In this paper, we propose a novel Deep Semantic-Asymmetric Hashing (DSAH) approach, which exploits semantic correlation between query points and their labels in a common semantic space to form more discriminative and similarity-preserving binary codes. Experiments show that DSAH outperforms current ...
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