{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T15:31:18Z","timestamp":1780500678275,"version":"3.54.1"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2017YFA0105203"],"award-info":[{"award-number":["2017YFA0105203"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Development Fund of Macau","award":["0070\/2020\/AMJ"],"award-info":[{"award-number":["0070\/2020\/AMJ"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U21A20515"],"award-info":[{"award-number":["U21A20515"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002367","name":"Strategic Priority Research Program of the Chinese Academy of Sciences","doi-asserted-by":"publisher","award":["XDB32040200"],"award-info":[{"award-number":["XDB32040200"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002367","name":"International Partnership Program of CAS","doi-asserted-by":"publisher","award":["173211KYSB20200021"],"award-info":[{"award-number":["173211KYSB20200021"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Beijing Academy of Artificial Intelligence"},{"name":"Open Research Projects of Zhejiang Laboratory","award":["2021PF0AB01"],"award-info":[{"award-number":["2021PF0AB01"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tip.2022.3176130","type":"journal-article","created":{"date-parts":[[2022,5,24]],"date-time":"2022-05-24T19:41:54Z","timestamp":1653421314000},"page":"3825-3837","source":"Crossref","is-referenced-by-count":36,"title":["CKDF: Cascaded Knowledge Distillation Framework for Robust Incremental Learning"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9874-3571","authenticated-orcid":false,"given":"Kunchi","family":"Li","sequence":"first","affiliation":[{"name":"National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4735-2885","authenticated-orcid":false,"given":"Jun","family":"Wan","sequence":"additional","affiliation":[{"name":"National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9008-6658","authenticated-orcid":false,"given":"Shan","family":"Yu","sequence":"additional","affiliation":[{"name":"National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2773081"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/s0079-7421(08)60536-8"},{"key":"ref3","article-title":"An empirical investigation of catastrophic forgetting in gradient-based neural networks","author":"Goodfellow","year":"2013","journal-title":"arXiv:1312.6211"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.587"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00046"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01258-8_15"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58517-4_41"},{"key":"ref8","article-title":"Class-incremental learning: Survey and performance evaluation on image classification","author":"Masana","year":"2020","journal-title":"arXiv:2010.15277"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00092"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00088"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i11.17159"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.2200\/s00832ed1v01y201802aim037"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3057446"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"key":"ref15","article-title":"Overcoming catastrophic forgetting by incremental moment matching","author":"Lee","year":"2017","journal-title":"arXiv:1703.08475"},{"key":"ref16","first-page":"3987","article-title":"Continual learning through synaptic intelligence","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zenke"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2018.8545895"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_9"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_33"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0080-x"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i2.16204"},{"key":"ref22","article-title":"PathNet: Evolution channels gradient descent in super neural networks","author":"Fernando","year":"2017","journal-title":"arXiv:1701.08734"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00810"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_5"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2884462"},{"key":"ref26","first-page":"15579","article-title":"Calibrating CNNs for lifelong learning","volume-title":"Proc. NeurIPS","author":"Singh"},{"key":"ref27","article-title":"Continual learning with node-importance based adaptive group sparse regularization","author":"Jung","year":"2020","journal-title":"arXiv:2003.13726"},{"key":"ref28","article-title":"Efficient lifelong learning with A-GEM","author":"Chaudhry","year":"2018","journal-title":"arXiv:1812.00420"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11595"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093365"},{"key":"ref31","first-page":"6467","article-title":"Gradient episodic memory for continual learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Lopez-Paz"},{"key":"ref32","article-title":"Experience replay for continual learning","author":"Rolnick","year":"2018","journal-title":"arXiv:1811.11682"},{"key":"ref33","article-title":"Continual learning in low-rank orthogonal subspaces","author":"Chaudhry","year":"2020","journal-title":"arXiv:2010.11635"},{"key":"ref34","first-page":"3478","article-title":"RMM: Reinforced memory management for class-incremental learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Liu"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00257"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2013.00504"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58529-7_16"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01220"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3469877.3490598"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i2.16213"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00672"},{"key":"ref42","article-title":"FearNet: Brain-inspired model for incremental learning","author":"Kemker","year":"2017","journal-title":"arXiv:1711.10563"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1503.02531"},{"key":"ref44","volume-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"issue":"11","key":"ref47","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"Van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9626658\/09780883.pdf?arnumber=9780883","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T22:46:16Z","timestamp":1705963576000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9780883\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/tip.2022.3176130","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}