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Person Re-Identification

Learning Commonality, Divergence and Variety for Unsupervised Visible-Infrared Person Re-identification
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Computer Vision Person Re-Identification 🏢 Institute of Artificial Intelligence, Xiamen University
Progressive Contrastive Learning with Hard & Dynamic Prototypes (PCLHD) revolutionizes unsupervised visible-infrared person re-identification by effectively capturing data commonality, divergence, and…
Cross-video Identity Correlating for Person Re-identification Pre-training
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Computer Vision Person Re-Identification 🏢 String
Cross-video Identity-cOrrelating pre-training (CION) revolutionizes person re-identification by leveraging identity correlation across videos for superior model pre-training, achieving state-of-the-ar…