{"id":"https://openalex.org/W4387883154","doi":"https://doi.org/10.1109/iwis58789.2023.10284687","title":"Simultaneous Person, Face, and Hand Detector Based on Improved YOLOv5","display_name":"Simultaneous Person, Face, and Hand Detector Based on Improved YOLOv5","publication_year":2023,"publication_date":"2023-08-09","ids":{"openalex":"https://openalex.org/W4387883154","doi":"https://doi.org/10.1109/iwis58789.2023.10284687"},"language":"en","primary_location":{"id":"doi:10.1109/iwis58789.2023.10284687","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwis58789.2023.10284687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Workshop on Intelligent Systems (IWIS)","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/A5079734356","display_name":"Duy-Linh Nguyen","orcid":"https://orcid.org/0000-0001-6184-4133"},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Duy-Linh Nguyen","raw_affiliation_strings":["University of Ulsan,Department of Electrical, Electronic and Computer Engineering,Ulsan,Korea","Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, Korea"],"affiliations":[{"raw_affiliation_string":"University of Ulsan,Department of Electrical, Electronic and Computer Engineering,Ulsan,Korea","institution_ids":["https://openalex.org/I40542001"]},{"raw_affiliation_string":"Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, Korea","institution_ids":["https://openalex.org/I40542001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057436905","display_name":"Xuan-Thuy Vo","orcid":"https://orcid.org/0000-0002-7411-0697"},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Xuan-Thuy Vo","raw_affiliation_strings":["University of Ulsan,Department of Electrical, Electronic and Computer Engineering,Ulsan,Korea","Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, Korea"],"affiliations":[{"raw_affiliation_string":"University of Ulsan,Department of Electrical, Electronic and Computer Engineering,Ulsan,Korea","institution_ids":["https://openalex.org/I40542001"]},{"raw_affiliation_string":"Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, Korea","institution_ids":["https://openalex.org/I40542001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010613480","display_name":"Adri Priadana","orcid":"https://orcid.org/0000-0002-1553-7631"},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Adri Priadana","raw_affiliation_strings":["University of Ulsan,Department of Electrical, Electronic and Computer Engineering,Ulsan,Korea","Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, Korea"],"affiliations":[{"raw_affiliation_string":"University of Ulsan,Department of Electrical, Electronic and Computer Engineering,Ulsan,Korea","institution_ids":["https://openalex.org/I40542001"]},{"raw_affiliation_string":"Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, Korea","institution_ids":["https://openalex.org/I40542001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044448641","display_name":"Kang-Hyun Jo","orcid":"https://orcid.org/0000-0002-4937-7082"},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kang-Hyun Jo","raw_affiliation_strings":["University of Ulsan,Department of Electrical, Electronic and Computer Engineering,Ulsan,Korea","Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, Korea"],"affiliations":[{"raw_affiliation_string":"University of Ulsan,Department of Electrical, Electronic and Computer Engineering,Ulsan,Korea","institution_ids":["https://openalex.org/I40542001"]},{"raw_affiliation_string":"Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, Korea","institution_ids":["https://openalex.org/I40542001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5079734356"],"corresponding_institution_ids":["https://openalex.org/I40542001"],"apc_list":null,"apc_paid":null,"fwci":0.246,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.535835,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980000257492065,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980000257492065,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9979000091552734,"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/T11448","display_name":"Face recognition and analysis","score":0.9977999925613403,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.7837504744529724},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.7711334824562073},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7615339756011963},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7255610823631287},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6834083199501038},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5903449654579163},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.5614399909973145},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5062436461448669},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3440914452075958},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33067086338996887},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.17685076594352722},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1729230284690857},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07413780689239502},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.05419251322746277}],"concepts":[{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.7837504744529724},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.7711334824562073},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7615339756011963},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7255610823631287},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6834083199501038},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5903449654579163},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.5614399909973145},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5062436461448669},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3440914452075958},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33067086338996887},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.17685076594352722},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1729230284690857},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07413780689239502},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.05419251322746277},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwis58789.2023.10284687","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwis58789.2023.10284687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Workshop on Intelligent Systems (IWIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2009618608","https://openalex.org/W2021214015","https://openalex.org/W2144953165","https://openalex.org/W2156547346","https://openalex.org/W2486323017","https://openalex.org/W2560934276","https://openalex.org/W2768865287","https://openalex.org/W2769176102","https://openalex.org/W2884585870","https://openalex.org/W2916232351","https://openalex.org/W2955425717","https://openalex.org/W2962850098","https://openalex.org/W2963857746","https://openalex.org/W2964325361","https://openalex.org/W3085394167","https://openalex.org/W3092165146","https://openalex.org/W3126383446","https://openalex.org/W3194790201","https://openalex.org/W3199297239","https://openalex.org/W3213952297","https://openalex.org/W4312861997","https://openalex.org/W4386076625","https://openalex.org/W6630260807","https://openalex.org/W6743723960","https://openalex.org/W6762718338","https://openalex.org/W6777585957"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2366906938","https://openalex.org/W2349391998","https://openalex.org/W4205655149","https://openalex.org/W2000775715","https://openalex.org/W2795393339","https://openalex.org/W2626393719","https://openalex.org/W4390618967","https://openalex.org/W4321487865","https://openalex.org/W2074467390"],"abstract_inverted_index":{"Many":[0],"person,":[1,39],"face,":[2,40],"and":[3,41,56,63,72,88,102,109],"hand":[4,42],"detectors":[5,24],"have":[6],"reached":[7,84],"remarkable":[8],"achievements":[9],"in":[10,29],"the":[11,15,54,75,97,110],"last":[12],"century.":[13],"With":[14],"convolutional":[16],"neural":[17],"networks'":[18],"emergence,":[19],"applications":[20],"based":[21,44],"on":[22,45,52,74],"these":[23],"were":[25],"increasingly":[26],"widely":[27],"applied":[28],"practice.":[30],"Following":[31],"this":[32,34,82],"trend,":[33],"paper":[35],"develops":[36],"a":[37,80],"simultaneous":[38],"detector":[43],"YOLOv5":[46,99,107],"network":[47,60,83,100],"architecture.":[48,113],"The":[49,67],"research":[50],"focuses":[51],"redesigning":[53],"backbone":[55],"neck":[57],"with":[58],"compact":[59],"architectures":[61,101,108],"EfficientNet":[62],"CBAM":[64],"attention":[65],"technique.":[66],"proposed":[68],"architecture":[69],"is":[70,103],"trained":[71],"evaluated":[73],"fine-tuned":[76],"Human-Parts":[77],"dataset.":[78],"As":[79],"result,":[81],"87.2%":[85],"of":[86,90,96],"mAP@O.5":[87],"58.6%":[89],"mAP@O.5:0.95.":[91],"This":[92],"experimet":[93],"outperforms":[94],"most":[95],"original":[98],"comparable":[104],"to":[105],"large-scale":[106],"latest":[111],"YOLOv8":[112]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
