Preprint
Aug 2026
Multi-scale Decomposed Convolution Refinement Network for Visible-Infrared Person Re-Identification
This work proposes MDCRNet, a Multi-scale Decomposed Convolution Refinement Network that enhances cross-modal feature learning and discriminative metric learning, and develops a Joint Discriminative Metric Loss incorporating a novel Granularity Discriminative Loss (GDL).
Mingsheng Zheng, Zirui Jiang, Bo Liu et al.
· 0 citations