{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T11:26:42Z","timestamp":1764588402470,"version":"3.37.3"},"reference-count":20,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Natural Science Fund for Key International Collaboration","award":["62120106005"],"award-info":[{"award-number":["62120106005"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Automat. Mag."],"published-print":{"date-parts":[[2023,6]]},"DOI":"10.1109\/mra.2023.3258743","type":"journal-article","created":{"date-parts":[[2023,4,11]],"date-time":"2023-04-11T17:26:32Z","timestamp":1681233992000},"page":"10-21","source":"Crossref","is-referenced-by-count":2,"title":["Toward Lifelong Learning for Industrial Defect Classification: A Proposed Framework"],"prefix":"10.1109","volume":"30","author":[{"given":"Jingyu","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Computer Science and Technology, Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9816-0103","authenticated-orcid":false,"given":"Di","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"}]},{"given":"Yupei","family":"Wu","sequence":"additional","affiliation":[{"name":"Aqrose Technology, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5968-5989","authenticated-orcid":false,"given":"Xinying","family":"Xu","sequence":"additional","affiliation":[{"name":"College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4042-6044","authenticated-orcid":false,"given":"Huaping","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Tsinghua University, Beijing National Research Center for Information Science and Technology, Beijing, China"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00810"},{"article-title":"Progressive neural networks","year":"2016","author":"rusu","key":"ref12"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2773081"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.753"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-26387-3_41"},{"key":"ref11","first-page":"2994","article-title":"Continual learning with deep generative replay","volume":"30","author":"shin","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref10","first-page":"6470","article-title":"Gradient episodic memory for continual learning","volume":"30","author":"lopez-paz","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3057446"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-018-1433-8"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00528"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"key":"ref19","first-page":"1","article-title":"Continual learning with recursive gradient optimization","author":"liu","year":"0","journal-title":"Proc Int Conf Representation Learn (ICLR)"},{"article-title":"Gradient projection memory for continual learning","year":"2021","author":"saha","key":"ref18"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.3028008"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01145"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.587"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2012.6252468"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-018-3022-6"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2018.12.043"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-019-01476-x"}],"container-title":["IEEE Robotics &amp; Automation Magazine"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/100\/10153106\/10098824.pdf?arnumber=10098824","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,3]],"date-time":"2023-07-03T18:00:21Z","timestamp":1688407221000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10098824\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6]]},"references-count":20,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/mra.2023.3258743","relation":{},"ISSN":["1070-9932","1558-223X"],"issn-type":[{"type":"print","value":"1070-9932"},{"type":"electronic","value":"1558-223X"}],"subject":[],"published":{"date-parts":[[2023,6]]}}}