{"id":"https://openalex.org/W4385489707","doi":"https://doi.org/10.1109/tai.2023.3300668","title":"A Fine-Grained Detector of Face Mask Wearing Status Based on Improved YOLOX","display_name":"A Fine-Grained Detector of Face Mask Wearing Status Based on Improved YOLOX","publication_year":2023,"publication_date":"2023-08-02","ids":{"openalex":"https://openalex.org/W4385489707","doi":"https://doi.org/10.1109/tai.2023.3300668"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2023.3300668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2023.3300668","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","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/A5083245914","display_name":"Hongli Xiao","orcid":"https://orcid.org/0000-0002-6352-8481"},"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"]},{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongli Xiao","raw_affiliation_strings":["School of Software, Taicang Campus, Northwestern Polytechnical University, Suzhou, China","School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Taicang Campus, Northwestern Polytechnical University, Suzhou, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042066946","display_name":"Bingshu Wang","orcid":"https://orcid.org/0000-0002-2603-8328"},"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":"Bingshu Wang","raw_affiliation_strings":["School of Software, Taicang Campus, Northwestern Polytechnical University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Taicang Campus, Northwestern Polytechnical University, Suzhou, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680275","display_name":"Jiangbin Zheng","orcid":"https://orcid.org/0000-0001-5249-2148"},"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":"Jiangbin Zheng","raw_affiliation_strings":["School of Software, Taicang Campus, Northwestern Polytechnical University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Taicang Campus, Northwestern Polytechnical University, Suzhou, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101436881","display_name":"Licheng Liu","orcid":"https://orcid.org/0000-0003-4891-9211"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Liu","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100643265","display_name":"C. L. Philip Chen","orcid":"https://orcid.org/0000-0001-5451-7230"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"C. L. Philip Chen","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5083245914"],"corresponding_institution_ids":["https://openalex.org/I17145004","https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":1.3529,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.83083918,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"5","issue":"4","first_page":"1816","last_page":"1830"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9948999881744385,"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/T11448","display_name":"Face recognition and analysis","score":0.9948999881744385,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9789999723434448,"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":0.6629128456115723},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5657786130905151},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4330292046070099},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.424178808927536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4070090651512146},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.36265480518341064},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3406503200531006},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2594102621078491},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.20158380270004272},{"id":"https://openalex.org/keywords/social-science","display_name":"Social science","score":0.05035623908042908}],"concepts":[{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6629128456115723},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5657786130905151},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4330292046070099},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.424178808927536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4070090651512146},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.36265480518341064},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3406503200531006},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2594102621078491},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.20158380270004272},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.05035623908042908}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tai.2023.3300668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2023.3300668","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2353011048","display_name":null,"funder_award_id":"G2020KY05113","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5875277801","display_name":null,"funder_award_id":"61972321","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5905890332","display_name":null,"funder_award_id":"61901388","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8904910473","display_name":null,"funder_award_id":"62071174","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}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W2031489346","https://openalex.org/W2193145675","https://openalex.org/W2738226240","https://openalex.org/W2739722733","https://openalex.org/W2752782242","https://openalex.org/W2907563992","https://openalex.org/W2962770929","https://openalex.org/W2963037989","https://openalex.org/W2963566548","https://openalex.org/W2964231884","https://openalex.org/W2964241181","https://openalex.org/W3005145900","https://openalex.org/W3010785824","https://openalex.org/W3014043262","https://openalex.org/W3021137017","https://openalex.org/W3021953217","https://openalex.org/W3034552680","https://openalex.org/W3034971973","https://openalex.org/W3044778821","https://openalex.org/W3045576536","https://openalex.org/W3048140877","https://openalex.org/W3070220677","https://openalex.org/W3092313915","https://openalex.org/W3094174933","https://openalex.org/W3105153358","https://openalex.org/W3106250896","https://openalex.org/W3109940015","https://openalex.org/W3112087292","https://openalex.org/W3126961265","https://openalex.org/W3128758033","https://openalex.org/W3133830781","https://openalex.org/W3134154885","https://openalex.org/W3137508402","https://openalex.org/W3138786299","https://openalex.org/W3142882742","https://openalex.org/W3149292000","https://openalex.org/W3161094615","https://openalex.org/W3162760148","https://openalex.org/W3184439416","https://openalex.org/W3192515930","https://openalex.org/W3205812661","https://openalex.org/W3208154594","https://openalex.org/W4205603901","https://openalex.org/W4206748347","https://openalex.org/W4206974046","https://openalex.org/W4210695454","https://openalex.org/W4210849495","https://openalex.org/W4286602937","https://openalex.org/W4287825176","https://openalex.org/W4289752563","https://openalex.org/W4297775537","https://openalex.org/W4312351417","https://openalex.org/W4313187466","https://openalex.org/W6678174250","https://openalex.org/W6737664043","https://openalex.org/W6757497290","https://openalex.org/W6776240797","https://openalex.org/W6795824366","https://openalex.org/W6798838024","https://openalex.org/W6802878479","https://openalex.org/W6804190906"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"The":[0,111],"fast":[1],"outbreak":[2],"of":[3,11,49,69,91,107,128,136,164,173],"coronavirus":[4],"disease":[5],"2019":[6],"(COVID-19)":[7],"and":[8,32,85,120,169,188],"rapid":[9],"proliferation":[10],"its":[12,179],"variants":[13],"have":[14],"continued":[15],"to":[16,21,64,79],"pose":[17],"a":[18,42,59,81,95],"huge":[19],"challenge":[20],"people":[22,37],"around":[23],"the":[24,66,89,126,133,151,193],"world.":[25],"Wearing":[26],"medical":[27],"masks":[28],"properly":[29],"in":[30],"public":[31],"private":[33],"settings":[34],"can":[35],"protect":[36],"from":[38],"COVID-19,":[39],"which":[40,103],"brings":[41],"growing":[43],"demand":[44],"for":[45,145,166,175],"automatic":[46],"detection":[47],"services":[48],"face":[50,70],"mask":[51,108,138],"wearing":[52,67,109,139],"conditions.":[53],"In":[54],"this":[55],"article,":[56],"we":[57],"propose":[58],"fine-grained":[60],"detector":[61,195],"called":[62],"ECA_YOLOX-S":[63,156],"identify":[65],"status":[68],"masks.":[71],"Efficient":[72],"channel":[73],"attention":[74],"is":[75,101],"introduced":[76],"into":[77],"YOLOX-S":[78],"reach":[80],"tradeoff":[82],"between":[83],"effectiveness":[84],"efficiency.":[86],"To":[87,125],"demonstrate":[88,154],"performance":[90],"our":[92],"proposed":[93,112,194],"method,":[94],"Fine-grained":[96],"Face":[97],"Mask":[98],"(FineFM)":[99],"dataset":[100,114,153],"created,":[102],"covers":[104,121],"four":[105],"classes":[106],"status.":[110],"FineFM":[113,152],"has":[115,132,196],"16":[116],"955":[117],"annotated":[118],"images":[119,140],"multiple":[122],"realistic":[123,146,187],"scenarios.":[124],"best":[127],"authors'":[129],"knowledge,":[130],"it":[131],"largest":[134],"number":[135],"improper":[137],"among":[141],"all":[142],"similar":[143],"datasets":[144,190],"scenes.":[147],"Experiments":[148],"conducted":[149,184],"on":[150,185],"that":[155,192],"achieves":[157],"an":[158,170],"overall":[159,171],"mean":[160],"average":[161],"precision":[162],"(mAP)@.50:95":[163],"86.80%":[165],"moderate":[167],"scenes":[168],"mAP@.50:95":[172],"73.20%":[174],"complex":[176],"scenes,":[177],"outperforming":[178],"benchmark":[180],"model.":[181],"Moreover,":[182],"experiments":[183],"other":[186,199],"simulated":[189],"indicate":[191],"advantages":[197],"over":[198],"methods.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
