{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T16:56:45Z","timestamp":1768409805271,"version":"3.49.0"},"reference-count":59,"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:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61906097"],"award-info":[{"award-number":["61906097"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012246","name":"Priority Academic Program Development of Jiangsu Higher Education Institutions","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012246","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/jstars.2022.3223845","type":"journal-article","created":{"date-parts":[[2022,11,24]],"date-time":"2022-11-24T18:28:47Z","timestamp":1669314527000},"page":"7907-7918","source":"Crossref","is-referenced-by-count":7,"title":["Collaborative Learning-Based Network for Weakly Supervised Remote Sensing Object Detection"],"prefix":"10.1109","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0673-7754","authenticated-orcid":false,"given":"Suting","family":"Chen","sequence":"first","affiliation":[{"name":"Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5386-1275","authenticated-orcid":false,"given":"Hangjiang","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence/School of Future Technology, Nanjing University of Information Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mithun","family":"Mukherjee","sequence":"additional","affiliation":[{"name":"Nanjing University of Information Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3777-9495","authenticated-orcid":false,"given":"Xin","family":"Xu","sequence":"additional","affiliation":[{"name":"Nanjing University of Information Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2900302"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00075"},{"key":"ref15","article-title":"Network in network","author":"lin","year":"2013"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2601622"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2389824"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2374218"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2014.2358994"},{"key":"ref11","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014"},{"key":"ref55","first-page":"807","article-title":"Rectified linear units improve restricted Boltzmann machines","author":"nair","year":"2010","journal-title":"Proc 27th Int Conf Mach Learn"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/s11045-015-0370-3"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00097"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2991407"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2985989"},{"key":"ref46","first-page":"9834","article-title":"C-midn: Coupled multiple instance detection network with segmentation guidance for weakly supervised object detection","author":"gao","year":"2019","journal-title":"Proc IEEE\/CVF Int Conf Comput Vis"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00079"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2987161"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01301"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00983"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.326"},{"key":"ref44","first-page":"434","article-title":"Ts2c: Tight box mining with surrounding segmentation context for weakly supervised object detection","author":"wei","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2876304"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3030990"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"5866","DOI":"10.1109\/TPAMI.2020.3046647","article-title":"Weakly supervised object localization and detection: A survey","volume":"44","author":"zhang","year":"2022","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref7","article-title":"Deep learning for weakly-supervised object detection and object localization: A survey","author":"shao","year":"2021"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01247-4"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1093\/nsr\/nwx106"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.11.023"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01061"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_39"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00811"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.311"},{"key":"ref36","first-page":"8536","article-title":"Co-teaching: Robust training of deep neural networks with extremely noisy labels","volume":"31","author":"han","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01212"},{"key":"ref30","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2018"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00615"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref2","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref1","article-title":"Benchmarking TPU, GPU, and CPU platforms for deep learning","author":"wang","year":"2019"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_26"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0620-5"},{"key":"ref24","article-title":"Yolov4: Optimal speed and accuracy of object detection","author":"bochkovskiy","year":"2020"},{"key":"ref23","article-title":"Yolov3: An incremental improvement","author":"redmon","year":"2018"},{"key":"ref26","article-title":"Swin transformer V2: Scaling up capacity and resolution","author":"liu","year":"2021"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.690"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0733-5"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref29","article-title":"Attention is all you need","volume":"30","author":"vaswani","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4609443\/9973430\/09960795.pdf?arnumber=9960795","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,2]],"date-time":"2023-10-02T17:59:51Z","timestamp":1696269591000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9960795\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":59,"URL":"https:\/\/doi.org\/10.1109\/jstars.2022.3223845","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}