Staged encoder training for cross-camera person re-identification

As a cross-camera retrieval problem, person re-identification (ReID) suffers from image style variations caused by camera parameters, lighting and other reasons, which will seriously affect the model recognition accuracy. To address this problem, this paper proposes a two-stage contrastive learning...

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Vydané v:	Signal, image and video processing Ročník 18; číslo 3; s. 2323 - 2331
Hlavní autori:	Xu, Zhi, Yang, Jiawei, Liu, Yuxuan, Zhao, Longyang, Liu, Jiajia
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Springer London 01.04.2024 Springer Nature B.V
Predmet:	Accuracy Cameras Classification Coders Computer Imaging Computer Science Computer vision Datasets Dictionaries Image coding Image Processing and Computer Vision Methods Multimedia Information Systems Original Paper Parameter identification Pattern recognition Pattern Recognition and Graphics Signal,Image and Speech Processing Vision Unsupervised Person re-identification Camera variation Contrastive learning
ISSN:	1863-1703, 1863-1711
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