{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T02:45:59Z","timestamp":1785552359363,"version":"3.56.0"},"reference-count":60,"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\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62176162"],"award-info":[{"award-number":["62176162"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62076129"],"award-info":[{"award-number":["62076129"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2023A1515012875"],"award-info":[{"award-number":["2023A1515012875"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2022A1515140099"],"award-info":[{"award-number":["2022A1515140099"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Laboratory for Artificial Intelligence in Design"},{"name":"Innovation and Technology Fund, Hong Kong"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tmm.2024.3358062","type":"journal-article","created":{"date-parts":[[2024,1,24]],"date-time":"2024-01-24T18:40:49Z","timestamp":1706121649000},"page":"6891-6905","source":"Crossref","is-referenced-by-count":26,"title":["Multi-Source and Multi-Target Domain Adaptation Based on Dynamic Generator with Attention"],"prefix":"10.1109","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1215-4915","authenticated-orcid":false,"given":"Yuwu","family":"Lu","sequence":"first","affiliation":[{"name":"School of Software, South China Normal University, Foshan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5648-4237","authenticated-orcid":false,"given":"Haoyu","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Software, South China Normal University, Foshan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9088-4759","authenticated-orcid":false,"given":"Biqing","family":"Zeng","sequence":"additional","affiliation":[{"name":"School of Software, South China Normal University, Foshan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4388-3080","authenticated-orcid":false,"given":"Zhihui","family":"Lai","sequence":"additional","affiliation":[{"name":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2924-946X","authenticated-orcid":false,"given":"Xuelong","family":"Li","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3034530"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2844085"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2022.3144250"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2963389"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3050057"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3017213"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2868685"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969125"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01085"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3186531"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2022.3144423"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3065254"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2022.3172372"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3070085"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2021.108697"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2021.3111732"},{"key":"ref18","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","volume-title":"Proc. 35th Int. Conf. Mach. Learn.","author":"Long"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49409-8_35"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.2946704"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3016180"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3073119"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.10.007"},{"key":"ref24","first-page":"8559","article-title":"Adversarial multiple source domain adaptation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Zhao","year":"2018"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00417"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3152052"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3069982"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3026079"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3031161"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3005952"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00366"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2959322"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TETC.2021.3056031"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00393"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015345"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.2965434"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2774041"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2913372"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-009-5152-4"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2814042"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15561-1_16"},{"key":"ref43","article-title":"Caltech-256 object category dataset","author":"Griffin","year":"2007"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.572"},{"key":"ref45","first-page":"343","article-title":"Domain Separation Networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Bousmalis","year":"2016"},{"key":"ref46","first-page":"2208","article-title":"Deep transfer learning with Joint Adaptation networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Long"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2091281"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.274"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2022.3158637"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00517"},{"key":"ref52","first-page":"1645","article-title":"Conditional adversarial domain adaptation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Long","year":"2018"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00149"},{"key":"ref54","first-page":"2579","article-title":"Visualizing data using T-SNE","volume":"9","author":"van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-022-03638-6"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00047"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00897"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-11382-1_18"},{"key":"ref59","first-page":"8026","article-title":"Pytorch: An imperative style, high-performance deep learning library","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Paszke","year":"2019"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-022-04077-z"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/10384483\/10413589.pdf?arnumber=10413589","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,3]],"date-time":"2024-05-03T18:51:48Z","timestamp":1714762308000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10413589\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":60,"URL":"https:\/\/doi.org\/10.1109\/tmm.2024.3358062","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}