{"id":"https://openalex.org/W4391308110","doi":"https://doi.org/10.1109/smc53992.2023.10394367","title":"ICE-YoloX: An Effective Face Mask Detection Method","display_name":"ICE-YoloX: An Effective Face Mask Detection Method","publication_year":2023,"publication_date":"2023-10-01","ids":{"openalex":"https://openalex.org/W4391308110","doi":"https://doi.org/10.1109/smc53992.2023.10394367"},"language":"en","primary_location":{"id":"doi:10.1109/smc53992.2023.10394367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc53992.2023.10394367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5100360558","display_name":"Jiaxin Chen","orcid":"https://orcid.org/0000-0003-0548-4094"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiaxin Chen","raw_affiliation_strings":["Hangzhou Dianzi University,Department of School of Communication Engineering,Hangzhou,Zhejiang,China","Department of School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,Department of School of Communication Engineering,Hangzhou,Zhejiang,China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"Department of School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100709506","display_name":"Xuguang Zhang","orcid":"https://orcid.org/0000-0001-8684-5802"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuguang Zhang","raw_affiliation_strings":["Hangzhou Dianzi University,Faculty of School of Communication Engineering,Hangzhou,Zhejiang,China","Faculty of School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,Faculty of School of Communication Engineering,Hangzhou,Zhejiang,China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"Faculty of School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001751578","display_name":"Yinggan Tang","orcid":"https://orcid.org/0000-0002-7440-1742"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinggan Tang","raw_affiliation_strings":["Yanshan University,Faculty of School of Electrical Engineering,Qinhuangdao,Hebei,China","Faculty of School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei, China"],"affiliations":[{"raw_affiliation_string":"Yanshan University,Faculty of School of Electrical Engineering,Qinhuangdao,Hebei,China","institution_ids":["https://openalex.org/I39333907"]},{"raw_affiliation_string":"Faculty of School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006580423","display_name":"Hui Yu","orcid":"https://orcid.org/0000-0002-7655-9228"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hui Yu","raw_affiliation_strings":["University of Portsmouth,Faculty of School of Creative Technologies,Portsmouth,UK,PO1 2DJ"],"affiliations":[{"raw_affiliation_string":"University of Portsmouth,Faculty of School of Creative Technologies,Portsmouth,UK,PO1 2DJ","institution_ids":["https://openalex.org/I63072094"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100360558"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":0.246,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55787813,"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":"1872","last_page":"1877"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9986000061035156,"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":0.9986000061035156,"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":0.995199978351593,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9944999814033508,"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/computer-science","display_name":"Computer science","score":0.698956310749054},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.674248456954956},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6361425518989563},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5690576434135437},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5356566309928894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.529462993144989},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5046273469924927},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.48056748509407043},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4412391483783722},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4403287172317505},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.4169190526008606},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12872222065925598},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09560057520866394},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.0729447603225708}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.698956310749054},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.674248456954956},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6361425518989563},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5690576434135437},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5356566309928894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.529462993144989},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5046273469924927},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.48056748509407043},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4412391483783722},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4403287172317505},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.4169190526008606},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12872222065925598},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09560057520866394},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0729447603225708},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/smc53992.2023.10394367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc53992.2023.10394367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2102605133","https://openalex.org/W2476548250","https://openalex.org/W2565639579","https://openalex.org/W2887213393","https://openalex.org/W2963037989","https://openalex.org/W2963163009","https://openalex.org/W2963857746","https://openalex.org/W2967141048","https://openalex.org/W3034971973","https://openalex.org/W3097096317","https://openalex.org/W3097484241","https://openalex.org/W3118308958","https://openalex.org/W3118387413","https://openalex.org/W3132379841","https://openalex.org/W3138958001","https://openalex.org/W3149292000","https://openalex.org/W3180134609","https://openalex.org/W4224317296","https://openalex.org/W4310222689","https://openalex.org/W4312183515","https://openalex.org/W4312537325","https://openalex.org/W4313325795","https://openalex.org/W4315489514","https://openalex.org/W4321479723","https://openalex.org/W4321479797","https://openalex.org/W4321479815","https://openalex.org/W4386076325"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W3161582628","https://openalex.org/W2999505782"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"technologies":[2],"such":[3],"as":[4],"YoloX":[5,21,78],"have":[6],"achieved":[7,131],"impressive":[8],"progress":[9],"in":[10,20,29,40,71],"face":[11],"mask":[12],"detection":[13],"recently.":[14],"However,":[15],"the":[16,34,77,84,97,102,105,113,127],"neck":[17],"network":[18,22,61,69,79],"used":[19],"may":[23],"lead":[24],"to":[25,33,110,118],"severe":[26],"confounding":[27,80],"effect":[28,81],"feature":[30,67],"mapping":[31],"due":[32],"inherent":[35],"defect":[36],"of":[37,49,86,104],"channel":[38],"reduction":[39],"hybrid":[41],"fusion,":[42],"which":[43,74],"affects":[44],"its":[45],"precise":[46],"localization":[47],"ability":[48],"mask-wearing":[50],"targets.":[51],"To":[52],"tackle":[53],"this":[54,72],"issue,":[55],"we":[56],"present":[57],"a":[58],"new":[59],"FPN":[60],"structure":[62],"(ICE-FPN)":[63],"based":[64],"on":[65,96],"channel-enhanced":[66],"pyramid":[68],"(CE-FPN)":[70],"paper,":[73],"can":[75],"mitigate":[76],"while":[82],"reducing":[83],"number":[85],"parameters":[87],"and":[88,112,122],"computational":[89],"effort":[90],"caused":[91],"by":[92],"CE-FPN.":[93],"Experiments":[94],"conducted":[95],"WMD":[98],"dataset":[99],"show":[100],"that":[101,126],"mAP0.5":[103],"model":[106],"improves":[107,115],"from":[108,116],"99.54%":[109],"99.62%":[111],"mAP0.75":[114],"89.47%":[117],"91.35%.":[119],"The":[120],"ablation":[121],"comparison":[123],"experiments":[124],"demonstrate":[125],"proposed":[128],"ICE-YoloX":[129],"has":[130],"superior":[132],"performance":[133],"over":[134],"existing":[135],"methods.":[136]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
