{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T00:45:38Z","timestamp":1783385138675,"version":"3.54.6"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100004832","name":"School of Mathematics and Statistics, Changsha University of Science and Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004832","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3368878","type":"journal-article","created":{"date-parts":[[2024,2,22]],"date-time":"2024-02-22T19:51:17Z","timestamp":1708631477000},"page":"30562-30576","source":"Crossref","is-referenced-by-count":15,"title":["An Efficient YOLO Network With CSPCBAM, Ghost, and Cluster-NMS for Underwater Target Detection"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-3951-322X","authenticated-orcid":false,"given":"Zheng","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Mathematics and Statistics, Changsha University of Science and Technology, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-0177-9791","authenticated-orcid":false,"given":"Qingshan","family":"Tong","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Changsha University of Science and Technology, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaofei","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Changsha University of Science and Technology, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2021.3129286"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CAPS52117.2021.9730647"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/OCEANSChennai45887.2022.9775336"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1117\/1.JEI.31.2.023016"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3072414"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-021-11230-2"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00995"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1807.06521"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2112.05561"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3268636"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2023.108166"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-022-10386-x"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.106825"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2023.107632"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3389\/fpls.2022.1098864"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00165"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/su151410751"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3277511"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3095305"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107968"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2022.3161143"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i10.21386"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/rs14184487"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3085139"},{"issue":"2","key":"ref25","first-page":"312","article-title":"Farmed fish detection by combining sknet and YOLOv5 deep learning","volume":"37","author":"Meng","year":"2022","journal-title":"J. Ocean Univ. China"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/s23073367"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01350"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/jmse10121821"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3109798"},{"key":"ref31","article-title":"CSL-YOLO: A new lightweight object detection system for edge computing","author":"Zhang","year":"2021","journal-title":"arXiv:2107.04829"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/jmse11061178"},{"key":"ref33","article-title":"MobileViT: Light-weight, general-purpose, and mobile-friendly vision transformer","author":"Mehta","year":"2021","journal-title":"arXiv:2110.02178"},{"key":"ref34","article-title":"YOLOX: Exceeding YOLO series in 2021","author":"Ge","year":"2021","journal-title":"arXiv:2107.08430"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1177\/0040517520955229"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecoinf.2022.101931"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1911.08287"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1080\/17538947.2023.2173318"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-022-02565-8"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.5555\/3045118.3045167"},{"key":"ref41","article-title":"Slim-neck by GSConv: A better design paradigm of detector architectures for autonomous vehicles","author":"Li","year":"2022","journal-title":"arXiv:2206.02424"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00925"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.593"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICMEW53276.2021.9455997"},{"key":"ref45","first-page":"18","article-title":"Detection of marine animals in a new underwater dataset with varying visibility","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","author":"Pedersen"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.3390\/sym14081669"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref49","article-title":"Deformable DETR: Deformable transformers for end-to-end object detection","author":"Zhu","year":"2020","journal-title":"arXiv:2010.04159"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01325"},{"key":"ref51","article-title":"DINO: DETR with improved DeNoising anchor boxes for end-to-end object detection","author":"Zhang","year":"2022","journal-title":"arXiv:2203.03605"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/882262.882269"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10380310\/10443457.pdf?arnumber=10443457","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,8]],"date-time":"2024-03-08T01:11:10Z","timestamp":1709860270000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10443457\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":52,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3368878","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}