{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T10:57:27Z","timestamp":1768561047478,"version":"3.49.0"},"reference-count":67,"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":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2017-YFB0502700"],"award-info":[{"award-number":["2017-YFB0502700"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61501098"],"award-info":[{"award-number":["61501098"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"High-Resolution Earth Observation Youth Foundation","award":["GFZX04061502"],"award-info":[{"award-number":["GFZX04061502"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tim.2021.3121485","type":"journal-article","created":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T22:45:11Z","timestamp":1634769911000},"page":"1-17","source":"Crossref","is-referenced-by-count":38,"title":["A Lightweight Adaptive RoI Extraction Network for Precise Aerial Image Instance Segmentation"],"prefix":"10.1109","volume":"70","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1564-8494","authenticated-orcid":false,"given":"Xiangfeng","family":"Zeng","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8091-9540","authenticated-orcid":false,"given":"Shunjun","family":"Wei","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7676-8380","authenticated-orcid":false,"given":"Jun","family":"Shi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2343-3055","authenticated-orcid":false,"given":"Xiaoling","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"1","article-title":"Prior mask R-CNN based on graph cuts loss and size input for precipitation measurement","volume":"70","author":"li","year":"2021","journal-title":"IEEE Trans Instrum Meas"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.2965635"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00913"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00657"},{"key":"ref31","first-page":"1","article-title":"SOLOv2: Dynamic and fast instance segmentation","volume":"33","author":"wang","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref30","first-page":"649","article-title":"SOLO: Segmenting objects by locations","author":"wang","year":"2020","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3001796"},{"key":"ref36","article-title":"SCNet: Training inference sample consistency for instance segmentation","author":"vu","year":"2020","journal-title":"arXiv 2012 10150"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00511"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00644"},{"key":"ref60","first-page":"740","article-title":"Microsoft COCO: Common objects in context","author":"lin","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref62","article-title":"MMDetection: Open MMLab detection toolbox and benchmark","author":"chen","year":"2019","journal-title":"ArXiv 1906 07155"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.593"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_38"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00073"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.774"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6902"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.3390\/rs13142788"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01221"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01044"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/rs11121443"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2016.03.014"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3418205"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/rs12213564"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-annals-IV-4-W4-73-2017"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref26","article-title":"Semantic instance segmentation with a discriminative loss function","author":"de brabandere","year":"2017","journal-title":"arXiv 1708 02551"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00931-1_70"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2014.10.002"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.3390\/rs12060989"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2019.8898573"},{"key":"ref56","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","volume":"25","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref55","first-page":"28","article-title":"iSAID: A large-scale dataset for instance segmentation in aerial images","author":"zamir","year":"2019","journal-title":"Proc IEEE\/CVF Conf Comput Vis Pattern Recognit Workshops"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00197"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00953"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.89"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2867198"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2601622"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2841808"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2778300"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2018.8519555"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/rs10010132"},{"key":"ref15","article-title":"Learning a rotation invariant detector with rotatable bounding box","author":"liu","year":"2017","journal-title":"arXiv 1711 09405"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2920534"},{"key":"ref17","author":"gupta","year":"2017","journal-title":"Remote Sensing Geology"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IC3I46837.2019.9055569"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/rs10091487"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/rs13132591"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/rs13132450"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3005861"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/rs12010167"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.2993899"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.05.016"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67389-9_44"},{"key":"ref9","article-title":"Balance scene learning mechanism for offshore and inshore ship detection in SAR images","author":"zhang","year":"2021","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"ref46","article-title":"Distance map loss penalty term for semantic segmentation","author":"caliva","year":"2019","journal-title":"arXiv 1908 03679"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67558-9_28"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01261"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref44","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervent"},{"key":"ref43","article-title":"A novel region of interest extraction layer for instance segmentation","author":"rossi","year":"2020","journal-title":"arXiv 2004 13665"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/9259274\/09580904.pdf?arnumber=9580904","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,27]],"date-time":"2021-12-27T20:55:35Z","timestamp":1640638535000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9580904\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":67,"URL":"https:\/\/doi.org\/10.1109\/tim.2021.3121485","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}