Jul 2026
Structural-Semantic Reciprocal Learning for Unsupervised Visible-Infrared Person Re-Identification
Structural-Semantic Reciprocal Learning (SSRL), a framework that transforms open-loop association into a self-correcting closed-loop system, achieves robust cross-modal representation through the reciprocal interaction between structural and semantic learning.
Moyao Tian, Shijia Liu, Yan Yang et al.
· arXiv.org · 0 citations