{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T16:21:58Z","timestamp":1775578918206,"version":"3.50.1"},"reference-count":82,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100018537","name":"National Science and Technology Major Project","doi-asserted-by":"publisher","award":["2022ZD0119004"],"award-info":[{"award-number":["2022ZD0119004"]}],"id":[{"id":"10.13039\/501100018537","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62176198"],"award-info":[{"award-number":["62176198"]}],"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":["U22A2096"],"award-info":[{"award-number":["U22A2096"]}],"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":["62036007"],"award-info":[{"award-number":["62036007"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research and Development Program of Shaanxi Province","award":["2024GX-YBXM-135"],"award-info":[{"award-number":["2024GX-YBXM-135"]}]},{"name":"Key Laboratory of Big Data Intelligent Computing","award":["BDIC-2023-A-004"],"award-info":[{"award-number":["BDIC-2023-A-004"]}]},{"name":"Shaanxi Province Core Technology Research and Development Project","award":["2024QY2-GJHX-11"],"award-info":[{"award-number":["2024QY2-GJHX-11"]}]},{"name":"CCF-Baidu Open Fund"},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["QTZX23042"],"award-info":[{"award-number":["QTZX23042"]}],"id":[{"id":"10.13039\/501100012226","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":[[2025,8]]},"DOI":"10.1109\/tcsvt.2025.3547916","type":"journal-article","created":{"date-parts":[[2025,3,4]],"date-time":"2025-03-04T13:54:00Z","timestamp":1741096440000},"page":"7485-7498","source":"Crossref","is-referenced-by-count":5,"title":["Achieving Plasticity-Stability Trade-Off in Continual Learning Through Adaptive Orthogonal Projection"],"prefix":"10.1109","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4603-847X","authenticated-orcid":false,"given":"De","family":"Cheng","sequence":"first","affiliation":[{"name":"State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi’an, Shanxi, China"}]},{"given":"Yusong","family":"Hu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi’an, Shanxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4695-6134","authenticated-orcid":false,"given":"Nannan","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi’an, Shanxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8369-8886","authenticated-orcid":false,"given":"Dingwen","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Automation, Northwestern Polytechnical University, Xi’an, Shanxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7985-0037","authenticated-orcid":false,"given":"Xinbo","family":"Gao","sequence":"additional","affiliation":[{"name":"Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1","article-title":"Uncertainty-based continual learning with adaptive regularization","volume-title":"Proc. Neural Inf. Process. Syst.","volume":"32","author":"Ahn"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_9"},{"key":"ref3","first-page":"11849","article-title":"Online continual learning with maximal interfered retrieval","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Aljundi"},{"key":"ref4","first-page":"1","article-title":"Gradient based sample selection for online continual learning","volume-title":"Proc. Neural Inf. Process. Syst.","volume":"32","author":"Aljundi"},{"key":"ref5","first-page":"1","article-title":"CPR: Classifier-projection regularization for continual learning","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Cha"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_33"},{"key":"ref7","first-page":"1","article-title":"Efficient lifelong learning with A-GEM","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Chaudhry"},{"key":"ref8","first-page":"17466","article-title":"Mitigating forgetting in online continual learning via instance-aware parameterization","volume-title":"Proc. Neural Inf. Process. Syst.","volume":"33","author":"Chen"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2024.3377136"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2024.3465037"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3169693"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966217"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3304567"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3277018"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00528"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3259016"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3151511"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-016-9389-5"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i6.20634"},{"key":"ref20","first-page":"1023","article-title":"Improved schemes for episodic memory-based lifelong learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Guo"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58598-3_28"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_38"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3246049"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3196092"},{"key":"ref25","first-page":"1","article-title":"Overcoming catastrophic forgetting for continual learning via model adaptation","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Hu"},{"key":"ref26","first-page":"1","article-title":"Task-aware orthogonal sparse network for exploring shared knowledge in continual learning","volume-title":"Proc. 41st Int. Conf. Mach. Learn.","author":"Hu"},{"key":"ref27","first-page":"1","article-title":"Compacting, picking and growing for unforgetting continual learning","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Hung"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11595"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3292359"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-023-01775-0"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19809-0_13"},{"key":"ref33","first-page":"17492","article-title":"Parameter-level soft-masking for continual learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Konishi"},{"key":"ref34","volume-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00040"},{"key":"ref36","first-page":"1","article-title":"Overcoming catastrophic forgetting by incremental moment matching","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Lee"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3010581"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3376197"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2773081"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00755"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00019"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3219605"},{"key":"ref43","first-page":"1","article-title":"TRGP: Trust region gradient projection for continual learning","volume-title":"Proc. 10th Int. Conf. Learn. Represent.","author":"Lin"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3144183"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58574-7_42"},{"key":"ref46","first-page":"1","article-title":"Gradient episodic memory for continual learning","volume-title":"Proc. Neural Inf. Process. Syst.","author":"L\u00f3pez-Paz"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5981"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3007548"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3294495"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_31"},{"key":"ref51","first-page":"12648","article-title":"Random path selection for continual learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Rajasegaran"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.148"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/0967-0661(96)82838-3"},{"key":"ref54","first-page":"1","article-title":"Gradient projection memory for continual learning","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Saha"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3212317"},{"key":"ref56","first-page":"1","article-title":"Continual learning with deep generative replay","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Shin"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3382513"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2927369"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.3005311"},{"key":"ref60","first-page":"1","article-title":"Continual learning with hypernetworks","volume-title":"Proc. 8th Int. Conf. Learn. Represent. (ICLR)","author":"Oswald"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3111019"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3004249"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2024.3397048"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00025"},{"key":"ref65","first-page":"1103","article-title":"Matrix computations","author":"Wilkinson","year":"2003","journal-title":"Encyclopedia of Computer Science"},{"key":"ref66","first-page":"5962","article-title":"Memory replay GANs: Learning to generate new categories without forgetting","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Wu"},{"key":"ref67","article-title":"Tiny ImageNet challenge","author":"Wu","year":"2017"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00672"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2023.3291588"},{"key":"ref70","first-page":"1","article-title":"Reinforced continual learning","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Xu"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00783"},{"key":"ref72","first-page":"94","article-title":"Continual learning with dynamic sparse training: Exploring algorithms for effective model updates","volume-title":"Proc. Conf. Parsimony Learn.","author":"Yildirim"},{"key":"ref73","first-page":"1","article-title":"Scalable and order-robust continual learning with additive parameter decomposition","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Yoon"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3285221"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0080-x"},{"key":"ref76","first-page":"3987","article-title":"Continual learning through synaptic intelligence","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zenke"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3263112"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3306915"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3072041"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00362"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3104882"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW63382.2024.00417"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/76\/11114024\/10909614.pdf?arnumber=10909614","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,6]],"date-time":"2025-08-06T18:02:05Z","timestamp":1754503325000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10909614\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8]]},"references-count":82,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2025.3547916","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"value":"1051-8215","type":"print"},{"value":"1558-2205","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8]]}}}