{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T22:28:40Z","timestamp":1783549720267,"version":"3.55.0"},"reference-count":46,"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":"am","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\/501100014219","name":"China National Science Fund for Distinguished Young Scholars","doi-asserted-by":"publisher","award":["62425102"],"award-info":[{"award-number":["62425102"]}],"id":[{"id":"10.13039\/501100014219","id-type":"DOI","asserted-by":"publisher"}]},{"name":"U.S. National Science Foundation through the Moorea Coral Reef Long-term Ecological Research","award":["OCE 2224354"],"award-info":[{"award-number":["OCE 2224354"]}]},{"name":"Italian Minister of University and Research","award":["PNRA18 00263-B2"],"award-info":[{"award-number":["PNRA18 00263-B2"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tgrs.2025.3618269","type":"journal-article","created":{"date-parts":[[2025,10,6]],"date-time":"2025-10-06T17:36:37Z","timestamp":1759772197000},"page":"1-14","source":"Crossref","is-referenced-by-count":4,"title":["UMIS-YOLO: Underwater Multimodal Images Instance Segmentation With YOLO"],"prefix":"10.1109","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-7643-3722","authenticated-orcid":false,"given":"Yue","family":"Yang","sequence":"first","affiliation":[{"name":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoyi","family":"Feng","sequence":"additional","affiliation":[{"name":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0144-8355","authenticated-orcid":false,"given":"Ming","family":"Li","sequence":"additional","affiliation":[{"name":"School of Robotics, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3011-0983","authenticated-orcid":false,"given":"Xiangyun","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiangying","family":"Qin","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":"Armin","family":"Gruen","sequence":"additional","affiliation":[{"name":"Institute of Geodesy and Photogrammetry, ETH Z&#x00FC;rich, Z&#x00FC;rich, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Deren","family":"Li","sequence":"additional","affiliation":[{"name":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianya","family":"Gong","sequence":"additional","affiliation":[{"name":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Underwater object detection in the era of artificial intelligence: Current, challenge, and future","author":"Chen","year":"2024","journal-title":"arXiv:2410.05577"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3578516"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/jmse11081532"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2020.116088"},{"key":"ref5","article-title":"MV-adapter: Enhancing underwater instance segmentation via adaptive channel attention","author":"Liu","year":"2024","journal-title":"arXiv:2411.00472"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ocecoaman.2009.03.007"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/WACVW60836.2024.00090"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/biomimetics8030318"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2025.113902"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3289566"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2024.06.019"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00126"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecoinf.2024.102680"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1080\/10095020.2024.2343323"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2025.3534098"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3389\/fmars.2025.1557965"},{"key":"ref17","article-title":"Diving into underwater: Segment anything model guided underwater salient instance segmentation and a large-scale dataset","author":"Lian","year":"2024","journal-title":"arXiv:2406.06039"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN60899.2024.10650029"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/s22249578"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecoinf.2020.101121"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref22","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"28","author":"Ren"},{"key":"ref23","article-title":"TrashCan: A semantically-segmented dataset towards visual detection of marine debris","author":"Hong","year":"2020","journal-title":"arXiv:2007.08097"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00925"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2024.127488"},{"key":"ref27","article-title":"Ultralytics\/YOLOv5: V7. 0-YOLOv5 SOTA realtime instance segmentation","author":"Jocher","year":"2022"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ADICS58448.2024.10533619"},{"key":"ref29","article-title":"YOLOv11: An overview of the key architectural enhancements","author":"Khanam","year":"2024","journal-title":"arXiv:2410.17725"},{"key":"ref30","article-title":"YOLOv12: Attention-centric real-time object detectors","author":"Tian","year":"2025","journal-title":"arXiv:2502.12524"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2024.105057"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3392631"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2025.3535724"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2025.108837"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52734.2025.01388"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3349306"},{"key":"ref37","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","volume-title":"Proc. 13th Int. Conf. Artif. Intell. Statist.","author":"Glorot"},{"key":"ref38","article-title":"A survey on deep learning methods for semantic image segmentation in real-time","author":"Takos","year":"2020","journal-title":"arXiv:2009.12942"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2983686"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/T-C.1972.223567"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.52202\/079017-0688"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2956516"},{"key":"ref43","first-page":"17721","article-title":"SOLOv2: Dynamic and fast instance segmentation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Wang"},{"key":"ref44","article-title":"Mask2Former for video instance segmentation","author":"Cheng","year":"2021","journal-title":"arXiv:2112.10764"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9206626"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3363057"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/36\/10807682\/11194239-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/36\/10807682\/11194239.pdf?arnumber=11194239","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T05:57:37Z","timestamp":1762235857000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11194239\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2025.3618269","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}