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Asymmetric Scalable Cross-modal Hashing. (arXiv:2207.12650v1 [cs.CV])
July 27, 2022, 1:12 a.m. | Wenyun Li, Chi-Man Pun
cs.CV updates on arXiv.org arxiv.org
Cross-modal hashing is a successful method to solve large-scale multimedia
retrieval issue. A lot of matrix factorization-based hashing methods are
proposed. However, the existing methods still struggle with a few problems,
such as how to generate the binary codes efficiently rather than directly relax
them to continuity. In addition, most of the existing methods choose to use an
$n\times n$ similarity matrix for optimization, which makes the memory and
computation unaffordable. In this paper we propose a novel Asymmetric Scalable …
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