Cycle-Consistent Deep Generative Hashing for Cross-Modal Retrieval
IEEE Transactions on Image Processing, pp. 1602-1612, 2018.
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In this paper, we propose a novel deep generative approach to cross-modal retrieval to learn hash functions in the absence of paired training samples through the cycle consistency loss. Our proposed approach employs adversarial training scheme to learn a couple of hash functions enabling translation between modalities while assuming the u...More
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