{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:14:20Z","timestamp":1740132860875,"version":"3.37.3"},"reference-count":29,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100013290","name":"National Key R&D Program of China","doi-asserted-by":"publisher","award":["2020AAA0107400"],"award-info":[{"award-number":["2020AAA0107400"]}],"id":[{"id":"10.13039\/501100013290","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Zhejiang Provincial Natural Science Foundation of China","award":["LR19F020004"],"award-info":[{"award-number":["LR19F020004"]}]},{"name":"Key Scientific Technological Innovation Research"},{"DOI":"10.13039\/501100005240","name":"Ministry of Education","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100005240","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012659","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U20A20222"],"award-info":[{"award-number":["U20A20222"]}],"id":[{"id":"10.13039\/501100012659","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/lsp.2021.3094174","type":"journal-article","created":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T19:38:20Z","timestamp":1625168300000},"page":"1430-1434","source":"Crossref","is-referenced-by-count":0,"title":["Progressive Class-Based Expansion Learning for Image Classification"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5242-138X","authenticated-orcid":false,"given":"Hui","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8906-4534","authenticated-orcid":false,"given":"Hanbin","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3023-1662","authenticated-orcid":false,"given":"Xi","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553380"},{"key":"ref11","first-page":"751","article-title":"From baby steps to leapfrog: How less is more in unsupervised dependency parsing","author":"spitkovsky","year":"2010","journal-title":"Proc North Amer Chapter Assoc Comput Linguistics"},{"key":"ref12","first-page":"109","article-title":"Teaching classification boundaries to humans","author":"basu","year":"2013","journal-title":"Proc Amer Assoc Artif Intell"},{"key":"ref13","first-page":"1311","article-title":"Automated curriculum learning for neural networks","author":"graves","year":"2017","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2020.3024794"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3069908"},{"key":"ref16","first-page":"1189","article-title":"Self-paced learning for latent variable models","author":"kumar","year":"2010","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref17","first-page":"2078","article-title":"Self-paced learning with diversity","author":"jiang","year":"2014","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref18","first-page":"2694","article-title":"Self-paced curriculum learning","author":"jiang","year":"2015","journal-title":"Proc Amer Assoc Artif Intell"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.05.043"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.128"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"article-title":"Learning multiple layers of features from tiny images","year":"2009","author":"krizhevsky","key":"ref27"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref29","first-page":"1","article-title":"Theano: A CPU and GPU math expression compiler","author":"bergstra","year":"2010","journal-title":"Proc Sci Comput Python Conf"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729586"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2018.2850013"},{"key":"ref2","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1038\/323533a0","article-title":"Learning representations by back-propagating errors","volume":"323","author":"rumelhart","year":"1986","journal-title":"Nature"},{"key":"ref1","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2619352"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.cviu.2021.103166","article-title":"Curriculum self-paced learning for cross-domain object detection","volume":"204","author":"soviany","year":"2021","journal-title":"Comput Vision Image Understanding"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2843295"},{"key":"ref24","first-page":"21653","article-title":"Curriculum by smoothing","author":"sinha","year":"2020","journal-title":"Neural Inf Process Syst"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.4324\/9781410612403"},{"key":"ref26","first-page":"1","article-title":"When do curricula work","author":"wu","year":"2021","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref25","first-page":"8602","article-title":"Curriculum learning by dynamic instance hardness","author":"zhou","year":"2020","journal-title":"Neural Inf Process Syst"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/97\/9325893\/09470984.pdf?arnumber=9470984","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:50:34Z","timestamp":1652194234000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9470984\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/lsp.2021.3094174","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"type":"print","value":"1070-9908"},{"type":"electronic","value":"1558-2361"}],"subject":[],"published":{"date-parts":[[2021]]}}}