{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T18:29:32Z","timestamp":1774031372151,"version":"3.50.1"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100006606","name":"Natural Science Foundation of Tianjin Municipality","doi-asserted-by":"publisher","award":["21JCYBJC00510"],"award-info":[{"award-number":["21JCYBJC00510"]}],"id":[{"id":"10.13039\/501100006606","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010256","name":"Guangzhou Municipal Science and Technology Project","doi-asserted-by":"publisher","award":["2023A03J0671"],"award-info":[{"award-number":["2023A03J0671"]}],"id":[{"id":"10.13039\/501100010256","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Natural Science Fund","award":["62201483"],"award-info":[{"award-number":["62201483"]}]},{"DOI":"10.13039\/501100007156","name":"Innovation and Technology Commission","doi-asserted-by":"publisher","award":["ITS\/274\/22"],"award-info":[{"award-number":["ITS\/274\/22"]}],"id":[{"id":"10.13039\/501100007156","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tmm.2024.3370678","type":"journal-article","created":{"date-parts":[[2024,2,28]],"date-time":"2024-02-28T18:56:14Z","timestamp":1709146574000},"page":"7709-7720","source":"Crossref","is-referenced-by-count":11,"title":["Self-Mining the Confident Prototypes for Source-Free Unsupervised Domain Adaptation in Image Segmentation"],"prefix":"10.1109","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4793-6343","authenticated-orcid":false,"given":"Yuntong","family":"Tian","sequence":"first","affiliation":[{"name":"College of Intelligence and Computing, Tianjin University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-1936-6023","authenticated-orcid":false,"given":"Jiaxi","family":"Li","sequence":"additional","affiliation":[{"name":"Medical School, Tianjin University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9702-5524","authenticated-orcid":false,"given":"Huazhu","family":"Fu","sequence":"additional","affiliation":[{"name":"Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3871-663X","authenticated-orcid":false,"given":"Lei","family":"Zhu","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9315-6527","authenticated-orcid":false,"given":"Lequan","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong SAR, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5501-9575","authenticated-orcid":false,"given":"Liang","family":"Wan","sequence":"additional","affiliation":[{"name":"College of Intelligence and Computing, Tianjin University, Tianjin, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/350"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_18"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3148592"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00966"},{"key":"ref5","first-page":"6028","article-title":"Do we really need to access the source data? Source hypothesis transfer for unsupervised domain adaptation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Liang","year":"2020"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3111034"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102457"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.semeval-1.53"},{"key":"ref9","first-page":"3635","article-title":"Model adaptation: Historical contrastive learning for unsupervised domain adaptation without source data","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Huang","year":"2021"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00127"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87240-3_22"},{"key":"ref12","first-page":"12365","article-title":"Confidence score for source-free unsupervised domain adaptation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Lee","year":"2022"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2023.103747"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01513"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58568-6_38"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00218"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00262"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_18"},{"key":"ref19","first-page":"2988","article-title":"Asymmetric tri-training for unsupervised domain adaptation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Saito","year":"2017"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_28"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01395"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3059265"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00392"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00780"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00795"},{"key":"ref26","first-page":"1989","article-title":"CyCADA: Cycle consistent adversarial domain adaptation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Hoffman","year":"2018"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2972701"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00503"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3106095"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2900166"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3146744"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3104379"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00888"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/402"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102617"},{"key":"ref36","article-title":"Tent: Fully test-time adaptation by entropy minimization","author":"Wang","year":"2021"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00949"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00382"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00127"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00969"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00690"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02310"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1604.01685"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_7"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.352"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref48","first-page":"12077","article-title":"SegFormer: Simple and efficient design for semantic segmentation with transformers","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Xie","year":"2021"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3090082"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i3.20217"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1802.02611"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43990-2_58"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3263465"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01223"},{"key":"ref55","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/10384483\/10452765.pdf?arnumber=10452765","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,3]],"date-time":"2024-05-03T18:51:09Z","timestamp":1714762269000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10452765\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":55,"URL":"https:\/\/doi.org\/10.1109\/tmm.2024.3370678","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}