Progressively Biased Split Vision Transformer Learning for Visible-Infrared Person Re-Identification
A Progressively Biased Split Vision Transformer (PBSVT) is proposed, which combines a split ViT backbone with progressive bias training to gradually reduce RGB-dominant bias while preserving modality-shared structure and demonstrates the effectiveness of progressive modality transition for robust VI-ReID representation learning.