Author

Shijia Liu

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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