{"id":"https://openalex.org/W4319336644","doi":"https://doi.org/10.1109/wacvw58289.2023.00029","title":"YOLOv7-sea: Object Detection of Maritime UAV Images based on Improved YOLOv7","display_name":"YOLOv7-sea: Object Detection of Maritime UAV Images based on Improved YOLOv7","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4319336644","doi":"https://doi.org/10.1109/wacvw58289.2023.00029"},"language":"en","primary_location":{"id":"doi:10.1109/wacvw58289.2023.00029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacvw58289.2023.00029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049535079","display_name":"Hangyue Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hangyue Zhao","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Network System and Network Culture,China","Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Network System and Network Culture,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023609916","display_name":"Hongpu Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongpu Zhang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Network System and Network Culture,China","Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Network System and Network Culture,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101099912","display_name":"Yanyun Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyun Zhao","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Network System and Network Culture,China","Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Network System and Network Culture,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049535079"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":20.1183,"has_fulltext":false,"cited_by_count":163,"citation_normalized_percentile":{"value":0.99641727,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"233","last_page":"238"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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":0.9994000196456909,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.975600004196167,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11133","display_name":"UAV Applications and Optimization","score":0.965499997138977,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.7332735657691956},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.650959312915802},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6152889728546143},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5947381258010864},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.5642666220664978},{"id":"https://openalex.org/keywords/search-and-rescue","display_name":"Search and rescue","score":0.5217198133468628},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46397027373313904},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4623414874076843},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4227592349052429},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3992604911327362},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.36060428619384766},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.17905330657958984},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15818005800247192},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1052660346031189},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.10441792011260986},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10361972451210022},{"id":"https://openalex.org/keywords/oceanography","display_name":"Oceanography","score":0.07582539319992065}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7332735657691956},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.650959312915802},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6152889728546143},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5947381258010864},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.5642666220664978},{"id":"https://openalex.org/C2775935494","wikidata":"https://www.wikidata.org/wiki/Q741964","display_name":"Search and rescue","level":3,"score":0.5217198133468628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46397027373313904},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4623414874076843},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4227592349052429},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3992604911327362},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.36060428619384766},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.17905330657958984},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15818005800247192},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1052660346031189},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.10441792011260986},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10361972451210022},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.07582539319992065},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacvw58289.2023.00029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacvw58289.2023.00029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.8700000047683716,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W2088049833","https://openalex.org/W2193145675","https://openalex.org/W2565639579","https://openalex.org/W2884585870","https://openalex.org/W2952122856","https://openalex.org/W2958435308","https://openalex.org/W2964241181","https://openalex.org/W2996735448","https://openalex.org/W3106250896","https://openalex.org/W3127743092","https://openalex.org/W3159166099","https://openalex.org/W3166716987","https://openalex.org/W3175630421","https://openalex.org/W3176659256","https://openalex.org/W3195537687","https://openalex.org/W3211328899","https://openalex.org/W4236965008","https://openalex.org/W4320487943","https://openalex.org/W4386076325","https://openalex.org/W6800482781"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2101155126","https://openalex.org/W2043093291","https://openalex.org/W2363545964"],"abstract_inverted_index":{"Object":[0],"detection":[1],"algorithms":[2],"play":[3],"an":[4,56],"important":[5],"role":[6],"in":[7,24,86],"maritime":[8],"search":[9],"and":[10,21,37,110],"rescue":[11],"missions,":[12],"where":[13],"they":[14],"are":[15],"designed":[16],"to":[17,46,68,82,93],"detect":[18,69],"people,":[19],"boats":[20],"other":[22],"objects":[23],"open":[25],"water.":[26],"However,":[27],"the":[28,32,87,116,120,133],"SeaDronesee":[29],"dataset":[30],"has":[31],"characteristics":[33],"of":[34,123],"small":[35],"targets":[36],"large":[38],"sea":[39],"surface":[40],"interference,":[41],"which":[42,127],"brings":[43],"great":[44],"challenges":[45],"general":[47],"object":[48],"detectors.":[49],"To":[50,89],"address":[51],"these":[52],"issues,":[53],"we":[54,63,75,97],"propose":[55],"improved":[57],"detector":[58],"YOLOv7-sea.":[59],"Based":[60],"on":[61],"YOLOv7[2],":[62],"add":[64],"a":[65],"prediction":[66],"head":[67],"tiny-scale":[70],"people":[71],"or":[72],"objects.":[73],"Besides,":[74],"integrate":[76],"Simple,":[77],"Parameter-Free":[78],"Attention":[79],"Module":[80],"(SimAM)":[81],"find":[83],"attention":[84],"regions":[85],"scene.":[88],"achieve":[90],"further":[91],"improvements":[92],"our":[94],"proposed":[95],"YOLOv7-sea,":[96],"provide":[98],"some":[99],"useful":[100],"strategies":[101],"such":[102],"as":[103],"data":[104],"augmentation,":[105],"Test":[106],"time":[107],"augmentation":[108],"(TTA),":[109],"bundled":[111],"box":[112],"fusion":[113],"(WBF).":[114],"On":[115],"ODv2":[117],"challenge":[118],"dataset,":[119],"AP":[121],"result":[122],"YOLOv7-sea":[124],"is":[125,128],"59.00%,":[126],"about":[129],"7%":[130],"higher":[131],"than":[132],"baseline":[134],"model":[135],"(YOLOv7).":[136]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":45},{"year":2024,"cited_by_count":82},{"year":2023,"cited_by_count":31}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}
