Delving into the representation learning of deep hashing

Searching for the nearest neighbor is a fundamental problem in the computer vision field, and deep hashing has become one of the most representative and widely used methods, which learns to generate compact binary codes for visual data. In this paper, we first delve into the representation learning...

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Bibliographic Details
Main Authors:	Chen, Z.-M (Author), Cui, Q. (Author), Yoshie, O. (Author)
Format:	Article
Language:	English
Published:	Elsevier B.V. 2022
Subjects:	article Binary codes computer vision Computer vision Deep hashing Deep learning Digital storage feature learning (machine learning) Image datasets Learn+ learning Learning frameworks Metric learning Nearest neighbor search Nearest-neighbour Representation learning Storage costs Transfer learning transfer of learning velocity Visual data
Online Access:	View Fulltext in Publisher

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View Fulltext in Publisher

Delving into the representation learning of deep hashing

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