A computationally efficient framework leveraging auxiliary head features for robust cloth-changing person re-identification

Shanna Zhuang

doi:10.1016/j.imavis.2025.105852

A computationally efficient framework leveraging auxiliary head features for robust cloth-changing person re-identification

2025-11-27

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DOI：10.1016/j.imavis.2025.105852

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• Proposes an efficient CC-ReID framework using head features as auxiliary cues. • Designs HRCL, HANet and FLFM modules that form discriminative head-body features. • Achieves SOTA Rank-1 (58.8%) with a competitive mAP (25.4%) on LTCC.

A computationally efficient framework leveraging auxiliary head features for robust cloth-changing person re-identification

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