The paper introduces the CMCC-ReID task, constructs the SYSU-CMCC benchmark dataset, and proposes the PIA network with disentangling and prototype modules that outperforms prior methods on combined modality and clothing variations.
arXiv preprint arXiv:2603.14243 (2026)
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A multi-view semantic reformulation and feature compensation method using LLMs and VLMs improves text-to-image person retrieval accuracy without training and reaches SOTA on three datasets.
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CMCC-ReID: Cross-Modality Clothing-Change Person Re-Identification
The paper introduces the CMCC-ReID task, constructs the SYSU-CMCC benchmark dataset, and proposes the PIA network with disentangling and prototype modules that outperforms prior methods on combined modality and clothing variations.
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Towards Robust Text-to-Image Person Retrieval: Multi-View Reformulation for Semantic Compensation
A multi-view semantic reformulation and feature compensation method using LLMs and VLMs improves text-to-image person retrieval accuracy without training and reaches SOTA on three datasets.