Mask-Guided Asymmetric Contrastive and Semantic Alignment for Unsupervised Person Re-Identification
Unsupervised person re-identification (ReID) aims to learn identity-discriminative representations without manual annotations, which is challenging due to noisy pseudo labels, background clutter, and large appearance variations. Recent studies have shown that exploiting fine-grained local cues is crucial for improving...