{"id":"https://openalex.org/W4401452802","doi":"https://doi.org/10.1109/tgrs.2024.3440386","title":"A Cooperative Training Framework for Underwater Object Detection on a Clearer View","display_name":"A Cooperative Training Framework for Underwater Object Detection on a Clearer View","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401452802","doi":"https://doi.org/10.1109/tgrs.2024.3440386"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3440386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3440386","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5035568063","display_name":"Gangqi Chen","orcid":"https://orcid.org/0000-0001-8118-4515"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gangqi Chen","raw_affiliation_strings":["School of Marine Science and Technology and the National Key Laboratory of Unmanned Aerial Vehicle Technology, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0001-8118-4515","affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology and the National Key Laboratory of Unmanned Aerial Vehicle Technology, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068625837","display_name":"Zhaoyong Mao","orcid":"https://orcid.org/0000-0001-5746-6133"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyong Mao","raw_affiliation_strings":["Unmanned System Research Institute and the National Key Laboratory of Unmanned Aerial Vehicle Technology, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unmanned System Research Institute and the National Key Laboratory of Unmanned Aerial Vehicle Technology, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111285707","display_name":"Qinhao Tu","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinhao Tu","raw_affiliation_strings":["School of Software, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081646661","display_name":"Junge Shen","orcid":"https://orcid.org/0000-0002-6563-9206"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junge Shen","raw_affiliation_strings":["Unmanned System Research Institute and the National Key Laboratory of Unmanned Aerial Vehicle Technology, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-6563-9206","affiliations":[{"raw_affiliation_string":"Unmanned System Research Institute and the National Key Laboratory of Unmanned Aerial Vehicle Technology, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":{"value":2495,"currency":"USD","value_usd":2495},"apc_paid":null,"fwci":2.4234,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.88093497,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9557999968528748,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9557999968528748,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9412999749183655,"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/underwater","display_name":"Underwater","score":0.6659420132637024},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.659016489982605},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6411711573600769},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6053817272186279},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5016818046569824},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.48803845047950745},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3931465744972229},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36307352781295776},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2472156584262848},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.22134658694267273},{"id":"https://openalex.org/keywords/oceanography","display_name":"Oceanography","score":0.12153774499893188},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.08830338716506958},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08139914274215698}],"concepts":[{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.6659420132637024},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.659016489982605},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6411711573600769},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6053817272186279},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5016818046569824},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.48803845047950745},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3931465744972229},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36307352781295776},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2472156584262848},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.22134658694267273},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.12153774499893188},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.08830338716506958},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08139914274215698}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3440386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3440386","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4387256556","display_name":null,"funder_award_id":"21RGZN0008","funder_id":"https://openalex.org/F4320336735","funder_display_name":"Changchun Science and Technology Planning Project"},{"id":"https://openalex.org/G740412185","display_name":null,"funder_award_id":"D5000220192","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8621529372","display_name":null,"funder_award_id":"61603233","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336735","display_name":"Changchun Science and Technology Planning Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W2009071067","https://openalex.org/W2088049833","https://openalex.org/W2128254161","https://openalex.org/W2193145675","https://openalex.org/W2963037989","https://openalex.org/W2963351448","https://openalex.org/W2964093967","https://openalex.org/W2964241181","https://openalex.org/W2969510879","https://openalex.org/W2982770724","https://openalex.org/W3015543858","https://openalex.org/W3015679904","https://openalex.org/W3035396860","https://openalex.org/W3096609285","https://openalex.org/W3101458433","https://openalex.org/W3106250896","https://openalex.org/W3107867277","https://openalex.org/W3116271762","https://openalex.org/W3159459366","https://openalex.org/W3172752666","https://openalex.org/W3172759799","https://openalex.org/W3175854195","https://openalex.org/W3176071058","https://openalex.org/W3176831374","https://openalex.org/W3184439416","https://openalex.org/W3194942914","https://openalex.org/W3198088401","https://openalex.org/W3205483686","https://openalex.org/W3217445779","https://openalex.org/W4226197550","https://openalex.org/W4288083516","https://openalex.org/W4312769060","https://openalex.org/W4313131431","https://openalex.org/W4320033720","https://openalex.org/W4367663477","https://openalex.org/W4377079715","https://openalex.org/W4378804701","https://openalex.org/W4386071642","https://openalex.org/W4386071708","https://openalex.org/W4386075798","https://openalex.org/W4386076325","https://openalex.org/W4389459295","https://openalex.org/W4390872675","https://openalex.org/W4390873752","https://openalex.org/W4392607718","https://openalex.org/W4392907684","https://openalex.org/W4393147880","https://openalex.org/W4394711249","https://openalex.org/W6739651123","https://openalex.org/W6739901393","https://openalex.org/W6752402975","https://openalex.org/W6760424586","https://openalex.org/W6798838024","https://openalex.org/W6801512601","https://openalex.org/W6809665764","https://openalex.org/W6850610795"],"related_works":["https://openalex.org/W230091440","https://openalex.org/W4388412763","https://openalex.org/W1999583034","https://openalex.org/W3217214504","https://openalex.org/W2233261550","https://openalex.org/W3168963531","https://openalex.org/W2591930867","https://openalex.org/W4315498985","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Underwater":[0],"optical":[1],"image":[2],"object":[3,43,52],"detection":[4,44,53,146],"plays":[5],"a":[6,17,70,80,118,131,143],"crucial":[7],"role":[8],"in":[9,55,95,177],"fields":[10],"such":[11],"as":[12],"ocean":[13],"exploration.":[14],"However,":[15],"constructing":[16],"comprehensive":[18],"annotated":[19,51],"dataset":[20],"for":[21,49,61,166],"training":[22,74],"is":[23],"challenging,":[24],"especially":[25],"when":[26],"dealing":[27],"with":[28,163,169],"severely":[29],"degraded":[30],"underwater":[31,62,72,178,186],"imagery.":[32],"The":[33,192],"sparsity":[34],"of":[35,42,91,112],"annotations":[36],"can":[37],"significantly":[38],"reduce":[39],"the":[40,89,96,110,126,199,209,215],"performance":[41,176],"algorithms.":[45],"Existing":[46],"methods":[47,164],"designed":[48],"sparsely":[50],"(SAOD)":[54],"terrestrial":[56,167],"scenarios":[57],"are":[58],"not":[59],"optimal":[60],"conditions.":[63],"To":[64],"address":[65],"these":[66],"challenges,":[67],"we":[68,78,116,141],"propose":[69,79,142],"novel":[71,81,144],"cooperative":[73],"framework":[75],"(CTF).":[76],"Specifically,":[77],"conjugate":[82],"data":[83,98],"generation":[84,99],"module":[85,147],"(CDGM)":[86],"to":[87,108,148],"tackle":[88],"issue":[90],"noise":[92],"accumulation":[93],"inherent":[94],"existing":[97,200],"module,":[100],"thereby":[101],"greatly":[102],"enhancing":[103],"pseudo":[104,114,119,138,160],"label":[105,120],"generation.":[106],"Furthermore,":[107],"mitigate":[109],"impacts":[111],"noisy":[113,137,159],"labels,":[115],"present":[117],"calibration":[121],"strategy":[122],"(PLCS)":[123],"that":[124,195],"manipulates":[125],"foreground":[127,155],"confidence":[128],"trend":[129],"toward":[130],"low":[132],"entropy":[133],"distribution,":[134],"effectively":[135],"eliminating":[136],"labels.":[139,161],"Finally,":[140],"decoupled":[145],"alleviate":[149],"interference":[150],"between":[151],"position":[152],"information":[153],"and":[154,211],"confidence,":[156],"further":[157],"reducing":[158],"Compared":[162],"tailored":[165],"conditions":[168],"sparse":[170],"annotations,":[171],"our":[172,196],"approach":[173],"demonstrates":[174],"superior":[175],"scenarios.":[179],"We":[180],"conducted":[181],"extensive":[182],"experiments":[183],"on":[184,208,214],"various":[185],"datasets,":[187,217],"including":[188],"URPC2018,":[189],"DUO,":[190],"etc.":[191],"results":[193],"show":[194],"method":[197],"outperforms":[198],"state-of-the-art":[201,220],"by":[202],"2.0":[203],"mean":[204],"average":[205],"precision":[206],"(mAP)":[207],"URPC2018":[210],"0.9":[212],"mAP":[213],"DUO":[216],"while":[218],"achieving":[219],"performance.":[221],"Code":[222],"will":[223],"be":[224],"released":[225],"athttps://github.com/bobchenlut/coorporate-learing.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
