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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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Chinês |
| Publicat: |
Beijing Xintong Media Co., Ltd
2025-06-01
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| Col·lecció: | Dianxin kexue |
| Matèries: | |
| Accés en línia: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2025125/ |
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