{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:58:54Z","timestamp":1763146734034,"version":"3.45.0"},"reference-count":66,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62076262","61673402","61273270","60802069"],"award-info":[{"award-number":["62076262","61673402","61273270","60802069"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans.Inform.Forensic Secur."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tifs.2025.3629565","type":"journal-article","created":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T18:52:08Z","timestamp":1762455128000},"page":"12051-12065","source":"Crossref","is-referenced-by-count":0,"title":["Part-Based Bi-Directional Enhancement Learning for Unsupervised Visible-Infrared Re-Identification"],"prefix":"10.1109","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-2204-8668","authenticated-orcid":false,"given":"Qiaolin","family":"He","sequence":"first","affiliation":[{"name":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-7466-1041","authenticated-orcid":false,"given":"Yiming","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-9445-8052","authenticated-orcid":false,"given":"Zihan","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4884-323X","authenticated-orcid":false,"given":"Haifeng","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3054775"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00431"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3224853"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3617375"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3141868"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3285758"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3681067"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.575"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12293"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2021.3139224"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01027"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01183"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19781-9_28"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3092578"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01016"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3310015"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3309110"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3346176"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20053-3_6"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612077"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00921"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3364530"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548198"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612050"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72649-1_26"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00716"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3278860"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01331"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2023.3302132"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.102128"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3262130"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548336"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01786"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-26351-4_20"},{"key":"ref35","article-title":"Representation learning with contrastive predictive coding","author":"van den Oord","year":"2018","journal-title":"arXiv:1807.03748"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i4.16381"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3310338"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3341392"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3314453"},{"key":"ref40","first-page":"11309","article-title":"Self-paced contrastive learning with hybrid memory for domain adaptive object Re-ID","volume-title":"Proc. NIPS","author":"Ge"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00393"},{"key":"ref42","first-page":"6448","article-title":"Does label smoothing mitigate label noise?","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","volume":"1","author":"\u0141ukasik"},{"key":"ref43","article-title":"Regularizing neural networks by penalizing confident output distributions","author":"Pereyra","year":"2017","journal-title":"arXiv:1701.06548"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2921454"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018385"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00071"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2928126"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00372"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5891"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58520-4_14"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00720"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01391"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00214"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01035"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2024.3354377"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2023.3347855"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i5.28259"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2025.3535353"},{"key":"ref59","article-title":"Mutual mean-teaching: Pseudo label refinery for unsupervised domain adaptation on person re-identification","author":"Ge","year":"2020","journal-title":"arXiv:2001.01526"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01175"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01469"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.52202\/079017-3163"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01596"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.5555\/3001460.3001507"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.3390\/s17030605"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"}],"container-title":["IEEE Transactions on Information Forensics and Security"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10206\/10810755\/11230802.pdf?arnumber=11230802","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:48:32Z","timestamp":1763146112000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11230802\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":66,"URL":"https:\/\/doi.org\/10.1109\/tifs.2025.3629565","relation":{},"ISSN":["1556-6013","1556-6021"],"issn-type":[{"type":"print","value":"1556-6013"},{"type":"electronic","value":"1556-6021"}],"subject":[],"published":{"date-parts":[[2025]]}}}