Lei ZHU +4 more
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Online Discriminative Cross-Modal Hashing
IEEE Transactions on Circuits and Systems for Video TechnologyXiao Kang +4 more
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Contrastive Incomplete Cross-Modal Hashing
IEEE Transactions on Knowledge and Data EngineeringHaoyang Luo, Zheng Zhang, Liqiang Nie
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Ranking-oriented cross-modal hashing
Engineering Applications of Artificial IntelligenceYadong Huo +3 more
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Self-Supervised Incomplete Cross-Modal Hashing Retrieval
Expert Systems with ApplicationsShouyong Peng +5 more
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