{"id":"https://openalex.org/W4389880947","doi":"https://doi.org/10.1109/sibgrapi59091.2023.10347168","title":"Open-Set Face Recognition with Neural Ensemble, Maximal Entropy Loss and Feature Augmentation","display_name":"Open-Set Face Recognition with Neural Ensemble, Maximal Entropy Loss and Feature Augmentation","publication_year":2023,"publication_date":"2023-11-06","ids":{"openalex":"https://openalex.org/W4389880947","doi":"https://doi.org/10.1109/sibgrapi59091.2023.10347168"},"language":"en","primary_location":{"id":"doi:10.1109/sibgrapi59091.2023.10347168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgrapi59091.2023.10347168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 36th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","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/A5029263866","display_name":"Rafael Henrique Vareto","orcid":"https://orcid.org/0000-0002-0431-5945"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Rafael Henrique Vareto","raw_affiliation_strings":["Universidade Federal de Minas Gerais,Department of Computer Science,Belo Horizonte,MG,Brazil","Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Minas Gerais,Department of Computer Science,Belo Horizonte,MG,Brazil","institution_ids":["https://openalex.org/I110200422"]},{"raw_affiliation_string":"Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064221367","display_name":"Manuel G\u00fcnther","orcid":"https://orcid.org/0000-0003-1489-7448"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Manuel G\u00fcnther","raw_affiliation_strings":["Universität Zürich,Department of Informatics,Zürich, ZH,Switzerland"],"affiliations":[{"raw_affiliation_string":"Universität Zürich,Department of Informatics,Zürich, ZH,Switzerland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044741265","display_name":"William Robson Schwartz","orcid":"https://orcid.org/0000-0003-1449-8834"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"William Robson Schwartz","raw_affiliation_strings":["Universidade Federal de Minas Gerais,Department of Computer Science,Belo Horizonte,MG,Brazil","Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Minas Gerais,Department of Computer Science,Belo Horizonte,MG,Brazil","institution_ids":["https://openalex.org/I110200422"]},{"raw_affiliation_string":"Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil","institution_ids":["https://openalex.org/I110200422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029263866"],"corresponding_institution_ids":["https://openalex.org/I110200422"],"apc_list":null,"apc_paid":null,"fwci":0.369,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61699561,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"55","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":1.0,"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":1.0,"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":0.9987999796867371,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9983999729156494,"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/facial-recognition-system","display_name":"Facial recognition system","score":0.6741998195648193},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6573805809020996},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6340075135231018},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6320980787277222},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.502770185470581},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4952305853366852},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49176672101020813},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4155585765838623},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3250278830528259},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05966663360595703}],"concepts":[{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6741998195648193},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6573805809020996},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6340075135231018},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6320980787277222},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.502770185470581},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4952305853366852},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49176672101020813},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4155585765838623},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3250278830528259},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05966663360595703},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"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/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/sibgrapi59091.2023.10347168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgrapi59091.2023.10347168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 36th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5376952120","display_name":null,"funder_award_id":"309953/2019-7,203402/2020-0","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"}],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320324369","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W2010573872","https://openalex.org/W2119880843","https://openalex.org/W2143486266","https://openalex.org/W2465368374","https://openalex.org/W2481769138","https://openalex.org/W2779610669","https://openalex.org/W2785496677","https://openalex.org/W2802285900","https://openalex.org/W2871667416","https://openalex.org/W2922482186","https://openalex.org/W2954996726","https://openalex.org/W2962898354","https://openalex.org/W2963108767","https://openalex.org/W2963466847","https://openalex.org/W2963839617","https://openalex.org/W2963968551","https://openalex.org/W2964339532","https://openalex.org/W2969985801","https://openalex.org/W2991044292","https://openalex.org/W2995228464","https://openalex.org/W3004209642","https://openalex.org/W3035693354","https://openalex.org/W3087845270","https://openalex.org/W3092697204","https://openalex.org/W3119179793","https://openalex.org/W3136303746","https://openalex.org/W3169129566","https://openalex.org/W3177034761","https://openalex.org/W4214611271","https://openalex.org/W4220700435","https://openalex.org/W4254647327","https://openalex.org/W4295312788","https://openalex.org/W4302045139","https://openalex.org/W4312402191","https://openalex.org/W4319299736","https://openalex.org/W6754995574","https://openalex.org/W6760184523","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W3147584709","https://openalex.org/W2977677679","https://openalex.org/W1992327129","https://openalex.org/W2381986121","https://openalex.org/W2370918718","https://openalex.org/W2256933480","https://openalex.org/W2027854990","https://openalex.org/W2132337154","https://openalex.org/W2384651879","https://openalex.org/W2985118265"],"abstract_inverted_index":{"Open-set":[0],"face":[1,66],"recognition":[2],"is":[3,128],"a":[4,37],"scenario":[5],"in":[6],"which":[7,94],"biometric":[8],"systems":[9],"have":[10],"incomplete":[11],"knowledge":[12],"of":[13,28,44,80,130],"all":[14],"existing":[15],"subjects.":[16],"This":[17],"arduous":[18],"requirement":[19],"must":[20],"dismiss":[21],"irrelevant":[22],"faces":[23],"and":[24,55,119,133],"focus":[25],"on":[26,64,84,116],"subjects":[27],"interest":[29],"only.":[30],"For":[31],"this":[32,34],"reason,":[33],"work":[35],"introduces":[36],"novel":[38],"method":[39],"that":[40,125],"associates":[41],"an":[42,56],"ensemble":[43,78],"compact":[45],"neural":[46,61,76],"networks":[47,62],"with":[48,89],"data":[49],"augmentation":[50],"at":[51],"the":[52,70,99,126],"feature":[53,72,86],"level":[54],"entropy-based":[57],"cost":[58],"function.":[59],"Deep":[60],"pre-trained":[63],"large":[65],"datasets":[67,121],"serve":[68],"as":[69],"preliminary":[71],"extraction":[73],"module.":[74],"The":[75],"adapter":[77],"consists":[79],"binary":[81],"models":[82],"trained":[83],"original":[85],"representations":[87],"along":[88],"negative":[90],"synthetic":[91],"mix-up":[92],"embeddings,":[93],"are":[95],"adequately":[96],"handled":[97],"by":[98],"designed":[100],"open-set":[101,134],"loss":[102],"since":[103],"they":[104],"do":[105],"not":[106],"belong":[107],"to":[108],"any":[109],"known":[110],"identity.":[111],"We":[112],"carry":[113],"out":[114],"experiments":[115],"well-known":[117],"LFW":[118],"IJB-C":[120],"where":[122],"results":[123],"show":[124],"approach":[127],"capable":[129],"boosting":[131],"closed":[132],"identification":[135],"accuracy.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}