{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T10:26:46Z","timestamp":1779272806775,"version":"3.51.4"},"reference-count":113,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Key-Area Research and Development Program of Guangdong Province","award":["2020B090921003"],"award-info":[{"award-number":["2020B090921003"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1811463"],"award-info":[{"award-number":["U1811463"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research and Development Program 2020 of Guangzhou","award":["202007050002"],"award-info":[{"award-number":["202007050002"]}]},{"name":"Shenzhen Science and Technology Program","award":["RCBS20200714114920272"],"award-info":[{"award-number":["RCBS20200714114920272"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Veh."],"published-print":{"date-parts":[[2022,9]]},"DOI":"10.1109\/tiv.2022.3197818","type":"journal-article","created":{"date-parts":[[2022,8,10]],"date-time":"2022-08-10T19:31:07Z","timestamp":1660159867000},"page":"441-455","source":"Crossref","is-referenced-by-count":43,"title":["A Parallel Teacher for Synthetic-to-Real Domain Adaptation of Traffic Object Detection"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0259-0118","authenticated-orcid":false,"given":"Jiangong","family":"Wang","sequence":"first","affiliation":[{"name":"State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7614-7015","authenticated-orcid":false,"given":"Tianyu","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Beijing Normal University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1911-5791","authenticated-orcid":false,"given":"Yonglin","family":"Tian","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7429-031X","authenticated-orcid":false,"given":"Yutong","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4128-886X","authenticated-orcid":false,"given":"Chao","family":"Gou","sequence":"additional","affiliation":[{"name":"School of Intelligent Systems Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0008-0659","authenticated-orcid":false,"given":"Xiao","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5625-2758","authenticated-orcid":false,"given":"Fei","family":"Yao","sequence":"additional","affiliation":[{"name":"North Automatic Control Technology Institute, Taiyuan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changyin","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Anhui University, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2020.3037928"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2910643"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2020.3046859"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2021.3095719"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2019.2945053"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2020.1003021"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2020.3010832"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2020.3049008"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2843394"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2020.3033878"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2020.1003414"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2021.3078619"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2972974"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2020.1003033"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2017.7510841"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2018.2857566"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500459"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.352"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989092"},{"key":"ref20","article-title":"Virtual kitti 2","author":"Cabon","year":"2020"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2020.2980671"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8851791"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/tiv.2022.3165353"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.241"},{"key":"ref25","first-page":"4119","article-title":"Supervised representation learning: Transfer learning with deep autoencoders","volume-title":"Proc. 24th Int. Joint Conf. Artif. Intell.","author":"Zhuang","year":"2015"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6123"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00115"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3099297"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.3036800"},{"issue":"5","key":"ref30","first-page":"893","article-title":"Computational experiments for behavior analysis and decision evaluation of complex systems","volume":"16","author":"Wang","year":"2004","journal-title":"Acta Simulata Systematica Sinica"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-017-9569-z"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2017.7510493"},{"issue":"18","key":"ref33","first-page":"1","article-title":"Parallel learning-a new framework for machine learning","volume":"43","author":"Li","year":"2017","journal-title":"Acta Automatica Sinica"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.aaw4106"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2991039"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3390\/rs13152868"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2020.2987437"},{"key":"ref38","first-page":"1195","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Tarvainen","year":"2017"},{"key":"ref39","first-page":"1180","article-title":"Unsupervised domain adaptation by backpropagation","volume-title":"Proc. 32nd Int. Conf. Mach. Learn.","volume":"37","author":"Ganin","year":"2015"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_18"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2019.2955851"},{"key":"ref42","first-page":"1994","article-title":"CyCADA: Cycle-consistent adversarial domain adaptation","volume-title":"Proc. 35th Int. Conf. Mach. Learn.","volume":"80","author":"Hoffman","year":"2018"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2961145"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01274"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00352"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2022.3176397"},{"key":"ref47","article-title":"Deep domain confusion: Maximizing for domain invariance","author":"Tzeng","year":"2014"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11784"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.107"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref51","first-page":"1","article-title":"Conditional adversarial domain adaptation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Long","year":"2018"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btl242"},{"key":"ref53","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Long","year":"2015"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2021.3115823"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2020.3039456"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2020.1003393"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2021.3071593"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2020.1003453"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2020.2987440"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.l007\/978-3-319-46448-0_2"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2016.2577031"},{"key":"ref65","first-page":"2654","article-title":"Do deep nets really need to be deep","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ba","year":"2014"},{"key":"ref66","first-page":"1","article-title":"Distilling the knowledge in a neural network","volume-title":"Proc. NIPS Deep Learn. Representation Learn. Workshop","author":"Hinton","year":"2015"},{"key":"ref67","first-page":"1","article-title":"Fitnets: Hints for thin deep nets","volume-title":"Proc. 3rd Int. Conf. Learn. Representations","author":"Romero","year":"2015"},{"key":"ref68","first-page":"1","article-title":"Paying more attention to attention: Improving the performance of convolutional neural networks via attention transfer","volume-title":"Proc. 5th Int. Conf. Learn. Representations","author":"Zagoruyko","year":"2017"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00454"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2021.1004009"},{"key":"ref71","first-page":"1","article-title":"Unbiased teacher for semi-supervised object detection","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Liu","year":"2021"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2020.1003090"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01070"},{"key":"ref74","first-page":"1","article-title":"Temporal ensembling for semi-supervised learning","volume-title":"Proc. 5th Int. Conf. Learn. Representations","author":"Laine","year":"2017"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2020.1003426"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2020.1003216"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2019.1911792"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2018.2833884"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2934991"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2018.2796241"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/MITS.2021.3058623"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2018.2870983"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2020.3027319"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/MITS.2018.2889714"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2020.3040262"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2022.3145035"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2021.1003985"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2020.1003072"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1109\/MITS.2018.2842249"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2910295"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2019.2955907"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2019.2960930"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.03.095"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1631\/FITEE.2000141"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2019.1911633"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2021.1004057"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2020.1003390"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00948"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00712"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00078"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01224"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01172"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.7015"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00113"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.243"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.470"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"},{"key":"ref109","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref110","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.534"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2984894"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3014013"},{"key":"ref113","article-title":"Detectron 2","author":"Wu","year":"2019"}],"container-title":["IEEE Transactions on Intelligent Vehicles"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7274857\/9927386\/09854126.pdf?arnumber=9854126","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T05:00:57Z","timestamp":1709355657000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9854126\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9]]},"references-count":113,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tiv.2022.3197818","relation":{},"ISSN":["2379-8904","2379-8858"],"issn-type":[{"value":"2379-8904","type":"electronic"},{"value":"2379-8858","type":"print"}],"subject":[],"published":{"date-parts":[[2022,9]]}}}