{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T18:22:59Z","timestamp":1761848579316,"version":"build-2065373602"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52071201","52301420","52331012"],"award-info":[{"award-number":["52071201","52301420","52331012"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Commission of Shanghai Municipality (STCSM) Capacity Building Project of Local Universities","award":["23010502200"],"award-info":[{"award-number":["23010502200"]}]},{"name":"Special Funding for the Development of Science and Technology of Shanghai Ocean University","award":["A2-2006-21-200207"],"award-info":[{"award-number":["A2-2006-21-200207"]}]},{"name":"Open Fund of the Key Laboratory of High Performance Ship Technology (Wuhan University of Technology), Ministry of Education","award":["GXNC23052801"],"award-info":[{"award-number":["GXNC23052801"]}]},{"name":"Open Project Program of the State Key Laboratory of CAD&CG","award":["A2326"],"award-info":[{"award-number":["A2326"]}]},{"DOI":"10.13039\/501100019049","name":"Fund from State Key Laboratory of Maritime Technology and Safety","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100019049","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2025,10]]},"DOI":"10.1109\/tits.2025.3573512","type":"journal-article","created":{"date-parts":[[2025,6,13]],"date-time":"2025-06-13T13:52:48Z","timestamp":1749822768000},"page":"16869-16886","source":"Crossref","is-referenced-by-count":0,"title":["An Approach to Multi-AAV Ship Detection Based on Mobile Edge Computing Scenarios"],"prefix":"10.1109","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1194-3253","authenticated-orcid":false,"given":"Tao","family":"Liu","sequence":"first","affiliation":[{"name":"College of Transport and Communications, Shanghai Maritime University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-0626-2123","authenticated-orcid":false,"given":"Peiyao","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Transport and Communications, Shanghai Maritime University, Shanghai, China"}]},{"given":"Zhao","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Transport and Communications, Shanghai Maritime University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-5608-1992","authenticated-orcid":false,"given":"Zhengling","family":"Lei","sequence":"additional","affiliation":[{"name":"College of Engineering Science and Technology, Shanghai Ocean University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-8492-2397","authenticated-orcid":false,"given":"Yun","family":"Ye","sequence":"additional","affiliation":[{"name":"College of Transport and Communications, Shanghai Maritime University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3296-7999","authenticated-orcid":false,"given":"Yuchi","family":"Huo","sequence":"additional","affiliation":[{"name":"State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3783-6560","authenticated-orcid":false,"given":"Xiaocai","family":"Zhang","sequence":"additional","affiliation":[{"name":"Faculty of Engineering and Information Technology, The University of Melbourne, Parkville, VIC, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8365-0970","authenticated-orcid":false,"given":"Gaoqi","family":"He","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, East China Normal University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3150-3407","authenticated-orcid":false,"given":"Huafeng","family":"Wu","sequence":"additional","affiliation":[{"name":"Merchant Marine College, Shanghai Maritime University, Shanghai, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/jmse11122311"},{"volume-title":"Review of Maritime Transport 2022","key":"ref2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/app13148099"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2022.3213801"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3091216"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00286"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00881"},{"key":"ref10","article-title":"Pruning convolutional neural networks for resource efficient inference","author":"Molchanov","year":"2016","journal-title":"arXiv:1611.06440"},{"key":"ref11","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and Huffman coding","author":"Han","year":"2015","journal-title":"arXiv:1510.00149"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1503.02531"},{"key":"ref13","article-title":"FitNets: Hints for thin deep nets","author":"Romero","year":"2014","journal-title":"arXiv:1412.6550"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00497"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/jmse12081422"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2022.103341"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.107332"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2021.3100113"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3059691"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3016694"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/HONET63146.2024.10822891"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.23919\/IFIPNetworking62109.2024.10619786"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3285415"},{"key":"ref24","first-page":"11863","article-title":"SimAM: A simple, parameter-free attention module for convolutional neural networks","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","volume":"139","author":"Yang"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_37"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00460"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01350"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s41095-023-0364-2"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6633"},{"volume-title":"Ultralytics YOLO","year":"2023","author":"Jocher","key":"ref30"},{"key":"ref31","article-title":"YOLOv10: Real-time end-to-end object detection","author":"Wang","year":"2024","journal-title":"arXiv:2405.14458"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2023.115440"},{"key":"ref33","article-title":"YOLOv6 v3.0: A full-scale reloading","author":"Li","year":"2023","journal-title":"arXiv:2301.05586"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00721"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72751-1_1"},{"key":"ref36","article-title":"RTMDet: An empirical study of designing real-time object detectors","author":"Lyu","year":"2022","journal-title":"arXiv:2212.07784"},{"key":"ref37","article-title":"RT-DETRv2: Improved baseline with bag-of-freebies for real-time detection transformer","author":"Lv","year":"2024","journal-title":"arXiv:2407.17140"},{"key":"ref38","article-title":"Mamba YOLO: SSMs-based YOLO for object detection","author":"Wang","year":"2024","journal-title":"arXiv:2406.05835"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01563"},{"issue":"11","key":"ref40","first-page":"1","article-title":"Visualizing data using t-SNE","volume":"9","author":"Van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00020"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6979\/11220917\/11036095.pdf?arnumber=11036095","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T18:05:07Z","timestamp":1761847507000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11036095\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10]]},"references-count":41,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tits.2025.3573512","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"type":"print","value":"1524-9050"},{"type":"electronic","value":"1558-0016"}],"subject":[],"published":{"date-parts":[[2025,10]]}}}