{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T18:47:51Z","timestamp":1743014871992,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":32,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819755875"},{"type":"electronic","value":"9789819755882"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-981-97-5588-2_22","type":"book-chapter","created":{"date-parts":[[2024,8,12]],"date-time":"2024-08-12T18:02:48Z","timestamp":1723485768000},"page":"251-263","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["FRMM: Feature Reprojection for Exemplar-Free Class-Incremental Learning"],"prefix":"10.1007","author":[{"given":"Hao","family":"Wang","sequence":"first","affiliation":[]},{"given":"Jing","family":"Chen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,8,13]]},"reference":[{"issue":"7","key":"22_CR1","first-page":"3366","volume":"44","author":"M De Lange","year":"2021","unstructured":"De Lange, M., et al.: A continual learning survey: defying forgetting in classification tasks. IEEE Trans. Pattern Anal. Mach. Intell. 44(7), 3366\u20133385 (2021)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"22_CR2","first-page":"5065","volume":"35","author":"G Kim","year":"2022","unstructured":"Kim, G., Xiao, C., Konishi, T., Ke, Z., Liu, B.: A theoretical study on solving continual learning. Adv. Neural. Inf. Process. Syst. 35, 5065\u20135079 (2022)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"22_CR3","doi-asserted-by":"crossref","unstructured":"Rebuffi, S.A., Kolesnikov, A., Sperl, G., Lampert, C.H.: Icarl: Incremental classifier and representation learning. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2001\u20132010 (2017)","DOI":"10.1109\/CVPR.2017.587"},{"key":"22_CR4","doi-asserted-by":"crossref","unstructured":"Zhou, D.W., Wang, Q.W., Ye, H.J., Zhan, D.C.: A model or 603 exemplars: Towards memory-efficient class-incremental learning. In: The Eleventh International Conference on Learning Representations (2022)","DOI":"10.1145\/3474085.3475306"},{"key":"22_CR5","doi-asserted-by":"publisher","first-page":"5632","DOI":"10.1109\/TPAMI.2024.3367329","volume":"46","author":"L Wang","year":"2024","unstructured":"Wang, L., Zhang, X., Su, H., Zhu, J.: A comprehensive survey of continual learning: theory, method and application. IEEE Trans. Pattern Anal. Mach. Intell. 46, 5362\u20135383 (2024)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"13","key":"22_CR6","doi-asserted-by":"publisher","first-page":"3521","DOI":"10.1073\/pnas.1611835114","volume":"114","author":"J Kirkpatrick","year":"2017","unstructured":"Kirkpatrick, J., et al.: Overcoming catastrophic forgetting in neural networks. Proc. Natl. Acad. Sci. 114(13), 3521\u20133526 (2017)","journal-title":"Proc. Natl. Acad. Sci."},{"key":"22_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"614","DOI":"10.1007\/978-3-319-46493-0_37","volume-title":"Computer Vision \u2013 ECCV 2016","author":"Z Li","year":"2016","unstructured":"Li, Z., Hoiem, D.: Learning without forgetting. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9908, pp. 614\u2013629. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46493-0_37"},{"issue":"11","key":"22_CR8","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1145\/3422622","volume":"63","author":"I Goodfellow","year":"2020","unstructured":"Goodfellow, I., et al.: Generative adversarial networks. Commun. ACM 63(11), 139\u2013144 (2020)","journal-title":"Commun. ACM"},{"key":"22_CR9","unstructured":"Shin, H., Lee, J.K., Kim, J., Kim, J.: Continual learning with deep generative replay. Adv. Neural Inf. Process. Syst. 30 (2017)"},{"key":"22_CR10","unstructured":"Ostapenko, O., Lesort, T., Rodr\u00edguez, P., Arefin, M.R., Douillard, A., Rish, I., Charlin, L.: Continual learning with foundation models: an empirical study of latent replay. In: Conference on Lifelong Learning Agents, pp. 60\u201391. PMLR (2022)"},{"key":"22_CR11","doi-asserted-by":"crossref","unstructured":"Verma, V.K., Liang, K.J., Mehta, N., Rai, P., Carin, L.: Efficient feature transformations for discriminative and generative continual learning. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 13865\u201313875 (2021)","DOI":"10.1109\/CVPR46437.2021.01365"},{"key":"22_CR12","doi-asserted-by":"crossref","unstructured":"Zhu, F., Zhang, X.Y., Wang, C., Yin, F., Liu, C.L.: Prototype augmentation and self-supervision for incremental learning. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5871\u20135880 (2021)","DOI":"10.1109\/CVPR46437.2021.00581"},{"key":"22_CR13","doi-asserted-by":"crossref","unstructured":"Petit, G., Popescu, A., Schindler, H., Picard, D., Delezoide, B.: Fetril: feature translation for exemplar-free class-incremental learning. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pp. 3911\u20133920 (2023)","DOI":"10.1109\/WACV56688.2023.00390"},{"key":"22_CR14","unstructured":"Goswami, D., Liu, Y., Twardowski, B., van de Weijer, J.: Fecam: exploiting the heterogeneity of class distributions in exemplar-free continual learning. In: Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M., Levine, S. (eds.) Advances in Neural Information Processing Systems. vol. 36, pp. 6582\u20136595. Curran Associates, Inc. (2023)"},{"key":"22_CR15","doi-asserted-by":"publisher","first-page":"3893","DOI":"10.1007\/s11063-021-10570-2","volume":"53","author":"H Zhuang","year":"2021","unstructured":"Zhuang, H., Lin, Z., Toh, K.A.: Correlation projection for analytic learning of a classification network. Neural. Process. Lett. 53, 3893\u20133914 (2021)","journal-title":"Neural. Process. Lett."},{"key":"22_CR16","unstructured":"Zhuang, H., Weng, Z., Wei, H., XIE, R., Toh, K.A., Lin, Z.: ACIL: analytic class-incremental learning with absolute memorization and privacy protection. In: Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K., Oh, A. (eds.) Advances in Neural Information Processing Systems, vol. 35, pp. 11602\u201311614. Curran Associates, Inc. (2022)"},{"key":"22_CR17","doi-asserted-by":"crossref","unstructured":"Zhuang, H., Weng, Z., He, R., Lin, Z., Zeng, Z.: GKEAL: Gaussian kernel embedded analytic learning for few-shot class incremental task. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 7746\u20137755 (2023)","DOI":"10.1109\/CVPR52729.2023.00748"},{"key":"22_CR18","doi-asserted-by":"crossref","unstructured":"Zhuang, H., He, R., Tong, K., Zeng, Z., Chen, C., Lin, Z.: DS-AL: a dual-stream analytic learning for exemplar-free class-incremental learning. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, no. 15, 17237\u201317244 (2024)","DOI":"10.1609\/aaai.v38i15.29670"},{"issue":"11","key":"22_CR19","first-page":"2579","volume":"9","author":"L Van der Maaten","year":"2008","unstructured":"Van der Maaten, L., Hinton, G.: Visualizing high-dimensional data using t-sne. J. Mach. Learn. Res. 9(11), 2579\u20132605 (2008)","journal-title":"J. Mach. Learn. Res."},{"key":"22_CR20","first-page":"14306","volume":"34","author":"F Zhu","year":"2021","unstructured":"Zhu, F., Cheng, Z., Zhang, X.Y., Liu, C.I.: Class-incremental learning via dual augmentation. Adv. Neural. Inf. Process. Syst. 34, 14306\u201314318 (2021)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"22_CR21","unstructured":"Rype\u015b\u0107, G., Cygert, S., Khan, V., Trzcinski, T., Zieli\u0144ski, B.M., Twardowski, B.: Divide and not forget: ensemble of selectively trained experts in continual learning. In: The Twelfth International Conference on Learning Representations (2023)"},{"key":"22_CR22","first-page":"21","volume":"1050","author":"JL Ba","year":"2016","unstructured":"Ba, J.L., Kiros, J.R., Hinton, G.E.: Layer normalization. Stat 1050, 21 (2016)","journal-title":"Stat"},{"key":"22_CR23","unstructured":"Krizhevsky, A., Hinton, G., et al.: Learning multiple layers of features from tiny images. Master\u2019s thesis, University of Tront (2009)"},{"key":"22_CR24","unstructured":"Le, Y., Yang, X.: Tiny imagenet visual recognition challenge. CS 231N 7(7), 3 (2015)"},{"issue":"3","key":"22_CR25","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","volume":"115","author":"O Russakovsky","year":"2015","unstructured":"Russakovsky, O., et al.: Imagenet large scale visual recognition challenge. Int. J. Comput. Vision 115(3), 211\u2013252 (2015). https:\/\/doi.org\/10.1007\/s11263-015-0816-y","journal-title":"Int. J. Comput. Vision"},{"issue":"9","key":"22_CR26","doi-asserted-by":"publisher","first-page":"197101","DOI":"10.1007\/s11432-022-3600-y","volume":"66","author":"DW Zhou","year":"2023","unstructured":"Zhou, D.W., Wang, F.Y., Ye, H.J., Zhan, D.C.: Pycil: a python toolbox for class-incremental learning. Sci. China Inf. Sci. 66(9), 197101\u2013197102 (2023). https:\/\/doi.org\/10.1007\/s11432-022-3600-y","journal-title":"Sci. China Inf. Sci."},{"key":"22_CR27","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"22_CR28","doi-asserted-by":"crossref","unstructured":"Zhu, K., Zhai, W., Cao, Y., Luo, J., Zha, Z.J.: Self-sustaining representation expansion for non-exemplar class-incremental learning. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 9296\u20139305 (2022)","DOI":"10.1109\/CVPR52688.2022.00908"},{"key":"22_CR29","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1007\/978-3-030-11012-3_11","volume-title":"Computer Vision \u2013 ECCV 2018 Workshops","author":"E Belouadah","year":"2019","unstructured":"Belouadah, E., Popescu, A.: Deesil: deep-shallow incremental learning. In: Leal-Taix\u00e9, L., Roth, S. (eds.) ECCV 2018. LNCS, vol. 11130, pp. 151\u2013157. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-11012-3_11"},{"key":"22_CR30","doi-asserted-by":"crossref","unstructured":"Hou, S., Pan, X., Loy, C.C., Wang, Z., Lin, D.: Learning a unified classifier incrementally via rebalancing. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 831\u2013839 (2019)","DOI":"10.1109\/CVPR.2019.00092"},{"key":"22_CR31","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"699","DOI":"10.1007\/978-3-030-58574-7_42","volume-title":"Computer Vision \u2013 ECCV 2020","author":"Y Liu","year":"2020","unstructured":"Liu, Y., Parisot, S., Slabaugh, G., Jia, X., Leonardis, A., Tuytelaars, T.: More classifiers, less forgetting: a generic multi-classifier paradigm for incremental learning. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12371, pp. 699\u2013716. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58574-7_42"},{"key":"22_CR32","doi-asserted-by":"crossref","unstructured":"Shi, W., Ye, M.: Prototype reminiscence and augmented asymmetric knowledge aggregation for non-exemplar class-incremental learning. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 1772\u20131781 (2023)","DOI":"10.1109\/ICCV51070.2023.00170"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-5588-2_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,12]],"date-time":"2024-08-12T18:05:54Z","timestamp":1723485954000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-5588-2_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819755875","9789819755882"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-5588-2_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"13 August 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tianjin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 August 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 August 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2024\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}