Dual branch guided contrastive learning for unsupervised pedestrian re-identification

The current unsupervised pedestrian re-identification algorithms using residual networks can only extract rough global features, but it can’t adequately reflect subtle local features. In addition, the pseudo labels generated by clustering methods introduce noise, which will affect the performance of...

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Detalhes bibliográficos

Principais autores:	REN Hangjia, LIANG Fengmei
Formato:	Artigo
Idioma:	Chinês
Publicado em:	Beijing Xintong Media Co., Ltd 2025-06-01
coleção:	Dianxin kexue
Assuntos:	unsupervised pedestrian re-identification global feature local feature label refinement contrastive learning
Acesso em linha:	http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2025125/
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