{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T13:13:23Z","timestamp":1783689203580,"version":"3.55.0"},"reference-count":9,"publisher":"Springer Science and Business Media LLC","issue":"9","license":[{"start":{"date-parts":[[2023,4,19]],"date-time":"2023-04-19T00:00:00Z","timestamp":1681862400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,4,19]],"date-time":"2023-04-19T00:00:00Z","timestamp":1681862400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sci. China Inf. Sci."],"published-print":{"date-parts":[[2023,9]]},"DOI":"10.1007\/s11432-022-3600-y","type":"journal-article","created":{"date-parts":[[2023,5,3]],"date-time":"2023-05-03T10:03:05Z","timestamp":1683108185000},"source":"Crossref","is-referenced-by-count":77,"title":["PyCIL: a Python toolbox for class-incremental learning"],"prefix":"10.1007","volume":"66","author":[{"given":"Da-Wei","family":"Zhou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fu-Yun","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Han-Jia","family":"Ye","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"De-Chuan","family":"Zhan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,4,19]]},"reference":[{"key":"3600_CR1","doi-asserted-by":"publisher","first-page":"3521","DOI":"10.1073\/pnas.1611835114","volume":"114","author":"J Kirkpatrick","year":"2017","unstructured":"Kirkpatrick J, Pascanu R, Rabinowitz N, et al. Overcoming catastrophic forgetting in neural networks. Proc Natl Acad Sci USA, 2017, 114: 3521\u20133526","journal-title":"Proc Natl Acad Sci USA"},{"key":"3600_CR2","doi-asserted-by":"publisher","first-page":"2935","DOI":"10.1109\/TPAMI.2017.2773081","volume":"40","author":"Z Z Li","year":"2018","unstructured":"Li Z Z, Hoiem D. Learning without forgetting. IEEE Trans Pattern Anal Mach Intell, 2018, 40: 2935\u20132947","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"3600_CR3","doi-asserted-by":"crossref","unstructured":"Rebuffi S A, Kolesnikov A, Sperl G, et al. iCaRL: incremental classifier and representation learning. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2017. 2001\u20132010","DOI":"10.1109\/CVPR.2017.587"},{"key":"3600_CR4","unstructured":"Lopez-Paz D, Ranzato M. Gradient episodic memory for continual learning. In: Proceedings of International Conference on Neural Information Processing Systems, 2017. 6467\u20136476"},{"key":"3600_CR5","doi-asserted-by":"crossref","unstructured":"Wu Y, Chen Y, Wang L, et al. Large scale incremental learning. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2019. 374\u2013382","DOI":"10.1109\/CVPR.2019.00046"},{"key":"3600_CR6","doi-asserted-by":"crossref","unstructured":"Zhao B, Xiao X, Gan G, et al. Maintaining discrimination and fairness in class incremental learning. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2020. 13208\u201313217","DOI":"10.1109\/CVPR42600.2020.01322"},{"key":"3600_CR7","doi-asserted-by":"crossref","unstructured":"Douillard A, Cord M, Ollion C, et al. PODNet: pooled outputs distillation for small-tasks incremental learning. In: Proceedings of European Conference on Computer Vision, 2020. 86\u2013102","DOI":"10.1007\/978-3-030-58565-5_6"},{"key":"3600_CR8","doi-asserted-by":"crossref","unstructured":"Yan S, Xie J, He X. DER: dynamically expandable representation for class incremental learning. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021. 3014\u20133023","DOI":"10.1109\/CVPR46437.2021.00303"},{"key":"3600_CR9","doi-asserted-by":"crossref","unstructured":"Zhou D W, Ye H J, Zhan D C. Co-transport for class-incremental learning. In: Proceedings of ACM International Conference on Multimedia, 2021. 1645\u20131654","DOI":"10.1145\/3474085.3475306"}],"container-title":["Science China Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11432-022-3600-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11432-022-3600-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11432-022-3600-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,19]],"date-time":"2024-10-19T20:34:20Z","timestamp":1729370060000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11432-022-3600-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,19]]},"references-count":9,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2023,9]]}},"alternative-id":["3600"],"URL":"https:\/\/doi.org\/10.1007\/s11432-022-3600-y","relation":{},"ISSN":["1674-733X","1869-1919"],"issn-type":[{"value":"1674-733X","type":"print"},{"value":"1869-1919","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4,19]]},"article-number":"197101"}}