{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T15:29:48Z","timestamp":1781537388004,"version":"3.54.5"},"reference-count":78,"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":[{"name":"Key Research and Development Program of Hubei Province","award":["2023BCB119"],"award-info":[{"award-number":["2023BCB119"]}]},{"name":"Hubei Provincial Natural Science Foundation of China","award":["2022CFD012"],"award-info":[{"award-number":["2022CFD012"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42371470"],"award-info":[{"award-number":["42371470"]}],"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.2025.3598943","type":"journal-article","created":{"date-parts":[[2025,8,14]],"date-time":"2025-08-14T18:47:38Z","timestamp":1755197258000},"page":"1-21","source":"Crossref","is-referenced-by-count":1,"title":["RL-ISegNet: Refining Instance Segmentation for Remote Sensing Imagery via Iterative Reward Maximization With Limited Samples"],"prefix":"10.1109","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1087-4847","authenticated-orcid":false,"given":"Yang","family":"Liu","sequence":"first","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0683-4669","authenticated-orcid":false,"given":"Tong","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanru","family":"Huang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peixiao","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Geographic Information Science and Technology, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gang","family":"Wang","sequence":"additional","affiliation":[{"name":"Tianjin Railway Technical and Vocational College, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3325829"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2022.11.006"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121007"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3326292"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3309918"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3388199"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-99-9243-0_5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2024.103717"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3417965"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2023.109152"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/WACV57701.2024.00053"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00263"},{"key":"ref13","article-title":"Better (pseudo-)labels for semi-supervised instance segmentation","author":"Porcher","year":"2024","journal-title":"arXiv:2403.11675"},{"key":"ref14","article-title":"Instance-wise uncertainty for class imbalance in semantic segmentation","author":"Almeida","year":"2024","journal-title":"arXiv:2407.12609"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-023-10557-6"},{"key":"ref16","first-page":"35218","article-title":"Simplifying neural network training under class imbalance","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Shwartz-Ziv"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-34048-2_58"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICICML60161.2023.10424879"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2024.3497992"},{"key":"ref20","first-page":"27730","article-title":"Training language models to follow instructions with human feedback","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","author":"Ouyang"},{"key":"ref21","article-title":"A survey of large language models","author":"Xin Zhao","year":"2023","journal-title":"arXiv:2303.18223"},{"key":"ref22","article-title":"Reinforced active learning for image segmentation","author":"Casanova","year":"2020","journal-title":"arXiv:2002.06583"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2022.3195705"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01547"},{"key":"ref25","first-page":"33229","article-title":"Tuning computer vision models with task rewards","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Pinto"},{"key":"ref26","first-page":"36238","article-title":"Uncertainty estimation for safety-critical scene segmentation via fine-grained reward maximization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Yang"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.02.073"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3362475"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/mgrs.2025.3541952"},{"key":"ref30","first-page":"31614","article-title":"Learning with partial-label and unlabeled data: A uniform treatment for supervision redundancy and insufficiency","volume-title":"Proc. 41st Int. Conf. Mach. Learn.","author":"Liu"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2024.3414332"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2956516"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3390\/rs12060989"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01548"},{"key":"ref36","first-page":"17721","article-title":"SOLOv2: Dynamic and fast instance segmentation","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst.","author":"Wang"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00135"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00439"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01497"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.catena.2023.107371"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01632"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3390\/rs15215201"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3363054"},{"key":"ref44","first-page":"29901","article-title":"Label-efficient segmentation via affinity propagation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Li"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00077"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3421340"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i3.28068"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109888"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3356074"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548227"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72083-3_14"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/WACV57701.2024.00027"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3367666"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW63382.2024.00018"},{"key":"ref56","doi-asserted-by":"crossref","DOI":"10.1016\/j.rse.2023.113856","article-title":"Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks","volume":"299","author":"Hong","year":"2023","journal-title":"Remote Sens. Environ."},{"issue":"8","key":"ref57","first-page":"8842","article-title":"A unified loss for handling inter-class and intra-class imbalance in medical image segmentation","volume-title":"Proc. AAAI Conf. Artif. Intell.","volume":"39","author":"Xu"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-021-10061-9"},{"key":"ref59","article-title":"Aligning text-to-image models using human feedback","author":"Lee","year":"2023","journal-title":"arXiv:2302.12192"},{"key":"ref60","article-title":"Training diffusion models with reinforcement learning","author":"Black","year":"2023","journal-title":"arXiv:2305.13301"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00843"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmp.2017.05.006"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/18.481776"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00781"},{"key":"ref66","article-title":"SLAW: Scaled loss approximate weighting for efficient multi-task learning","author":"Crawshaw","year":"2021","journal-title":"arXiv:2109.08218"},{"key":"ref67","article-title":"Analytical uncertainty-based loss weighting in multi-task learning","author":"Kirchdorfer","year":"2024","journal-title":"arXiv:2408.07985"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3054719"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2024.3435425"},{"key":"ref70","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"},{"key":"ref71","article-title":"RTMDet: An empirical study of designing real-time object detectors","author":"Lyu","year":"2022","journal-title":"arXiv:2212.07784"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00540"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00339"},{"key":"ref74","article-title":"Label-efficient segmentation via affinity propagation","author":"Li","year":"2023","journal-title":"arXiv:2310.10533"},{"key":"ref75","article-title":"Low-rank adaptation for foundation models: A comprehensive review","author":"Yang","year":"2024","journal-title":"arXiv:2501.00365"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2858817"},{"key":"ref77","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/j.isprsjprs.2014.10.002","article-title":"Multi-class geospatial object detection and geographic image classification based on collection of part detectors","volume":"98","author":"Cheng","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2019.8898573"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/36\/10807682\/11124929.pdf?arnumber=11124929","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,26]],"date-time":"2025-08-26T19:21:47Z","timestamp":1756236107000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11124929\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":78,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2025.3598943","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}