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In our paper, we suggest a novel multi-clues guided Adaptive Learning Transformer (ALT) which can adaptively select the most readily identifiable features based on different scenarios. The method comprises two parts: a Multi-clues Guiding Module (MGM) and a Feature Selection Module (FSM). We utilize clothes-irrelevant features from multi-modality information as clues, integrating multiple features to extract robust representations invariant to clothing changes for CC-ReID through cross-attention and Mixture of Experts (MoEs). We utilized contour sketch and gait as clues, conducting experiments on the CC-ReID dataset. The experimental results show that our recommended approach prevails over all other SOTA methods, particularly showing significant improvement compared to using contour sketch and gait alone. <\/jats:p>","DOI":"10.1142\/s0218001425550018","type":"journal-article","created":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T03:52:26Z","timestamp":1740801146000},"source":"Crossref","is-referenced-by-count":0,"title":["Multi-clues Adaptive Learning for Cloth-Changing Person Re-Identification"],"prefix":"10.1142","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-5888-369X","authenticated-orcid":false,"given":"Xiang","family":"Zhou","sequence":"first","affiliation":[{"name":"Department of Computer Science and Technology, Tongji University, Shanghai 201804, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-2425-2980","authenticated-orcid":false,"given":"Junzhu","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Software, Nanchang University, Nanchang 330047, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4991-0596","authenticated-orcid":false,"given":"Xinyang","family":"Jiang","sequence":"additional","affiliation":[{"name":"Microsoft Research Asia, Shanghai 200232, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-2497-2465","authenticated-orcid":false,"given":"Pengyu","family":"Li","sequence":"additional","affiliation":[{"name":"School of Software, Nanchang University, Nanchang 330047, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6745-9674","authenticated-orcid":false,"given":"Cairong","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Tongji University, Shanghai 201804, China"}]}],"member":"219","published-online":{"date-parts":[[2025,5,14]]},"reference":[{"doi-asserted-by":"publisher","key":"S0218001425550018BIB001","DOI":"10.1109\/WACVW54805.2022.00066"},{"doi-asserted-by":"publisher","key":"S0218001425550018BIB003","DOI":"10.1109\/ICCV48922.2021.00041"},{"doi-asserted-by":"publisher","key":"S0218001425550018BIB004","DOI":"10.1109\/CVPR.2017.145"},{"doi-asserted-by":"publisher","key":"S0218001425550018BIB005","DOI":"10.1109\/CVPR.2016.149"},{"doi-asserted-by":"publisher","key":"S0218001425550018BIB006","DOI":"10.1016\/j.patcog.2015.04.005"},{"key":"S0218001425550018BIB007","first-page":"1","author":"Dosovitskiy A.","year":"2020","journal-title":"International Conference on Learning Representations (ICLR)"},{"doi-asserted-by":"publisher","key":"S0218001425550018BIB008","DOI":"10.1109\/ICCV48922.2021.00675"},{"doi-asserted-by":"publisher","key":"S0218001425550018BIB009","DOI":"10.1109\/CVPR52688.2022.01175"},{"doi-asserted-by":"publisher","key":"S0218001425550018BIB011","DOI":"10.1109\/TNNLS.2023.3329384"},{"key":"S0218001425550018BIB012","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1007\/978-3-540-70504-8","volume-title":"Computer Vision \u2014 ECCV 2008","author":"Gray D.","year":"2008"},{"doi-asserted-by":"publisher","key":"S0218001425550018BIB013","DOI":"10.1609\/aaai.v36i1.19967"},{"doi-asserted-by":"publisher","key":"S0218001425550018BIB014","DOI":"10.1109\/ICCV48922.2021.01474"},{"key":"S0218001425550018BIB015","first-page":"1901","author":"Hermans A.","year":"2017","journal-title":"Computer Vis. 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