{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T13:16:42Z","timestamp":1763644602428,"version":"3.40.4"},"reference-count":70,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62271355"],"award-info":[{"award-number":["62271355"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"NSFC Regional Innovation and Development Joint Fund","award":["U22A2010"],"award-info":[{"award-number":["U22A2010"]}]},{"DOI":"10.13039\/501100001809","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2042025KF0053"],"award-info":[{"award-number":["2042025KF0053"]}],"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":[[2025]]},"DOI":"10.1109\/tgrs.2025.3562395","type":"journal-article","created":{"date-parts":[[2025,4,18]],"date-time":"2025-04-18T17:37:12Z","timestamp":1744997832000},"page":"1-14","source":"Crossref","is-referenced-by-count":2,"title":["Minimizing Sample Redundancy for Label-Efficient Object Detection in Aerial Images"],"prefix":"10.1109","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0704-2484","authenticated-orcid":false,"given":"Ruixiang","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Electronic Information, Wuhan University, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3078-0496","authenticated-orcid":false,"given":"Chang","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Electronic Information, Wuhan University, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-0153-1305","authenticated-orcid":false,"given":"Haoran","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Electronic Information, Wuhan University, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4260-7911","authenticated-orcid":false,"given":"Fang","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Wuhan University, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3263-8768","authenticated-orcid":false,"given":"Wen","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Electronic Information, Wuhan University, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8314-6563","authenticated-orcid":false,"given":"Haijian","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Electronic Information, Wuhan University, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7660-6090","authenticated-orcid":false,"given":"Gui-Song","family":"Xia","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Wuhan University, Wuhan, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00418"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00296"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3166956"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00350"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3062048"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20077-9_31"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3117983"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01493"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2024.103814"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i7.28518"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2025.01.037"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00623"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i2.25349"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3557915.3560959"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2818020"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00187"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/rs15235499"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.311"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.326"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2876304"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00993"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00838"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00846"},{"key":"ref24","first-page":"16797","article-title":"Comprehensive attention self-distillation for weakly-supervised object detection","volume-title":"Proc. NIPS","author":"Huang"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01061"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20056-4_41"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20077-9_4"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2023.3343806"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01583"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01588"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i1.25156"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01256"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ISKE54062.2021.9755333"},{"issue":"2","key":"ref34","first-page":"896","article-title":"Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","volume":"3","author":"Lee"},{"key":"ref35","first-page":"10758","article-title":"Consistency-based semi-supervised learning for object detection","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Jeong"},{"key":"ref36","article-title":"A simple semi-supervised learning framework for object detection","author":"Sohn","year":"2020","journal-title":"arXiv:2005.04757"},{"key":"ref37","first-page":"1","article-title":"Unbiased teacher for semi-supervised object detection","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Liu"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00315"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00305"},{"key":"ref40","first-page":"1195","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Tarvainen"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00959"},{"key":"ref42","first-page":"405","article-title":"Semi-supervised object detection with object-wise contrastive learning and regression uncertainty","volume-title":"Proc. Brit. Mach. Vis. Conf.","author":"Choi"},{"key":"ref43","article-title":"Adaptive self-training for object detection","author":"Vandeghen","year":"2022","journal-title":"arXiv:2212.05911"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00316"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20077-9_27"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01495"},{"key":"ref47","article-title":"Efficient teacher: Semi-supervised object detection for YOLOv5","author":"Xu","year":"2023","journal-title":"arXiv:2302.07577"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01398"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00477"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20077-9_3"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00712"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01412"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01411"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i3.20234"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01408"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02280"},{"key":"ref57","article-title":"Soft sampling for robust object detection","author":"Wu","year":"2018","journal-title":"arXiv:1806.06986"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00667"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053738"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP42928.2021.9506790"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i4.16385"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01602"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00824"},{"key":"ref64","article-title":"Are dense labels always necessary for 3D object detection from point cloud?","author":"Gao","year":"2024","journal-title":"arXiv:2403.02818"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/WACV57701.2024.00663"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01380"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3290594"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2021.12.004"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01122"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/36\/10807682\/10969845.pdf?arnumber=10969845","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T17:55:53Z","timestamp":1746467753000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10969845\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":70,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2025.3562395","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"type":"print","value":"0196-2892"},{"type":"electronic","value":"1558-0644"}],"subject":[],"published":{"date-parts":[[2025]]}}}