{"id":"https://openalex.org/W2311523351","doi":"https://doi.org/10.1109/tip.2017.2756450","title":"Frankenstein: Learning Deep Face Representations Using Small Data","display_name":"Frankenstein: Learning Deep Face Representations Using Small Data","publication_year":2017,"publication_date":"2017-09-25","ids":{"openalex":"https://openalex.org/W2311523351","doi":"https://doi.org/10.1109/tip.2017.2756450","mag":"2311523351","pmid":"https://pubmed.ncbi.nlm.nih.gov/28952941"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2017.2756450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2756450","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1603.06470","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075333422","display_name":"Guosheng Hu","orcid":"https://orcid.org/0000-0002-9448-9892"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210101348","display_name":"Centre Inria de l'Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/00n8d6z93","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210101348"]},{"id":"https://openalex.org/I4210149092","display_name":"Laboratoire Jean Kuntzmann","ror":"https://ror.org/04ett5b41","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210149092","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Guosheng Hu","raw_affiliation_strings":["CNRS, Grenoble INP, LJK, Universit\u00e9 Grenoble Alpes, Inria, Grenoble, France","Thoth  - Apprentissage de mod\u00e8les \u00e0 partir de donn\u00e9es massives (France)"],"raw_orcid":"https://orcid.org/0000-0002-9448-9892","affiliations":[{"raw_affiliation_string":"CNRS, Grenoble INP, LJK, Universit\u00e9 Grenoble Alpes, Inria, Grenoble, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210101348","https://openalex.org/I4210149092","https://openalex.org/I899635006"]},{"raw_affiliation_string":"Thoth  - Apprentissage de mod\u00e8les \u00e0 partir de donn\u00e9es massives (France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033413473","display_name":"Xiaojiang Peng","orcid":"https://orcid.org/0000-0002-5783-321X"},"institutions":[{"id":"https://openalex.org/I149735164","display_name":"Hengyang Normal University","ror":"https://ror.org/006bvjm48","country_code":"CN","type":"education","lineage":["https://openalex.org/I149735164"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojiang Peng","raw_affiliation_strings":["Hengyang Normal University, Hengyang, China","Thoth  - Apprentissage de mod\u00e8les \u00e0 partir de donn\u00e9es massives (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hengyang Normal University, Hengyang, China","institution_ids":["https://openalex.org/I149735164"]},{"raw_affiliation_string":"Thoth  - Apprentissage de mod\u00e8les \u00e0 partir de donn\u00e9es massives (France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101445001","display_name":"Yongxin Yang","orcid":"https://orcid.org/0000-0003-4134-8559"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yongxin Yang","raw_affiliation_strings":["Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K","Queen Mary University of London - Department of Computer Science (United Kingdom)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Queen Mary University of London - Department of Computer Science (United Kingdom)","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087823932","display_name":"Timothy M. Hospedales","orcid":"https://orcid.org/0000-0003-4867-7486"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Timothy M. Hospedales","raw_affiliation_strings":["The University of Edinburgh, Edinburgh, U.K","ICSA - Institute for Computing Systems Architecture School of Informatics - University of Edinburgh (School of Informatics 10 Crichton Street Edinburgh EH8 9AB United Kingdom - United Kingdom)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Edinburgh, Edinburgh, U.K","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"ICSA - Institute for Computing Systems Architecture School of Informatics - University of Edinburgh (School of Informatics 10 Crichton Street Edinburgh EH8 9AB United Kingdom - United Kingdom)","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040312210","display_name":"Jakob Verbeek","orcid":"https://orcid.org/0000-0003-1419-1816"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210101348","display_name":"Centre Inria de l'Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/00n8d6z93","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210101348"]},{"id":"https://openalex.org/I4210149092","display_name":"Laboratoire Jean Kuntzmann","ror":"https://ror.org/04ett5b41","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210149092","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jakob Verbeek","raw_affiliation_strings":["CNRS, Grenoble INP, LJK, Universit\u00e9 Grenoble Alpes, Inria, Grenoble, France","Thoth  - Apprentissage de mod\u00e8les \u00e0 partir de donn\u00e9es massives (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Grenoble INP, LJK, Universit\u00e9 Grenoble Alpes, Inria, Grenoble, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210101348","https://openalex.org/I4210149092","https://openalex.org/I899635006"]},{"raw_affiliation_string":"Thoth  - Apprentissage de mod\u00e8les \u00e0 partir de donn\u00e9es massives (France)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.2965,"has_fulltext":true,"cited_by_count":136,"citation_normalized_percentile":{"value":0.98665408,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"27","issue":"1","first_page":"293","last_page":"303"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9984999895095825,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.996399998664856,"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":0.8051303625106812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7767056226730347},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.7405954599380493},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7384222745895386},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.6676692962646484},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6441217064857483},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6142060160636902},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5877910852432251},{"id":"https://openalex.org/keywords/compositing","display_name":"Compositing","score":0.5847355127334595},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5508265495300293},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4998657703399658},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42955929040908813},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3787480890750885}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8051303625106812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7767056226730347},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7405954599380493},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7384222745895386},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.6676692962646484},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6441217064857483},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6142060160636902},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5877910852432251},{"id":"https://openalex.org/C129315195","wikidata":"https://www.wikidata.org/wiki/Q1121886","display_name":"Compositing","level":3,"score":0.5847355127334595},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5508265495300293},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4998657703399658},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42955929040908813},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3787480890750885},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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":6,"locations":[{"id":"doi:10.1109/tip.2017.2756450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2756450","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:28952941","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28952941","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:arXiv.org:1603.06470","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1603.06470","pdf_url":"https://arxiv.org/pdf/1603.06470","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":"","raw_type":null},{"id":"pmh:oai:pure.ed.ac.uk:openaire/21894953-048f-44db-b15b-26f98fad5292","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/21894953-048f-44db-b15b-26f98fad5292","pdf_url":"https://www.research.ed.ac.uk/files/43694102/hu2017frankenstein.pdf","source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Hu, G, Peng, X, Yang, Y, Hospedales, T M & Verbeek, J 2018, 'Frankenstein: Learning Deep Face Representations using Small Data', IEEE Transactions on Image Processing, vol. 27, no. 1, pp. 293 - 303. https://doi.org/10.1109/TIP.2017.2756450","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.ed.ac.uk:publications/21894953-048f-44db-b15b-26f98fad5292","is_oa":true,"landing_page_url":"http://ieeexplore.ieee.org/document/8049355/","pdf_url":"https://www.research.ed.ac.uk/en/publications/21894953-048f-44db-b15b-26f98fad5292","source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","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":"","raw_type":""},{"id":"pmh:oai:HAL:hal-01306168v2","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01306168","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Image Processing, 2018, 27 (1), pp.293-303. &#x27E8;10.1109/TIP.2017.2756450&#x27E9;","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1603.06470","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1603.06470","pdf_url":"https://arxiv.org/pdf/1603.06470","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":"","raw_type":null},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3178059172","display_name":null,"funder_award_id":"2016TP1020","funder_id":"https://openalex.org/F4320330206","funder_display_name":"Science and Technology Program of Hunan Province"},{"id":"https://openalex.org/G3964255678","display_name":"Machine learning with deep neural networks","funder_award_id":"ANR-16-CE23-0006","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G445413564","display_name":null,"funder_award_id":"61502152","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5008801462","display_name":null,"funder_award_id":"ANR-11-LABX-0025-01","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G6175499886","display_name":"Systemes et Algorithmes Pervasifs au confluent des mondes physique et num\u00e9rique","funder_award_id":"ANR-11-LABX-0025","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320330206","display_name":"Science and Technology Program of Hunan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":91,"referenced_works":["https://openalex.org/W170472577","https://openalex.org/W1425104224","https://openalex.org/W1491389626","https://openalex.org/W1509966554","https://openalex.org/W1545641654","https://openalex.org/W1591870335","https://openalex.org/W1592934690","https://openalex.org/W1622838444","https://openalex.org/W1686810756","https://openalex.org/W1703179648","https://openalex.org/W1712035052","https://openalex.org/W1782590233","https://openalex.org/W1832881114","https://openalex.org/W1849277567","https://openalex.org/W1896424170","https://openalex.org/W1901075642","https://openalex.org/W1913277147","https://openalex.org/W1916406603","https://openalex.org/W1935685005","https://openalex.org/W1945608308","https://openalex.org/W1950843348","https://openalex.org/W1966385142","https://openalex.org/W1975533357","https://openalex.org/W1975780119","https://openalex.org/W1998808035","https://openalex.org/W2012592962","https://openalex.org/W2041334360","https://openalex.org/W2047186200","https://openalex.org/W2060280062","https://openalex.org/W2070604790","https://openalex.org/W2085810284","https://openalex.org/W2096733369","https://openalex.org/W2097117768","https://openalex.org/W2098693229","https://openalex.org/W2102605133","https://openalex.org/W2106053110","https://openalex.org/W2109486640","https://openalex.org/W2109824782","https://openalex.org/W2110364349","https://openalex.org/W2114588272","https://openalex.org/W2117553576","https://openalex.org/W2121647436","https://openalex.org/W2121900453","https://openalex.org/W2133444763","https://openalex.org/W2140609507","https://openalex.org/W2144172034","https://openalex.org/W2145094598","https://openalex.org/W2145287260","https://openalex.org/W2151103935","https://openalex.org/W2155759509","https://openalex.org/W2156303437","https://openalex.org/W2159737176","https://openalex.org/W2163605009","https://openalex.org/W2167260591","https://openalex.org/W2168239064","https://openalex.org/W2194775991","https://openalex.org/W2200948049","https://openalex.org/W2203820691","https://openalex.org/W2304348237","https://openalex.org/W2325939864","https://openalex.org/W2467838519","https://openalex.org/W2493181180","https://openalex.org/W2519280274","https://openalex.org/W2523746035","https://openalex.org/W2591440668","https://openalex.org/W2738069262","https://openalex.org/W2949256960","https://openalex.org/W2952304308","https://openalex.org/W2962835968","https://openalex.org/W2964014798","https://openalex.org/W2997095758","https://openalex.org/W2997574889","https://openalex.org/W3099206234","https://openalex.org/W6606897240","https://openalex.org/W6632636493","https://openalex.org/W6635370893","https://openalex.org/W6637373629","https://openalex.org/W6639204139","https://openalex.org/W6639495226","https://openalex.org/W6640455264","https://openalex.org/W6675751002","https://openalex.org/W6681096077","https://openalex.org/W6681239517","https://openalex.org/W6682864246","https://openalex.org/W6684191040","https://openalex.org/W6697959347","https://openalex.org/W6700903540","https://openalex.org/W6719727587","https://openalex.org/W6727000516","https://openalex.org/W6727794398","https://openalex.org/W6741761212"],"related_works":["https://openalex.org/W3185156046","https://openalex.org/W2922305141","https://openalex.org/W1552490587","https://openalex.org/W2786391746","https://openalex.org/W3035701170","https://openalex.org/W3132346564","https://openalex.org/W2991483587","https://openalex.org/W2914559142","https://openalex.org/W4381430104","https://openalex.org/W4226059458"],"abstract_inverted_index":{"Deep":[0],"convolutional":[1],"neural":[2],"networks":[3],"have":[4],"recently":[5],"proven":[6],"extremely":[7],"effective":[8],"for":[9],"difficult":[10,51],"face":[11,39,74,122],"recognition":[12,123],"problems":[13],"in":[14,76],"uncontrolled":[15],"settings.":[16],"To":[17],"train":[18],"such":[19,35,41],"networks,":[20],"very":[21,63],"large":[22,42,64],"training":[23,43,65,96],"sets":[24,45,67],"are":[25,46],"needed":[26],"with":[27,102],"millions":[28],"of":[29,68],"labeled":[30],"images.":[31,108],"For":[32],"some":[33],"applications,":[34],"as":[36,91,93],"near-infrared":[37],"(NIR)":[38],"recognition,":[40],"data":[44,66,79,124],"not":[47],"publicly":[48],"available":[49],"and":[50],"to":[52,61,87],"collect.":[53],"In":[54],"this":[55,84],"paper,":[56],"we":[57,112],"propose":[58],"a":[59,77],"method":[60,85],"generate":[62],"synthetic":[69],"images":[70,75],"by":[71],"compositing":[72],"real":[73],"given":[78],"set.":[80,125],"We":[81],"show":[82],"that":[83],"enables":[86],"learn":[88],"models":[89,103],"from":[90,105],"few":[92],"10":[94],"000":[95,107],"images,":[97],"which":[98],"perform":[99],"on":[100,117],"par":[101],"trained":[104],"500":[106],"Using":[109],"our":[110],"approach,":[111],"also":[113],"obtain":[114],"state-of-the-art":[115],"results":[116],"the":[118],"CASIA":[119],"NIR-VIS2.0":[120],"heterogeneous":[121]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":31},{"year":2019,"cited_by_count":23},{"year":2018,"cited_by_count":17},{"year":2017,"cited_by_count":6}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
