Improving person re-identification by attribute and identity learning

•We annotate attribute labels on two large-scale person re-identification datasets.•We propose APR to improve re-ID by exploiting global and detailed information.•We introduce a module to leverage the correlation between attributes.•We speed-up the retrieval of re-ID by ten times with only a 2.92% a...

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Bibliographic Details

Published in:	Pattern recognition Vol. 95; pp. 151 - 161
Main Authors:	Lin, Yutian, Zheng, Liang, Zheng, Zhedong, Wu, Yu, Hu, Zhilan, Yan, Chenggang, Yang, Yi
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.11.2019
Subjects:	Attribute recognition Person re-identification Attribute recognition Person re-identification
ISSN:	0031-3203, 1873-5142
Online Access:	Get full text
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