Joining features by global guidance with bi-relevance trihard loss for person re-identification
Crossref DOI link: https://doi.org/10.1007/s00521-021-06852-4
Published Online: 2022-01-25
Published Print: 2022-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Yu, Zhi
Qin, Wencheng
Huang, Zhiyong
Tahsin, Lamia
Sun, Daming
Zhong, Yuanhong
Text and Data Mining valid from 2022-01-25
Version of Record valid from 2022-01-25
Article History
Received: 29 May 2021
Accepted: 12 December 2021
First Online: 25 January 2022
Declarations
:
: The authors declare no conflict of interest exists.