{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,2]],"date-time":"2026-08-02T19:21:33Z","timestamp":1785698493900,"version":"3.56.0"},"reference-count":39,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100013219","name":"Environment and Natural Resources","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100013219","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,19]]},"DOI":"10.1109\/iros60139.2025.11246089","type":"proceedings-article","created":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T18:54:45Z","timestamp":1764269685000},"page":"18597-18603","source":"Crossref","is-referenced-by-count":5,"title":["The Common Objects Underwater (COU) Dataset for Robust Underwater Object Detection"],"prefix":"10.1109","author":[{"given":"Rishi","family":"Mukherjee","sequence":"first","affiliation":[{"name":"University of Minnesota-Twin Cities,Department of Computer Science &amp; Engineering and the Minnesota Robotics Institute (MnRI),Minneapolis,MN,USA,55455"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sakshi","family":"Singh","sequence":"additional","affiliation":[{"name":"University of Minnesota-Twin Cities,Department of Computer Science &amp; Engineering and the Minnesota Robotics Institute (MnRI),Minneapolis,MN,USA,55455"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jack","family":"McWilliams","sequence":"additional","affiliation":[{"name":"University of Minnesota-Twin Cities,Department of Computer Science &amp; Engineering and the Minnesota Robotics Institute (MnRI),Minneapolis,MN,USA,55455"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junaed","family":"Sattar","sequence":"additional","affiliation":[{"name":"University of Minnesota-Twin Cities,Department of Computer Science &amp; Engineering and the Minnesota Robotics Institute (MnRI),Minneapolis,MN,USA,55455"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Underwater Unmanned Vehicles Market Report","year":"2025"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TENCON.2016.7848658"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/AUV.2016.7778711"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1111\/cobi.13312"},{"key":"ref5","article-title":"Trident ROV","author":"Sciences"},{"key":"ref6","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-10602-1_48","article-title":"Microsoft COCO: Common Objects in Context","volume-title":"CoRR","author":"Lin","year":"2014"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref8","doi-asserted-by":"crossref","DOI":"10.1007\/s11036-017-0863-4","article-title":"Underwater Optical Image Processing: A Comprehensive Review","author":"Lu","year":"2017"},{"key":"ref9","article-title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","author":"Wang","year":"2024"},{"key":"ref10","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-58452-8_13","article-title":"End-to-End Object Detection with Transformers","author":"Carion","year":"2020"},{"key":"ref11","article-title":"Mask R-CNN","author":"He","year":"2018"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2974710"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JOE.2019.2911447"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/DICTA60407.2023.00081"},{"key":"ref16","doi-asserted-by":"crossref","DOI":"10.1109\/ICRA55743.2025.11127997","article-title":"Iburd: Image blending for underwater robotic detection","author":"Hong","year":"2025"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9636099"},{"issue":"1","key":"ref18","article-title":"CADDY Underwater Stereo-Vision Dataset for Human\u2013Robot Interaction (HRI) in the Context of Diver Activities","volume-title":"Journal of Marine Science and Engineering","volume":"7","author":"Gomez Chavez","year":"2019"},{"key":"ref19","article-title":"Detection of Marine Animals in a New Underwater Dataset with Varying Visibility","volume-title":"The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops","author":"Pedersen"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247798"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/icmew53276.2021.9455997"},{"key":"ref22","article-title":"UDD: An Underwater Open-sea Farm Object Detection Dataset for Underwater Robot Picking","author":"Wang","year":"2020"},{"key":"ref23","article-title":"The RoboFlow Aquarium Dataset"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2017.8019324"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793975"},{"key":"ref26","article-title":"TrashCan: A Semantically-Segmented Dataset towards Visual Detection of Marine Debris","volume-title":"CoRR","author":"Hong","year":"2020"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-37731-0_30"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-024-03759-2"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3245405"},{"key":"ref30","article-title":"DeepPlastic: A Novel Approach to Detecting Epipelagic Bound Plastic Using Deep Visual Models","author":"Tata","year":"2021"},{"key":"ref31","article-title":"opencv\/cvat: v1.1.0","author":"Sekachev","year":"2020"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00135"},{"key":"ref34","article-title":"Detectron2","author":"Wu","year":"2019"},{"key":"ref35","article-title":"Deep Residual Learning for Image Recognition","author":"He","year":"2015"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref37","article-title":"TAO Toolkit","year":"2025"},{"key":"ref38","article-title":"MeCO(Medium Cost Open-Source) AUV","author":"Ohnsted"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2020.3004555"}],"event":{"name":"2025 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","location":"Hangzhou, China","start":{"date-parts":[[2025,10,19]]},"end":{"date-parts":[[2025,10,25]]}},"container-title":["2025 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11245651\/11245652\/11246089.pdf?arnumber=11246089","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T20:48:56Z","timestamp":1772570936000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11246089\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,19]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/iros60139.2025.11246089","relation":{},"subject":[],"published":{"date-parts":[[2025,10,19]]}}}