{"id":"https://openalex.org/W3044525435","doi":"https://doi.org/10.1109/iwssip48289.2020.9145245","title":"Open-set Face Recognition for Small Galleries Using Siamese Networks","display_name":"Open-set Face Recognition for Small Galleries Using Siamese Networks","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3044525435","doi":"https://doi.org/10.1109/iwssip48289.2020.9145245","mag":"3044525435"},"language":"en","primary_location":{"id":"doi:10.1109/iwssip48289.2020.9145245","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip48289.2020.9145245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Systems, Signals and Image Processing (IWSSIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2105.06967","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Gabriel Salomon","orcid":null},"institutions":[{"id":"https://openalex.org/I52418104","display_name":"Universidade Federal do Paran\u00e1","ror":"https://ror.org/05syd6y78","country_code":"BR","type":"education","lineage":["https://openalex.org/I52418104"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Gabriel Salomon","raw_affiliation_strings":["Vision, Robotics and Imaging Laboratory, Universidade Federal do Paran\u00e1, Brazil"],"affiliations":[{"raw_affiliation_string":"Vision, Robotics and Imaging Laboratory, Universidade Federal do Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I52418104"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Alceu Britto","orcid":null},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alceu Britto","raw_affiliation_strings":["PPGIA, Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1, Brazil"],"affiliations":[{"raw_affiliation_string":"PPGIA, Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I176838256"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Rafael H. Vareto","orcid":null},"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":"Rafael H. Vareto","raw_affiliation_strings":["Smart Sense Laboratory, Universidade Federal de Minas Gerais, Brazil"],"affiliations":[{"raw_affiliation_string":"Smart Sense Laboratory, Universidade Federal de Minas Gerais, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"middle","author":{"id":null,"display_name":"William R. Schwartz","orcid":null},"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 R. Schwartz","raw_affiliation_strings":["Smart Sense Laboratory, Universidade Federal de Minas Gerais, Brazil"],"affiliations":[{"raw_affiliation_string":"Smart Sense Laboratory, Universidade Federal de Minas Gerais, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"last","author":{"id":null,"display_name":"David Menotti","orcid":null},"institutions":[{"id":"https://openalex.org/I52418104","display_name":"Universidade Federal do Paran\u00e1","ror":"https://ror.org/05syd6y78","country_code":"BR","type":"education","lineage":["https://openalex.org/I52418104"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"David Menotti","raw_affiliation_strings":["Vision, Robotics and Imaging Laboratory, Universidade Federal do Paran\u00e1, Brazil"],"affiliations":[{"raw_affiliation_string":"Vision, Robotics and Imaging Laboratory, Universidade Federal do Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I52418104"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I52418104"],"apc_list":null,"apc_paid":null,"fwci":0.8832,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.76423561,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"161","last_page":"166"},"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":0.9991999864578247,"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":0.7736999988555908},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6643999814987183},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.5214999914169312},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.48159998655319214},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4309999942779541},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.3790999948978424},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.36480000615119934},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.3488999903202057}],"concepts":[{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7736999988555908},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6883999705314636},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6643999814987183},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6563000082969666},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.5214999914169312},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4982999861240387},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.48159998655319214},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4309999942779541},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3790999948978424},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.36480000615119934},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.3488999903202057},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.3418000042438507},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.3237000107765198},{"id":"https://openalex.org/C14551309","wikidata":"https://www.wikidata.org/wiki/Q4636325","display_name":"3D single-object recognition","level":4,"score":0.31779998540878296},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.305400013923645},{"id":"https://openalex.org/C191070858","wikidata":"https://www.wikidata.org/wiki/Q5428343","display_name":"Face Recognition Grand Challenge","level":5,"score":0.2969000041484833},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2759000062942505},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2669000029563904},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2644999921321869}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iwssip48289.2020.9145245","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip48289.2020.9145245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Systems, Signals and Image Processing (IWSSIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2105.06967","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.06967","pdf_url":"https://arxiv.org/pdf/2105.06967","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2105.06967","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.06967","pdf_url":"https://arxiv.org/pdf/2105.06967","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1175078995","https://openalex.org/W1921147789","https://openalex.org/W2010573872","https://openalex.org/W2026942141","https://openalex.org/W2083397494","https://openalex.org/W2096733369","https://openalex.org/W2105087447","https://openalex.org/W2119880843","https://openalex.org/W2127589108","https://openalex.org/W2138621090","https://openalex.org/W2145287260","https://openalex.org/W2157364932","https://openalex.org/W2158213899","https://openalex.org/W2307523691","https://openalex.org/W2341528187","https://openalex.org/W2536626143","https://openalex.org/W2767983819","https://openalex.org/W2785496677","https://openalex.org/W2963466847","https://openalex.org/W2963559058","https://openalex.org/W2963671154","https://openalex.org/W3092389535","https://openalex.org/W6638046521","https://openalex.org/W6680642933","https://openalex.org/W6700903540","https://openalex.org/W6783696706"],"related_works":[],"abstract_inverted_index":{"Face":[0],"recognition":[1,18,41,101],"has":[2],"been":[3,83],"one":[4],"of":[5,12,45],"the":[6,33,132],"most":[7],"relevant":[8],"and":[9,106,153,160],"explored":[10],"fields":[11],"Biometrics.":[13],"In":[14],"real-world":[15],"applications,":[16,70],"face":[17,40,100,127],"methods":[19,157],"usually":[20],"must":[21],"deal":[22],"with":[23,51],"scenarios":[24],"where":[25,57],"not":[26,58,110],"all":[27,59],"probe":[28,128],"individuals":[29,53,80],"were":[30,141,162],"seen":[31],"during":[32],"training":[34],"phase":[35],"(open-set":[36],"scenarios).":[37],"Therefore,":[38],"open-set":[39,99],"is":[42,66,117,129,171],"a":[43,55,78,87,95,121,126,136,167],"subject":[44],"increasing":[46],"interest":[47],"as":[48,72],"it":[49],"deals":[50],"identifying":[52],"in":[54,63,68,86,107,131,175],"space":[56],"faces":[60],"are":[61,89],"known":[62],"advance.":[64],"This":[65],"useful":[67],"several":[69],"such":[71],"access":[73],"authentication,":[74],"on":[75,103,135,146,150,164,178],"which":[76],"only":[77],"few":[79],"that":[81],"have":[82],"previously":[84],"enrolled":[85,130],"gallery":[88,133],"allowed.":[90],"The":[91],"present":[92],"work":[93],"introduces":[94],"novel":[96],"approach":[97],"towards":[98],"focusing":[102],"small":[104,144,176],"galleries":[105,145,177],"enrollment":[108],"detection,":[109],"identity":[111],"retrieval.":[112],"A":[113],"Siamese":[114],"Network":[115],"architecture":[116],"proposed":[118],"to":[119,123],"learn":[120],"model":[122],"detect":[124],"if":[125],"based":[134],"verification-like":[137],"approach.":[138],"Promising":[139],"results":[140],"achieved":[142],"for":[143,173],"experiments":[147,174],"carried":[148],"out":[149],"Pubfig83,":[151],"FRGCv1":[152],"LFW":[154],"datasets.":[155],"State-of-the-art":[156],"like":[158],"HFCN":[159],"HPLS":[161],"outperformed":[163],"FRGCv1.":[165],"Besides,":[166],"new":[168],"evaluation":[169],"protocol":[170],"introduced":[172],"LFW.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2020-07-29T00:00:00"}
