{"id":"https://openalex.org/W4390692616","doi":"https://doi.org/10.1109/tbiom.2024.3352164","title":"EdgeFace: Efficient Face Recognition Model for Edge Devices","display_name":"EdgeFace: Efficient Face Recognition Model for Edge Devices","publication_year":2024,"publication_date":"2024-01-10","ids":{"openalex":"https://openalex.org/W4390692616","doi":"https://doi.org/10.1109/tbiom.2024.3352164"},"language":"en","primary_location":{"id":"doi:10.1109/tbiom.2024.3352164","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbiom.2024.3352164","pdf_url":null,"source":{"id":"https://openalex.org/S4210209367","display_name":"IEEE Transactions on Biometrics Behavior and Identity Science","issn_l":"2637-6407","issn":["2637-6407"],"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 Biometrics, Behavior, and Identity Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://infoscience.epfl.ch/handle/20.500.14299/246208","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002218750","display_name":"Anjith George","orcid":null},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Anjith George","raw_affiliation_strings":["Idiap Research Institute, Martigny, Switzerland"],"raw_orcid":"https://orcid.org/0000-0003-2892-2042","affiliations":[{"raw_affiliation_string":"Idiap Research Institute, Martigny, Switzerland","institution_ids":["https://openalex.org/I7495430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056583825","display_name":"Christophe Ecabert","orcid":null},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Christophe Ecabert","raw_affiliation_strings":["Idiap Research Institute, Martigny, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Idiap Research Institute, Martigny, Switzerland","institution_ids":["https://openalex.org/I7495430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042428131","display_name":"Hatef Otroshi Shahreza","orcid":"https://orcid.org/0000-0002-8199-0098"},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Hatef Otroshi Shahreza","raw_affiliation_strings":["Idiap Research Institute, Martigny, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-8199-0098","affiliations":[{"raw_affiliation_string":"Idiap Research Institute, Martigny, Switzerland","institution_ids":["https://openalex.org/I7495430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076371381","display_name":"Ketan Kotwal","orcid":"https://orcid.org/0000-0003-3766-0881"},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Ketan Kotwal","raw_affiliation_strings":["Idiap Research Institute, Martigny, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Idiap Research Institute, Martigny, Switzerland","institution_ids":["https://openalex.org/I7495430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016330764","display_name":"S\u00e9bastien Marcel","orcid":"https://orcid.org/0000-0002-2497-9140"},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"S\u00e9bastien Marcel","raw_affiliation_strings":["Idiap Research Institute, Martigny, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-2497-9140","affiliations":[{"raw_affiliation_string":"Idiap Research Institute, Martigny, Switzerland","institution_ids":["https://openalex.org/I7495430"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I7495430"],"apc_list":null,"apc_paid":null,"fwci":14.6436,"has_fulltext":false,"cited_by_count":90,"citation_normalized_percentile":{"value":0.99588911,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"6","issue":"2","first_page":"158","last_page":"168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9991999864578247,"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":0.9991999864578247,"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/T10057","display_name":"Face and Expression Recognition","score":0.9936000108718872,"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/T10828","display_name":"Biometric Identification and Security","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7941275238990784},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.7620530128479004},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6119727492332458},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6106842756271362},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5572614073753357},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4849419891834259},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.47024407982826233},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4113459289073944},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07988551259040833}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7941275238990784},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7620530128479004},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6119727492332458},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6106842756271362},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5572614073753357},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4849419891834259},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.47024407982826233},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4113459289073944},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07988551259040833},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tbiom.2024.3352164","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbiom.2024.3352164","pdf_url":null,"source":{"id":"https://openalex.org/S4210209367","display_name":"IEEE Transactions on Biometrics Behavior and Identity Science","issn_l":"2637-6407","issn":["2637-6407"],"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 Biometrics, Behavior, and Identity Science","raw_type":"journal-article"},{"id":"pmh:oai:infoscience.epfl.ch:20.500.14299/246208","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/246208","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"research article"},{"id":"pmh:oai:iris.unil.ch:iris/278851","is_oa":false,"landing_page_url":"https://iris.unil.ch/handle/iris/278851","pdf_url":null,"source":{"id":"https://openalex.org/S7407055444","display_name":"IRIS","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"journal article"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:20.500.14299/246208","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/246208","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"research article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G6451935051","display_name":null,"funder_award_id":"2022-21102100007","funder_id":"https://openalex.org/F4320333051","funder_display_name":"Intelligence Advanced Research Projects Activity"}],"funders":[{"id":"https://openalex.org/F4320333051","display_name":"Intelligence Advanced Research Projects Activity","ror":"https://ror.org/01v3fsc55"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1509966554","https://openalex.org/W2194775991","https://openalex.org/W2279098554","https://openalex.org/W2404498690","https://openalex.org/W2663800299","https://openalex.org/W2736633948","https://openalex.org/W2752828042","https://openalex.org/W2871667416","https://openalex.org/W2883780447","https://openalex.org/W2908510526","https://openalex.org/W2959071612","https://openalex.org/W2962898354","https://openalex.org/W2963037463","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2963844898","https://openalex.org/W2963976704","https://openalex.org/W2969985801","https://openalex.org/W2984737709","https://openalex.org/W2985380233","https://openalex.org/W2989327462","https://openalex.org/W3035414587","https://openalex.org/W3035693354","https://openalex.org/W3083254293","https://openalex.org/W3134309057","https://openalex.org/W3167584510","https://openalex.org/W3168867926","https://openalex.org/W3169129566","https://openalex.org/W3171206729","https://openalex.org/W3177323791","https://openalex.org/W3185801335","https://openalex.org/W3190492058","https://openalex.org/W3195877590","https://openalex.org/W3199528201","https://openalex.org/W3217015638","https://openalex.org/W4206706211","https://openalex.org/W4210986795","https://openalex.org/W4221146853","https://openalex.org/W4286910290","https://openalex.org/W4297775537","https://openalex.org/W4303857113","https://openalex.org/W4312402191","https://openalex.org/W4312443924","https://openalex.org/W4312769845","https://openalex.org/W4313011785","https://openalex.org/W4320036918","https://openalex.org/W4364322732","https://openalex.org/W4385245566","https://openalex.org/W4392411896","https://openalex.org/W4392411904","https://openalex.org/W6630649318","https://openalex.org/W6638046521","https://openalex.org/W6695314431","https://openalex.org/W6737664043","https://openalex.org/W6744072679","https://openalex.org/W6757817989","https://openalex.org/W6762718338","https://openalex.org/W6765749687","https://openalex.org/W6766029800","https://openalex.org/W6784467320","https://openalex.org/W6787974359","https://openalex.org/W6796581206","https://openalex.org/W6797533273","https://openalex.org/W6802648153","https://openalex.org/W6809978379"],"related_works":["https://openalex.org/W96612179","https://openalex.org/W2770234245","https://openalex.org/W2566006169","https://openalex.org/W2987774938","https://openalex.org/W2378211422","https://openalex.org/W632915154","https://openalex.org/W4229499248","https://openalex.org/W2745001401","https://openalex.org/W2098693229","https://openalex.org/W2384651879"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"EdgeFace-a":[5],"lightweight":[6,115],"and":[7,27,30,56,107,117,139],"efficient":[8,144],"face":[9,39,63,102,119],"recognition":[10,40,64,120],"network":[11,49],"inspired":[12],"by":[13],"the":[14,22,79,90,105,131,154],"hybrid":[15],"architecture":[16],"of":[17,24,109,130],"EdgeNeXt.":[18],"By":[19],"effectively":[20],"combining":[21],"strengths":[23],"both":[25],"CNN":[26],"Transformer":[28],"models,":[29],"a":[31],"low":[32,53],"rank":[33],"linear":[34],"layer,":[35],"EdgeFace":[36,48,76,110,123],"achieves":[37,61,128],"excellent":[38],"performance":[41],"optimized":[42],"for":[43,69],"edge":[44,72],"devices.":[45,73],"The":[46,74,150],"proposed":[47,75],"not":[50],"only":[51],"maintains":[52],"computational":[54,148],"costs":[55],"compact":[57],"storage,":[58],"but":[59],"also":[60],"high":[62],"accuracy,":[65],"making":[66],"it":[67],"suitable":[68],"deployment":[70],"on":[71,99,134],"model":[77,124],"achieved":[78],"top":[80],"ranking":[81],"among":[82],"models":[83,116,145],"with":[84,125,146],"fewer":[85],"than":[86],"2M":[87],"parameters":[88,127],"in":[89,111],"IJCB":[91],"2023":[92],"Efficient":[93],"Face":[94],"Recognition":[95],"Competition.":[96],"Extensive":[97],"experiments":[98,155],"challenging":[100],"benchmark":[101],"datasets":[103],"demonstrate":[104],"effectiveness":[106],"efficiency":[108],"comparison":[112],"to":[113,152],"state-of-the-art":[114],"deep":[118],"models.":[121],"Our":[122],"1.77M":[126],"state":[129],"art":[132],"results":[133],"LFW":[135],"(99.73%),":[136],"IJB-B":[137],"(92.67%),":[138],"IJB-C":[140],"(94.85%),":[141],"outperforming":[142],"other":[143],"larger":[147],"complexities.":[149],"code":[151],"replicate":[153],"will":[156],"be":[157],"made":[158],"available":[159],"publicly.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":19},{"year":2025,"cited_by_count":54},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}