{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T18:29:30Z","timestamp":1770834570918,"version":"3.50.1"},"reference-count":33,"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\/501100001348","name":"Agency for Science, Technology and Research (A*STAR) through its Advanced Manufacturing and Engineering (AME) Programmatic Funds","doi-asserted-by":"publisher","award":["A20H6b0151"],"award-info":[{"award-number":["A20H6b0151"]}],"id":[{"id":"10.13039\/501100001348","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tip.2021.3120041","type":"journal-article","created":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T18:25:04Z","timestamp":1634754304000},"page":"8702-8712","source":"Crossref","is-referenced-by-count":12,"title":["Exploring Spatial Diversity for Region-Based Active Learning"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8783-0186","authenticated-orcid":false,"given":"Lile","family":"Cai","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5220-2240","authenticated-orcid":false,"given":"Xun","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lining","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4748-5792","authenticated-orcid":false,"given":"Chuan-Sheng","family":"Foo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/2213556.2213580"},{"key":"ref32","first-page":"102","article-title":"Playing for data: Ground truth from computer games","author":"richter","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref10","article-title":"Bayesian active learning for classification and preference learning","author":"houlsby","year":"2011","journal-title":"arXiv 1112 5745"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015349"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2487575.2487643"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248050"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00976"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00018"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.506"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.313"},{"key":"ref18","first-page":"399","article-title":"Suggestive annotation: A deep active learning framework for biomedical image segmentation","author":"yang","year":"2017","journal-title":"Proc Med Image Comput Comput Assist Intervent 20th Int Conf"},{"key":"ref19","first-page":"580","article-title":"Efficient active learning for image classification and segmentation using a sample selection and conditional generative adversarial network","author":"mahapatra","year":"2018","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervent"},{"key":"ref28","first-page":"801","article-title":"Encoder-decoder with atrous separable convolution for semantic image segmentation","author":"chen","year":"2018","journal-title":"Proc ECCV"},{"key":"ref4","article-title":"Active learning for convolutional neural networks: A core-set approach","author":"sener","year":"2018","journal-title":"Proc ICLR"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00017"},{"key":"ref3","first-page":"1183","article-title":"Deep Bayesian active learning with image data","author":"gal","year":"2017","journal-title":"Proc ICML"},{"key":"ref6","article-title":"CEREALS&#x2013;cost-effective region-based active learning for semantic segmentation","author":"mackowiak","year":"2018","journal-title":"Proc BMVC"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-2099-5_1"},{"key":"ref7","article-title":"Reinforced active learning for image segmentation","author":"casanova","year":"2020","journal-title":"Proc ICLR"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0781-x"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206627"},{"key":"ref1","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-031-01560-1","author":"settles","year":"2012","journal-title":"Active Learning"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00607"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00945"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2019.00123"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/1526709.1526761"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1287\/opre.42.2.299"},{"key":"ref26","author":"everingham","year":"0","journal-title":"The PASCAL Visual Object Classes Challenge 2012 (VOC2012) Results"},{"key":"ref25","article-title":"A survey of deep active learning","author":"ren","year":"2020","journal-title":"arXiv 2009 00236"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9263394\/09580637.pdf?arnumber=9580637","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,13]],"date-time":"2023-01-13T00:38:03Z","timestamp":1673570283000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9580637\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/tip.2021.3120041","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}