{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,11]],"date-time":"2025-01-11T05:34:02Z","timestamp":1736573642410,"version":"3.32.0"},"reference-count":15,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T00:00:00Z","timestamp":1726790400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T00:00:00Z","timestamp":1726790400000},"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","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,9,20]]},"DOI":"10.1109\/icbase63199.2024.10762492","type":"proceedings-article","created":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T18:45:22Z","timestamp":1732646722000},"page":"402-405","source":"Crossref","is-referenced-by-count":0,"title":["Dynamic Graph Convolution Network for Multi-Label Class Incremental Learning"],"prefix":"10.1109","author":[{"given":"Yu","family":"Wang","sequence":"first","affiliation":[{"name":"Zhejiang Ocean University,School of Information Engineering,Zhoushan,China,316022"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anhui","family":"Tan","sequence":"additional","affiliation":[{"name":"Zhejiang Ocean University,School of Information Engineering,Zhoushan,China,316022"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shenming","family":"Gu","sequence":"additional","affiliation":[{"name":"Zhejiang Ocean University,School of Information Engineering,Zhoushan,China,316022"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"key":"ref2","article-title":"Gromov-Wasserstein autoencoders","author":"Nakagawa","year":"2022","journal-title":"arvix preprint arXiv: 2209.07007"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"2935","DOI":"10.1109\/TPAMI.2017.2773081","article-title":"Learning without forgetting","volume":"40","author":"Li","year":"2017","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref4","first-page":"86","article-title":"Podnet: Pooled outputs distillation for small-tasks incremental learning","volume-title":"ECCV 2020: 16th European Conf. Comput. Vis.","author":"Douillard"},{"key":"ref5","first-page":"1504","article-title":"Curriculum temperature for knowledge distillation","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","volume":"37","author":"Li"},{"key":"ref6","article-title":"One-for-all: Bridging the gap between heterogeneous architectures in knowledge distillation","volume-title":"Advances in Neural Information Processing Systems","volume":"36","author":"Hao"},{"key":"ref7","first-page":"2001","article-title":"iCaRL: Incremental classifier and representation learning","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"Rebuffi"},{"key":"ref8","first-page":"24246","article-title":"PCR: Proxy-based contrastive replay for online class-incremental continual learning","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Lin"},{"key":"ref9","article-title":"Saving 100x storage: Prototype replay for reconstructing training sample distribution in class-incremental semantic segmentation","volume-title":"Advances in Neural Information Processing Systems","volume":"36","author":"Chen"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"6969","DOI":"10.1109\/TPAMI.2021.3063496","article-title":"Learning graph convolutional networks for multi-label recognition and applications","volume":"45","author":"Chen","year":"2021","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref11","first-page":"2808","article-title":"Texts as images in prompt tuning for multi-label image recognition","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Guo"},{"key":"ref12","first-page":"18711","article-title":"Knowledge restore and transfer for multi-label class-incremental learning","volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","author":"Dong"},{"key":"ref13","first-page":"2389","article-title":"Overcoming catastrophic forgetting for multi-label class-incremental learning","volume-title":"Proc. IEEE\/CVF Winter Conf. Appl. Comput. Vis.","author":"Song"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref15","first-page":"13208","article-title":"Maintaining discrimination and fairness in class incremental learning","volume-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit","author":"Zhao"}],"event":{"name":"2024 5th International Conference on Big Data &amp; Artificial Intelligence &amp; Software Engineering (ICBASE)","start":{"date-parts":[[2024,9,20]]},"location":"Wenzhou, China","end":{"date-parts":[[2024,9,22]]}},"container-title":["2024 5th International Conference on Big Data &amp;amp; Artificial Intelligence &amp;amp; Software Engineering (ICBASE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10761118\/10761986\/10762492.pdf?arnumber=10762492","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,10]],"date-time":"2025-01-10T19:51:16Z","timestamp":1736538676000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10762492\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,20]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/icbase63199.2024.10762492","relation":{},"subject":[],"published":{"date-parts":[[2024,9,20]]}}}