{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T16:20:24Z","timestamp":1775578824848,"version":"3.50.1"},"reference-count":62,"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":[{"name":"National Key R&amp;D Program of China","award":["2023YFC3305600"],"award-info":[{"award-number":["2023YFC3305600"]}]},{"name":"Joint Fund of Ministry of Education of China","award":["8091B022149"],"award-info":[{"award-number":["8091B022149"]}]},{"name":"Joint Fund of Ministry of Education of China","award":["8091B02072404"],"award-info":[{"award-number":["8091B02072404"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62132016"],"award-info":[{"award-number":["62132016"]}],"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":["62171343"],"award-info":[{"award-number":["62171343"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Basic Research Program of Shaanxi","award":["2020JC-23"],"award-info":[{"award-number":["2020JC-23"]}]},{"name":"EDB Space Technology Development Programme","award":["S22-19016-STDP"],"award-info":[{"award-number":["S22-19016-STDP"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tmm.2024.3521834","type":"journal-article","created":{"date-parts":[[2024,12,24]],"date-time":"2024-12-24T19:21:58Z","timestamp":1735068118000},"page":"610-621","source":"Crossref","is-referenced-by-count":2,"title":["Memory-Enhanced Confidence Calibration for Class-Incremental Unsupervised Domain Adaptation"],"prefix":"10.1109","volume":"27","author":[{"given":"Jiaping","family":"Yu","sequence":"first","affiliation":[{"name":"School of Electronic Engineering, Xidian University, Xi&#x0027;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5959-2931","authenticated-orcid":false,"given":"Muli","family":"Yang","sequence":"additional","affiliation":[{"name":"Institute for Infocomm Research (I<sup>2<\/sup>R), A*STAR, Singapore"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2024-2678","authenticated-orcid":false,"given":"Aming","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Xidian University, Xi&#x0027;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2620-3247","authenticated-orcid":false,"given":"Cheng","family":"Deng","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Xidian University, Xi&#x0027;an, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.683"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_32"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19827-4_21"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3357258"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511803161"},{"key":"ref8","first-page":"5423","article-title":"Learning semantic representations for unsupervised domain adaptation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Xie","year":"2018"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-68790-8_52"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3146744"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00306"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i3.25407"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-023-01913-8"},{"key":"ref14","first-page":"1627","article-title":"Marginalized denoising autoencoders for domain adaptation","author":"Chen","year":"2012","journal-title":"Proc. Int. Conf. Mach. Learn."},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.293"},{"key":"ref16","first-page":"4119","article-title":"Supervised representation learning: Transfer learning with deep autoencoders","volume-title":"Proc. Int. Joint Conf. Artif. Intell.","author":"Zhuang","year":"2015"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01774"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00924"},{"key":"ref19","first-page":"5102","article-title":"Domain agnostic learning with disentangled representations","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Peng","year":"2019"},{"key":"ref20","first-page":"2595","article-title":"A unified feature disentangler for multi-domain image translation and manipulation","volume-title":"Proc. Adv. Nerual Inf. Process. Syst.","author":"Liu","year":"2018"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3001522"},{"key":"ref22","first-page":"388","article-title":"Incremental and decremental support vector machine learning","volume-title":"Proc. Adv. Nerual Inf. Process. Syst.","author":"Cauwenberghs","year":"2000"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.431"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01258-8_15"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00046"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00040"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01226"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58601-0_4"},{"key":"ref29","article-title":"Deep generative dual memory network for continual learning","author":"Kamra","year":"2017"},{"key":"ref30","article-title":"Distilling the knowledge in a neural network","author":"Hinton","year":"2015","journal-title":"Proc. Adv. Nerual Inf. Process. Syst. Deep Learn. Representation Learn. Workshop"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2773081"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2019.00009"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3208743"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58565-5_6"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00092"},{"key":"ref36","first-page":"819","article-title":"Domain adaptation under target and conditional shift","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zhang","year":"2013"},{"key":"ref37","article-title":"Visual causal feature learning","author":"Chalupka","year":"2015","journal-title":"Proc. Conf. Uncert. Artif. Intell."},{"key":"ref38","first-page":"2839","article-title":"Domain adaptation with conditional transferable components","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Gong","year":"2016"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01077"},{"key":"ref40","first-page":"655","article-title":"Causal intervention for weakly-supervised semantic segmentation","volume-title":"Proc. Adv. Nerual Inf. Process. Syst.","author":"Zhang","year":"2020"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3200578"},{"key":"ref42","first-page":"2734","article-title":"Interventional few-shot learning","volume-title":"Proc. Adv. Nerual Inf. Process. Syst.","author":"Yue","year":"2020"},{"key":"ref43","first-page":"1513","article-title":"Long-tailed classification by keeping the good and removing the bad momentum causal effect","volume-title":"Proc. Adv. Nerual Inf. Process. Syst.","author":"Tang","year":"2020"},{"key":"ref44","first-page":"10869","article-title":"Domain adaptation by using causal inference to predict invariant conditional distributions","volume-title":"Proc. Adv. Nerual Inf. Process. Syst.","author":"Magliacane","year":"2018"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00848"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3379752"},{"key":"ref47","volume-title":"Elements of Causal Inference: Foundations and Learning Algorithms","author":"Peters","year":"2017"},{"key":"ref48","volume-title":"Models, Reasoning and Inference","volume":"19","author":"Pearl","year":"2000"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.265"},{"key":"ref50","article-title":"A neural algorithm of artistic style","author":"Gatys","year":"2015","journal-title":"J. Vis."},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00158"},{"key":"ref52","first-page":"12635","article-title":"Implicit semantic data augmentation for deep networks","volume-title":"Proc. Adv. Nerual Inf. Process. Syst.","author":"Wang","year":"2019"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729694"},{"key":"ref54","first-page":"1180","article-title":"Unsupervised domain adaptation by backpropagation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ganin","year":"2015"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_9"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00310"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58621-8_8"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15561-1_16"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.572"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref61","article-title":"Caltech-256 object category dataset","author":"Griffin","year":"2007"},{"issue":"1","key":"ref62","first-page":"3221","article-title":"Accelerating t-sne using tree-based algorithms","volume":"15","author":"Maaten","year":"2014","journal-title":"J. Mach. Learn. Res."}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6046\/10844992\/10814055.pdf?arnumber=10814055","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:53:34Z","timestamp":1740203614000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10814055\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":62,"URL":"https:\/\/doi.org\/10.1109\/tmm.2024.3521834","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}