{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T20:07:18Z","timestamp":1780949238821,"version":"3.54.1"},"reference-count":65,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"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":["62471405"],"award-info":[{"award-number":["62471405"]}],"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":["62331003"],"award-info":[{"award-number":["62331003"]}],"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":["62301451"],"award-info":[{"award-number":["62301451"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Jiangsu Basic Research Program-Natural Science Foundation","award":["BK20241814"],"award-info":[{"award-number":["BK20241814"]}]},{"name":"Suzhou Basic Research Program","award":["SYG202316"],"award-info":[{"award-number":["SYG202316"]}]},{"name":"Xi'an Jiaotong-Liverpool University","award":["REF-22-01-010"],"award-info":[{"award-number":["REF-22-01-010"]}]},{"DOI":"10.13039\/501100001830","name":"XJTLU AI University Research Centre, Jiangsu Province Engineering Research Centre of Data Science and Cognitive Computation at XJTLU and Suzhou Industrial Park (SIP) AI innovation platform","doi-asserted-by":"publisher","award":["YZCXPT2022103"],"award-info":[{"award-number":["YZCXPT2022103"]}],"id":[{"id":"10.13039\/501100001830","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1109\/tcsvt.2026.3662383","type":"journal-article","created":{"date-parts":[[2026,2,9]],"date-time":"2026-02-09T21:09:48Z","timestamp":1770671388000},"page":"8915-8929","source":"Crossref","is-referenced-by-count":0,"title":["CoMasTRe+: Unleashing Disentangled Continual Segmentation With Mixture of Continual Adapters"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-6656-3523","authenticated-orcid":false,"given":"Yizheng","family":"Gong","sequence":"first","affiliation":[{"name":"Department of Intelligent Science, Xi&#x2019;an Jiaotong-Liverpool University, Suzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-6749-4318","authenticated-orcid":false,"given":"Siyue","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Intelligent Science, Xi&#x2019;an Jiaotong-Liverpool University, Suzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2148-6279","authenticated-orcid":false,"given":"Liquan","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Communication and Information Engineering, Shanghai University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9416-2486","authenticated-orcid":false,"given":"Jimin","family":"Xiao","sequence":"additional","affiliation":[{"name":"Department of Intelligent Science, Xi&#x2019;an Jiaotong-Liverpool University, Suzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref2","article-title":"Rethinking Atrous convolution for semantic image segmentation","author":"Chen","year":"2017","journal-title":"arXiv:1706.05587"},{"key":"ref3","first-page":"1","article-title":"DINO: DETR with improved DeNoising anchor boxes for end-to-end object detection","volume-title":"Proc. ICLR","author":"Zhang"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0605184103"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/nature01276"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00925"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00403"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.534"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-019-01984-4"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/S1364-6613(99)01294-2"},{"key":"ref11","first-page":"17864","article-title":"Per-pixel classification is not all you need for semantic segmentation","volume-title":"Proc. NeurIPS","author":"Cheng"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00135"},{"key":"ref13","first-page":"3519","article-title":"Similarity of neural network representations revisited","volume-title":"Proc. ICML","author":"Kornblith"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00369"},{"key":"ref15","first-page":"1","article-title":"Anatomy of catastrophic forgetting: Hidden representations and task semantics","volume-title":"Proc. ICLR","author":"Ramasesh"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref17","first-page":"1","article-title":"Outrageously large neural networks: The sparsely-gated mixture-of-experts layer","volume-title":"Proc. ICLR","author":"Shazeer"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19818-2_17"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00292"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_26"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00717"},{"key":"ref23","first-page":"12077","article-title":"SegFormer: Simple and efficient design for semantic segmentation with transformers","volume-title":"Proc. NeurIPS","author":"Xie"},{"key":"ref24","first-page":"823","article-title":"Mask matching transformer for few-shot segmentation","volume-title":"Proc. NeurIPS","author":"Jiao"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2773081"},{"key":"ref27","first-page":"1","article-title":"Learning to learn without forgetting by maximizing transfer and minimizing interference","volume-title":"Proc. ICLR","author":"Riemer"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3382513"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00117"},{"key":"ref30","first-page":"10919","article-title":"SSUL: Semantic segmentation with unknown label for exemplar-based class-incremental learning","volume-title":"Proc. NeurIPS","author":"Cha"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01636"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00692"},{"key":"ref33","first-page":"24340","article-title":"Mining unseen classes via regional objectness: A simple baseline for incremental segmentation","volume-title":"Proc. NeurIPS","author":"Zhang"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00294"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00697"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00696"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00084"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00433"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00121"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3462946"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3427720"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00303"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19806-9_23"},{"key":"ref44","first-page":"1","article-title":"A model or 603 exemplars: Towards memory-efficient class-incremental learning","volume-title":"Proc. ICLR","author":"Zhou"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00907"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00024"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19809-0_36"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3502837"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00322"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1002\/nav.3800020109"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67558-9_28"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref53","first-page":"15288","article-title":"Calibrating deep neural networks using focal loss","volume-title":"Proc. NeurIPS","author":"Mukhoti"},{"key":"ref54","first-page":"29335","article-title":"DSelect-k: Differentiable selection in the mixture of experts with applications to multi-task learning","volume-title":"Proc. NeurIPS","author":"Hazimeh"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298640"},{"key":"ref56","first-page":"23631","article-title":"Mitigating neural network overconfidence with logit normalization","volume-title":"Proc. ICML","author":"Wei"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3163806"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19818-2_20"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19830-4_4"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126343"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.544"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00963"},{"key":"ref64","first-page":"1","article-title":"Decoupled weight decay regularization","volume-title":"Proc. ICLR","author":"Loshchilov"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/76\/11552944\/11382015.pdf?arnumber=11382015","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T19:55:07Z","timestamp":1780948507000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11382015\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":65,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2026.3662383","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"value":"1051-8215","type":"print"},{"value":"1558-2205","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6]]}}}