SCH-GAN: Semi-Supervised Cross-Modal Hashing by Generative Adversarial Network
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DOI: 10.1109/tcyb.2018.2868826
Abstract: Cross-modal hashing maps heterogeneous multimedia data into a common Hamming space to realize fast and flexible cross-modal retrieval. Supervised cross-modal hashing methods have achieved considerable progress by incorporating semantic side information. However, they heavily rely… read more here.
Keywords: supervised cross; cross modal; modal hashing; cross ... See more keywords