{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T02:21:52Z","timestamp":1768443712807,"version":"3.49.0"},"reference-count":63,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Key Project of the Joint Fund of the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U21A20446"],"award-info":[{"award-number":["U21A20446"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2025,10]]},"DOI":"10.1109\/tits.2024.3368515","type":"journal-article","created":{"date-parts":[[2025,9,12]],"date-time":"2025-09-12T17:32:00Z","timestamp":1757698320000},"page":"14636-14647","source":"Crossref","is-referenced-by-count":1,"title":["Unsupervised Domain Adaptive Vehicle Re-Identification: A Federated Learning Scheme"],"prefix":"10.1109","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4883-4410","authenticated-orcid":false,"given":"Xiao","family":"Xiao","sequence":"first","affiliation":[{"name":"School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-1968-2091","authenticated-orcid":false,"given":"Xinyue","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8290-3291","authenticated-orcid":false,"given":"Yucheng","family":"Wang","sequence":"additional","affiliation":[{"name":"Perception Team, Horizon Robotics, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5543-2669","authenticated-orcid":false,"given":"Yilong","family":"Hui","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, China"}]},{"given":"Jianchuan","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3598-4949","authenticated-orcid":false,"given":"Guoqiang","family":"Mao","sequence":"additional","affiliation":[{"name":"School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2021.3058385"},{"key":"ref2","article-title":"LPRNet: License plate recognition via deep neural networks","author":"Zherzdev","year":"2018","journal-title":"arXiv:1806.10447"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ijcnn.2018.8489629"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01258-8_36"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/icme.2016.7553002"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/cvprw.2016.195"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/tmm.2017.2751966"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12237"},{"key":"ref9","first-page":"184","article-title":"Partition and reunion: A two-branch neural network for vehicle re-identification","volume-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit. Workshops (CVPRW)","author":"Chen"},{"key":"ref10","article-title":"Looking GLAMORous: Vehicle re-id in heterogeneous cameras networks with global and local attention","author":"Suprem","year":"2020","journal-title":"arXiv:2002.02256"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/tmm.2020.3035279"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2020.2968517"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-03801-4_26"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.01.008"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2021.3103961"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.107173"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/bigmm.2019.00024"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/127"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2020.3027578"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3133982"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2015.7298594"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2015.133"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2014.252"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2006.05.009"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2019.2901312"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2019.00837"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00030"},{"key":"ref29","article-title":"Generative adversarial networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"3","author":"Goodfellow"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2017.244"},{"key":"ref31","first-page":"195","article-title":"Augmented cycleGAN: Learning many-to-many mappings from unpaired data","volume-title":"Proc. 35th Int. Conf. Mach. Learn. (ICML)","volume":"80","author":"Almahairi"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/tip.2019.2902112"},{"key":"ref33","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"Brendan McMahan","year":"2016","journal-title":"arXiv:1602.05629"},{"key":"ref34","article-title":"Towards federated learning at scale: System design","author":"Bonawitz","year":"2019","journal-title":"arXiv:1902.01046"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr42600.2020.01387"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59710-8_16"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32692-0_16"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3387168.3387181"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/tii.2021.3067324"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/tvt.2021.3098170"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2021.3056396"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/tvt.2021.3077893"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2018.00745"},{"key":"ref44","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":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58571-6_35"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_53"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2016.238"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/tmm.2020.3014488"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3613460"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2021.3130403"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2017.49"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/3243316"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2018.00679"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/icpr.2018.8545514"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/cvprw.2018.00024"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/tip.2018.2819820"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-12939-2_26"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2019.00335"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr42600.2020.00643"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2021.3054775"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413814"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00465"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01474"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/11220917\/10461995.pdf?arnumber=10461995","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T18:04:49Z","timestamp":1761847489000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10461995\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10]]},"references-count":63,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tits.2024.3368515","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10]]}}}