{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,13]],"date-time":"2025-09-13T15:48:36Z","timestamp":1757778516851,"version":"3.37.3"},"reference-count":81,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tgrs.2023.3239042","type":"journal-article","created":{"date-parts":[[2023,1,23]],"date-time":"2023-01-23T19:28:22Z","timestamp":1674502102000},"page":"1-19","source":"Crossref","is-referenced-by-count":13,"title":["PICS: Paradigms Integration and Contrastive Selection for Semisupervised Remote Sensing Images Semantic Segmentation"],"prefix":"10.1109","volume":"61","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6427-2812","authenticated-orcid":false,"given":"Xiyu","family":"Qi","sequence":"first","affiliation":[{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9256-3668","authenticated-orcid":false,"given":"Yongqiang","family":"Mao","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7466-0234","authenticated-orcid":false,"given":"Yidan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"}]},{"given":"Yawen","family":"Deng","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2283-1895","authenticated-orcid":false,"given":"Haoran","family":"Wei","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"}]},{"given":"Lei","family":"Wang","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1109\/JSTARS.2020.3005403"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1016\/j.isprsjprs.2017.11.009"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1016\/j.isprsjprs.2022.03.019"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1016\/j.isprsjprs.2020.09.022"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1109\/CVPR.2013.263"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref7","article-title":"Rethinking atrous convolution for semantic image segmentation","author":"Chen","year":"2017","journal-title":"arXiv:1706.05587"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.48550\/arXiv.1802.02611"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.5555\/3524938.3525087"},{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.3390\/rs12020207"},{"key":"ref11","article-title":"Semi-supervised learning by selective training with pseudo labels via confidence estimation","author":"Ishii","year":"2021","journal-title":"arXiv:2103.08193"},{"key":"ref12","first-page":"281","article-title":"Semi-supervised learning by entropy minimization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"367","author":"Grandvalet"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1109\/TGRS.2021.3095832"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1109\/JSTARS.2020.3021098"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1109\/CVPR46437.2021.00264"},{"key":"ref16","first-page":"321","article-title":"Learning with local and global consistency","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Zhou"},{"key":"ref17","article-title":"A three-stage self-training framework for semi-supervised semantic segmentation","author":"Ke","year":"2020","journal-title":"arXiv:2012.00827"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1109\/ACVMOT.2005.107"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1109\/ICPR48806.2021.9413022"},{"key":"ref20","first-page":"3581","article-title":"Semi-supervised learning with deep generative models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Kingma"},{"key":"ref21","article-title":"Temporal ensembling for semi-supervised learning","author":"Laine","year":"2016","journal-title":"arXiv:1610.02242"},{"key":"ref22","article-title":"MixMatch: A holistic approach to semi-supervised learning","author":"Berthelot","year":"2019","journal-title":"arXiv:1905.02249"},{"key":"ref23","first-page":"2304","article-title":"MentorNet: Learning data-driven curriculum for very deep neural networks on corrupted labels","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Jiang"},{"key":"ref24","first-page":"312","article-title":"Unsupervised label noise modeling and loss correction","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Arazo"},{"key":"ref25","article-title":"Co-teaching: Robust training of deep neural networks with extremely noisy labels","author":"Han","year":"2018","journal-title":"arXiv:1804.06872"},{"key":"ref26","first-page":"7164","article-title":"How does disagreement help generalization against label corruption?","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Yu"},{"doi-asserted-by":"publisher","key":"ref27","DOI":"10.1109\/ICCV48922.2021.00934"},{"doi-asserted-by":"publisher","key":"ref28","DOI":"10.1109\/ICCV48922.2021.00811"},{"doi-asserted-by":"publisher","key":"ref29","DOI":"10.1007\/978-3-031-20056-4_39"},{"doi-asserted-by":"publisher","key":"ref30","DOI":"10.1109\/ICPR.2010.579"},{"key":"ref31","article-title":"Semi-supervised learning with ladder networks","author":"Rasmus","year":"2015","journal-title":"arXiv:1507.02672"},{"key":"ref32","first-page":"896","article-title":"Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks","volume-title":"Proc. Workshop Challenges Represent. Learn., ICML","volume":"3","author":"Lee"},{"doi-asserted-by":"publisher","key":"ref33","DOI":"10.48550\/arxiv.1710.09412"},{"doi-asserted-by":"publisher","key":"ref34","DOI":"10.1007\/978-3-319-24574-4_28"},{"doi-asserted-by":"publisher","key":"ref35","DOI":"10.48550\/arXiv.1511.07122"},{"key":"ref36","article-title":"Semantic image segmentation with deep convolutional nets and fully connected CRFs","author":"Chen","year":"2014","journal-title":"arXiv:1412.7062"},{"doi-asserted-by":"publisher","key":"ref37","DOI":"10.1109\/TPAMI.2017.2699184"},{"doi-asserted-by":"publisher","key":"ref38","DOI":"10.1109\/CVPR.2017.189"},{"doi-asserted-by":"publisher","key":"ref39","DOI":"10.1109\/CVPR.2017.660"},{"doi-asserted-by":"publisher","key":"ref40","DOI":"10.1109\/CVPR.2018.00690"},{"doi-asserted-by":"publisher","key":"ref41","DOI":"10.1109\/ICCV.2019.00069"},{"doi-asserted-by":"publisher","key":"ref42","DOI":"10.7551\/mitpress\/6173.003.0032"},{"doi-asserted-by":"publisher","key":"ref43","DOI":"10.1145\/2623330.2623731"},{"key":"ref44","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","author":"Tarvainen","year":"2017","journal-title":"arXiv:1703.01780"},{"doi-asserted-by":"publisher","key":"ref45","DOI":"10.1109\/TIT.1970.1054472"},{"doi-asserted-by":"publisher","key":"ref46","DOI":"10.1109\/CVPR42600.2020.01070"},{"key":"ref47","article-title":"Unsupervised data augmentation for consistency training","author":"Xie","year":"2019","journal-title":"arXiv:1904.12848"},{"key":"ref48","article-title":"ReMixMatch: Semi-supervised learning with distribution alignment and augmentation anchoring","author":"Berthelot","year":"2019","journal-title":"arXiv:1911.09785"},{"doi-asserted-by":"publisher","key":"ref49","DOI":"10.1109\/TGRS.2017.2783902"},{"key":"ref50","first-page":"1","article-title":"Semi-supervised semantic segmentation needs strong, high-dimensional perturbations","volume-title":"Proc. ICLR","author":"French"},{"doi-asserted-by":"publisher","key":"ref51","DOI":"10.1109\/ICCV.2019.00612"},{"doi-asserted-by":"publisher","key":"ref52","DOI":"10.1007\/978-3-030-58601-0_26"},{"key":"ref53","article-title":"PseudoSeg: Designing pseudo labels for semantic segmentation","author":"Zou","year":"2020","journal-title":"arXiv:2010.09713"},{"key":"ref54","article-title":"FixMatch: Simplifying semi-supervised learning with consistency and confidence","author":"Sohn","year":"2020","journal-title":"arXiv:2001.07685"},{"doi-asserted-by":"publisher","key":"ref55","DOI":"10.3390\/rs10121970"},{"doi-asserted-by":"publisher","key":"ref56","DOI":"10.1117\/12.2533055"},{"doi-asserted-by":"publisher","key":"ref57","DOI":"10.1109\/MGRS.2017.2762307"},{"volume-title":"ISPRS 2D Semantic Labeling Contest-Vaihingen","key":"ref58"},{"volume-title":"ISPRS 2D Semantic Labeling Contest-Potsdam","key":"ref59"},{"key":"ref60","first-page":"28","article-title":"iSAID: A large-scale dataset for instance segmentation in aerial images","volume-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit. Workshops","author":"Zamir"},{"doi-asserted-by":"publisher","key":"ref61","DOI":"10.1109\/TGRS.2021.3065112"},{"doi-asserted-by":"publisher","key":"ref62","DOI":"10.1109\/TGRS.2022.3183144"},{"doi-asserted-by":"publisher","key":"ref63","DOI":"10.1109\/CVPR.2016.90"},{"doi-asserted-by":"publisher","key":"ref64","DOI":"10.1109\/CVPR.2019.00262"},{"doi-asserted-by":"publisher","key":"ref65","DOI":"10.1109\/TPAMI.2014.2299812"},{"key":"ref66","article-title":"A novel transformer based semantic segmentation scheme for fine-resolution remote sensing images","author":"Wang","year":"2021","journal-title":"arXiv:2104.12137"},{"doi-asserted-by":"publisher","key":"ref67","DOI":"10.1109\/CVPR.2019.00326"},{"doi-asserted-by":"publisher","key":"ref68","DOI":"10.1109\/ICCV.2019.00926"},{"key":"ref69","article-title":"OCNet: Object context network for scene parsing","author":"Yuan","year":"2018","journal-title":"arXiv:1809.00916"},{"doi-asserted-by":"publisher","key":"ref70","DOI":"10.1109\/TGRS.2019.2913861"},{"doi-asserted-by":"publisher","key":"ref71","DOI":"10.1016\/j.isprsjprs.2017.11.011"},{"doi-asserted-by":"publisher","key":"ref72","DOI":"10.1016\/j.isprsjprs.2019.07.007"},{"doi-asserted-by":"publisher","key":"ref73","DOI":"10.1016\/j.isprsjprs.2017.12.007"},{"volume-title":"International Society for Photogrammetry and Remote Sensing (ISPRS)","year":"2018","key":"ref74"},{"doi-asserted-by":"publisher","key":"ref75","DOI":"10.3390\/rs13183771"},{"doi-asserted-by":"publisher","key":"ref76","DOI":"10.3390\/rs11131617"},{"doi-asserted-by":"publisher","key":"ref77","DOI":"10.1016\/j.neucom.2018.11.051"},{"doi-asserted-by":"publisher","key":"ref78","DOI":"10.1109\/LGRS.2021.3058168"},{"doi-asserted-by":"publisher","key":"ref79","DOI":"10.1016\/j.isprsjprs.2021.09.005"},{"doi-asserted-by":"publisher","key":"ref80","DOI":"10.1109\/TPAMI.2020.2983686"},{"doi-asserted-by":"publisher","key":"ref81","DOI":"10.1109\/ICCV48922.2021.00986"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/10006360\/10024804.pdf?arnumber=10024804","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T08:51:27Z","timestamp":1707814287000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10024804\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":81,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2023.3239042","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"type":"print","value":"0196-2892"},{"type":"electronic","value":"1558-0644"}],"subject":[],"published":{"date-parts":[[2023]]}}}