{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T14:29:25Z","timestamp":1775744965694,"version":"3.50.1"},"reference-count":63,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["4222046"],"award-info":[{"award-number":["4222046"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61571050"],"award-info":[{"award-number":["61571050"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41771407"],"award-info":[{"award-number":["41771407"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tgrs.2022.3199028","type":"journal-article","created":{"date-parts":[[2022,8,15]],"date-time":"2022-08-15T19:46:02Z","timestamp":1660592762000},"page":"1-16","source":"Crossref","is-referenced-by-count":12,"title":["Weakly Supervised Region of Interest Extraction Based on Uncertainty-Aware Self-Refinement Learning for Remote Sensing Images"],"prefix":"10.1109","volume":"60","author":[{"given":"Yanan","family":"Liu","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence, Beijing Normal University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0888-2330","authenticated-orcid":false,"given":"Libao","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Beijing Normal University, Beijing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/34.730558"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.362"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383267"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2021.3123984"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3091312"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.80"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.04.103"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3061213"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00523"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00688"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00415"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1080\/15481603.2017.1323377"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref16","first-page":"1","article-title":"Mixup: Beyond empirical risk minimization","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Zhang"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3156\/jsoft.29.5_177_2"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0197-0"},{"key":"ref19","article-title":"An introduction to image synthesis with generative adversarial nets","author":"Huang","year":"2018","journal-title":"arXiv:1803.04469"},{"key":"ref20","first-page":"1","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Radford"},{"key":"ref21","first-page":"214","article-title":"Wasserstein generative adversarial networks","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Arjovsky"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3463475"},{"key":"ref23","first-page":"1","article-title":"Auto-encoding variational Bayes","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Kingma"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00148"},{"key":"ref25","article-title":"Autoencoding beyond pixels using a learned similarity metric","author":"Larsen","year":"2015","journal-title":"arXiv:1512.09300"},{"key":"ref26","article-title":"Data augmentation generative adversarial networks","author":"Antoniou","year":"2017","journal-title":"arXiv:1711.04340"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_44"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2890413"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2884898"},{"key":"ref30","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","author":"Krizhevsky"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299184"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.563"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_50"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00326"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00766"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.404"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3045708"},{"key":"ref40","first-page":"7354","article-title":"Self-attention generative adversarial networks","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Zhang"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i2.16269"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.107858"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.687"},{"key":"ref44","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Simonyan"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i4.16450"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.371"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00014"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3152527"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00959"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-018-0556-3"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00747"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/3446776"},{"key":"ref53","article-title":"Unsupervised label noise modeling and loss correction","author":"Arazo","year":"2019","journal-title":"arXiv:1904.11238"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1979.4310076"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2012.2225034"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2014.2319736"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2015.2394241"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00097"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00144"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1080\/15481603.2018.1454391"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2022.3141996"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2983686"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/9633014\/09857944.pdf?arnumber=9857944","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T05:10:50Z","timestamp":1709356250000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9857944\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":63,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2022.3199028","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}