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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Vydané v:	Pattern recognition Ročník 95; s. 151 - 161
Hlavní autori:	Lin, Yutian, Zheng, Liang, Zheng, Zhedong, Wu, Yu, Hu, Zhilan, Yan, Chenggang, Yang, Yi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.11.2019
Predmet:	Attribute recognition Person re-identification Attribute recognition Person re-identification
ISSN:	0031-3203, 1873-5142
On-line prístup:	Získať plný text
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