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Discrete Semantics-Guided Asymmetric Hashing for Large-Scale Multimedia Retrieval
2021
Applied Sciences
Cross-modal hashing technology is a key technology for real-time retrieval of large-scale multimedia data in real-world applications. Although the existing cross-modal hashing methods have achieved impressive accomplishment, there are still some limitations: (1) some cross-modal hashing methods do not make full consider the rich semantic information and noise information in labels, resulting in a large semantic gap, and (2) some cross-modal hashing methods adopt the relaxation-based or discrete
doi:10.3390/app11188769
fatcat:cp2bnipljjcevm4e26lfzvijsy