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	Deep triplet-group network by exploiting symmetric and asymmetric information for person reidentification
	Yu, Benzhi*; Xu, Ning
刊名	Journal of Electronic Imaging
	2018
卷号	27期号:3页码:033033-
关键词	person reidentification deep metric learning deep learning impostor symmetric and asymmetric information
ISSN号	1017-9909
DOI	10.1117/1.JEI.27.3.033033
URL标识	查看原文
WOS记录号	WOS:000437982900033;EI:20182605367723
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3389624
专题	武汉理工大学
作者单位	[Yu, Benzhi] Wuhan Univ Technol, Hubei Key Lab Transportat Internet Things, Wuhan, Hubei, Peoples R China.
推荐引用方式 GB/T 7714	Yu, Benzhi*,Xu, Ning. Deep triplet-group network by exploiting symmetric and asymmetric information for person reidentification[J]. Journal of Electronic Imaging,2018,27(3):033033-.
APA	Yu, Benzhi*,&Xu, Ning.(2018).Deep triplet-group network by exploiting symmetric and asymmetric information for person reidentification.Journal of Electronic Imaging,27(3),033033-.
MLA	Yu, Benzhi*,et al."Deep triplet-group network by exploiting symmetric and asymmetric information for person reidentification".Journal of Electronic Imaging 27.3(2018):033033-.

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