Review paper
Scalable deep asymmetric hashing via unequal-dimensional embeddings for image similarity search
Abstract
In recent years, Hashing has become a popular technique used to support large-scale image retrieval, due to its significantly reduced storage, high search speed and capability of mapping high dimensional original features into compact similarity-preserving binary codes. Although effectiveness achieved, most existing hashing methods are still some limitations, including: (1) Many supervised hashing methods only transform the label information...
Paper Details
Title
Scalable deep asymmetric hashing via unequal-dimensional embeddings for image similarity search
Published Date
Oct 1, 2020
Journal
Volume
412
Pages
262 - 275
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