{"id":"https://openalex.org/W4401628489","doi":"https://doi.org/10.1109/access.2024.3445154","title":"Real-Time Long-Distance Ship Detection Architecture Based on YOLOv8","display_name":"Real-Time Long-Distance Ship Detection Architecture Based on YOLOv8","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401628489","doi":"https://doi.org/10.1109/access.2024.3445154"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3445154","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3445154","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3445154","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114246439","display_name":"Yanfeng Gong","orcid":"https://orcid.org/0000-0002-1965-857X"},"institutions":[{"id":"https://openalex.org/I63371133","display_name":"Chongqing Jiaotong University","ror":"https://ror.org/01t001k65","country_code":"CN","type":"education","lineage":["https://openalex.org/I63371133"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanfeng Gong","raw_affiliation_strings":["School of Shipping and Naval Architecture, Chongqing Jiaotong University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Shipping and Naval Architecture, Chongqing Jiaotong University, Chongqing, China","institution_ids":["https://openalex.org/I63371133"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114246718","display_name":"Zihao Chen","orcid":"https://orcid.org/0009-0004-2871-5283"},"institutions":[{"id":"https://openalex.org/I63371133","display_name":"Chongqing Jiaotong University","ror":"https://ror.org/01t001k65","country_code":"CN","type":"education","lineage":["https://openalex.org/I63371133"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao Chen","raw_affiliation_strings":["School of Shipping and Naval Architecture, Chongqing Jiaotong University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Shipping and Naval Architecture, Chongqing Jiaotong University, Chongqing, China","institution_ids":["https://openalex.org/I63371133"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109302892","display_name":"Wen Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I63371133","display_name":"Chongqing Jiaotong University","ror":"https://ror.org/01t001k65","country_code":"CN","type":"education","lineage":["https://openalex.org/I63371133"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Deng","raw_affiliation_strings":["School of Shipping and Naval Architecture, Chongqing Jiaotong University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Shipping and Naval Architecture, Chongqing Jiaotong University, Chongqing, China","institution_ids":["https://openalex.org/I63371133"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089729961","display_name":"Jiawan Tan","orcid":"https://orcid.org/0000-0001-5985-2521"},"institutions":[{"id":"https://openalex.org/I63371133","display_name":"Chongqing Jiaotong University","ror":"https://ror.org/01t001k65","country_code":"CN","type":"education","lineage":["https://openalex.org/I63371133"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawan Tan","raw_affiliation_strings":["School of Shipping and Naval Architecture, Chongqing Jiaotong University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Shipping and Naval Architecture, Chongqing Jiaotong University, Chongqing, China","institution_ids":["https://openalex.org/I63371133"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101639162","display_name":"Yabin Li","orcid":"https://orcid.org/0000-0001-5698-721X"},"institutions":[{"id":"https://openalex.org/I4210161003","display_name":"Qingdao Center of Resource Chemistry and New Materials","ror":"https://ror.org/05x85k702","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210089297","https://openalex.org/I4210161003"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yabin Li","raw_affiliation_strings":["Qingdao Shipping Development Research Institute, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"Qingdao Shipping Development Research Institute, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I4210161003"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5114246439"],"corresponding_institution_ids":["https://openalex.org/I63371133"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":5.4843,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.96872401,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"12","issue":null,"first_page":"116086","last_page":"116104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9757999777793884,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9757999777793884,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.960099995136261,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14412","display_name":"Marine and Coastal Research","score":0.9168999791145325,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6931156516075134},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6064023971557617},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3412248194217682}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6931156516075134},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6064023971557617},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3412248194217682},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3445154","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3445154","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5948342586b84f9b9767bde17f238af1","is_oa":true,"landing_page_url":"https://doaj.org/article/5948342586b84f9b9767bde17f238af1","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 116086-116104 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3445154","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3445154","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7986532092","display_name":null,"funder_award_id":"2023S0075","funder_id":"https://openalex.org/F4320334802","funder_display_name":"Adelaide Research and Innovation, University of Adelaide"}],"funders":[{"id":"https://openalex.org/F4320334802","display_name":"Adelaide Research and Innovation, University of Adelaide","ror":"https://ror.org/00892tw58"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W1970782782","https://openalex.org/W2102605133","https://openalex.org/W2194775991","https://openalex.org/W2442495293","https://openalex.org/W2532362286","https://openalex.org/W2552331162","https://openalex.org/W2570343428","https://openalex.org/W2618530766","https://openalex.org/W2626779203","https://openalex.org/W2758555341","https://openalex.org/W2791979332","https://openalex.org/W2884419823","https://openalex.org/W2884561390","https://openalex.org/W2885291434","https://openalex.org/W2912809890","https://openalex.org/W2943961948","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2964241181","https://openalex.org/W2964444661","https://openalex.org/W2989604896","https://openalex.org/W3018757597","https://openalex.org/W3035992774","https://openalex.org/W3096609285","https://openalex.org/W3100625081","https://openalex.org/W3107473354","https://openalex.org/W3109586922","https://openalex.org/W3119277176","https://openalex.org/W3135487395","https://openalex.org/W3138516171","https://openalex.org/W3165924482","https://openalex.org/W3166088811","https://openalex.org/W3169483152","https://openalex.org/W3172509117","https://openalex.org/W3193840806","https://openalex.org/W3196660192","https://openalex.org/W3196790965","https://openalex.org/W3210586215","https://openalex.org/W4224241567","https://openalex.org/W4282036789","https://openalex.org/W4289752563","https://openalex.org/W4293584584","https://openalex.org/W4312366108","https://openalex.org/W4313855947","https://openalex.org/W4318255578","https://openalex.org/W4318954087","https://openalex.org/W4327956269","https://openalex.org/W4361802221","https://openalex.org/W4385245566","https://openalex.org/W4385696625","https://openalex.org/W4386320361","https://openalex.org/W4387653441","https://openalex.org/W4391223808","https://openalex.org/W4391263430","https://openalex.org/W4393308750","https://openalex.org/W6620707391","https://openalex.org/W6750227808","https://openalex.org/W6784094891","https://openalex.org/W6800873676","https://openalex.org/W6849535052"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Long-distance":[0],"detection":[1,20,119,190],"of":[2,10,27,45,94,162,169,177,183,192,226],"maritime":[3,218],"ships":[4,29,47,164],"is":[5,89,232],"pivotal":[6],"for":[7,121],"the":[8,25,43,82,92,95,99,125,131,134,137,151,166,207],"development":[9],"intelligent":[11],"collision":[12],"avoidance":[13],"systems.":[14],"Despite":[15],"significant":[16],"advancements":[17],"in":[18,40,59,133,202],"target":[19],"achieved":[21,222],"through":[22],"deep":[23,113],"learning,":[24],"identification":[26],"long-distance":[28,46,163],"poses":[30],"a":[31,67,117,159,189,216],"substantial":[32],"challenge":[33],"due":[34],"to":[35,50,56,97],"their":[36],"small":[37,51,60,122],"pixel":[38],"size":[39],"images.":[41],"Consequently,":[42],"recognition":[44],"essentially":[48],"amounts":[49],"object":[52,61],"detection.":[53],"In":[54],"response":[55],"these":[57],"challenges":[58],"detection,":[62],"this":[63],"paper":[64],"proposes":[65],"Ship-YOLOv8,":[66],"modified":[68],"architecture":[69],"derived":[70],"from":[71],"You":[72],"Only":[73],"Look":[74],"Once":[75],"version":[76],"8":[77],"(YOLOv8).":[78],"First,":[79],"we":[80,108,129,147],"developed":[81],"C-Bottleneck":[83],"Transformer":[84],"neural":[85],"network":[86,141],"(C-BoTNet),":[87],"which":[88],"integrated":[90],"at":[91,234],"end":[93],"backbone,":[96],"enhance":[98],"global":[100],"receptive":[101],"field":[102],"and":[103,115],"facilitate":[104],"feature":[105],"fusion.":[106],"Additionally,":[107],"incorporated":[109],"shallow":[110],"features":[111,114],"with":[112],"introduced":[116],"dedicated":[118],"layer":[120],"objects":[123],"into":[124],"original":[126],"structure.":[127],"Furthermore,":[128],"optimized":[130],"C2f":[132],"neck":[135],"using":[136,150],"cross":[138],"stage":[139],"partial":[140],"(VoVGSCSP)":[142],"based":[143],"on":[144,158,215],"GSConv.":[145],"Finally,":[146],"conducted":[148,157,214],"optimization":[149],"Wise-IoU":[152],"loss":[153],"function.":[154],"Extensive":[155],"experiments":[156,212],"self-created":[160],"dataset":[161,219],"demonstrate":[165],"remarkable":[167],"capabilities":[168],"Ship-YOLOv8.":[170],"The":[171],"proposed":[172],"method":[173,187],"achieves":[174],"an":[175,223],"AP0.5":[176,182,224],"91.8%,":[178],"significantly":[179],"outperforming":[180],"YOLOv8\u2019s":[181,229],"70.6%.":[184],"Moreover,":[185],"our":[186],"attains":[188],"speed":[191],"4.8":[193],"ms":[194],"per":[195],"image":[196],"during":[197],"inference,":[198],"showcasing":[199],"its":[200],"efficiency":[201],"real-time":[203],"applications.":[204],"To":[205],"validate":[206],"algorithm\u2019s":[208],"broad":[209],"applicability,":[210],"comparative":[211],"were":[213],"public":[217],"SeaShips.":[220],"Ship-YOLOv8":[221],"score":[225],"99.3%,":[227],"surpassing":[228],"98.6%.":[230],"Code":[231],"available":[233],"<uri":[235],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[236],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/zihaohao123/Ship-YOLOv8</uri>.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}