Progressive Contrastive Learning for Unsupervised Visible-Infrared Person Re-identification

The author proposes a Progressive Contrastive Learning with Multi-Prototype method to address the challenges of Unsupervised Visible-Infrared Person Re-identification, focusing on capturing both commonality and diversity in features.