{"id":"https://openalex.org/W3035519862","doi":"https://doi.org/10.1109/icme46284.2020.9102792","title":"Iterative Dynamic Generic Learning For Single Sample Face Recognition With A Contaminated Gallery","display_name":"Iterative Dynamic Generic Learning For Single Sample Face Recognition With A Contaminated Gallery","publication_year":2020,"publication_date":"2020-06-09","ids":{"openalex":"https://openalex.org/W3035519862","doi":"https://doi.org/10.1109/icme46284.2020.9102792","mag":"3035519862"},"language":"en","primary_location":{"id":"doi:10.1109/icme46284.2020.9102792","doi":"https://doi.org/10.1109/icme46284.2020.9102792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme46284.2020.9102792","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5045734633","display_name":"Meng Pang","orcid":"https://orcid.org/0000-0001-7184-2043","observed_orcids":["https://orcid.org/0000-0001-7184-2043"]},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Meng Pang","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038516431","display_name":"Yiu\u2010ming Cheung","orcid":"https://orcid.org/0000-0001-7629-4648","observed_orcids":["https://orcid.org/0000-0001-7629-4648"]},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yiu-ming Cheung","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038698223","display_name":"Qiquan Shi","orcid":"https://orcid.org/0000-0002-2360-2667","observed_orcids":["https://orcid.org/0000-0002-2360-2667"]},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiquan Shi","raw_affiliation_strings":["Huawei Noah\u2019s Ark Lab, Hong Kong SAR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Noah\u2019s Ark Lab, Hong Kong SAR","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100730941","display_name":"Mengke Li","orcid":"https://orcid.org/0000-0002-9433-9683","observed_orcids":["https://orcid.org/0000-0002-9433-9683"]},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Mengke Li","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2311,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53681501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.8895999789237976,"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/T10057","display_name":"Face and Expression Recognition","score":0.8895999789237976,"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/T11448","display_name":"Face recognition and analysis","score":0.1062999963760376,"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":0.0012000000569969416,"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/intra-individual-variability","display_name":"within-person variability","score":0.8080000281333923},{"id":"https://openalex.org/keywords/label-estimation","display_name":"label estimation","score":0.7229999899864197},{"id":"https://openalex.org/keywords/iterative-learning","display_name":"iterative learning","score":0.5550000071525574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7014167308807373},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6921601891517639},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6240286231040955},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5991878509521484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5205353498458862},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4305684268474579},{"id":"https://openalex.org/C112570922","wikidata":"https://www.wikidata.org/wiki/Q60528603","display_name":"Contamination","level":2,"score":0.4125417172908783},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3837326467037201},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme46284.2020.9102792","doi":"https://doi.org/10.1109/icme46284.2020.9102792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme46284.2020.9102792","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1591385104","https://openalex.org/W1633071488","https://openalex.org/W1834627138","https://openalex.org/W1997201895","https://openalex.org/W1998808035","https://openalex.org/W2033419168","https://openalex.org/W2090504921","https://openalex.org/W2096027770","https://openalex.org/W2098012923","https://openalex.org/W2100240926","https://openalex.org/W2100549954","https://openalex.org/W2103972604","https://openalex.org/W2108767394","https://openalex.org/W2123921160","https://openalex.org/W2139823104","https://openalex.org/W2144583419","https://openalex.org/W2325939864","https://openalex.org/W2468752595","https://openalex.org/W2507369300","https://openalex.org/W2520742745","https://openalex.org/W2561743383","https://openalex.org/W2756807093","https://openalex.org/W2784874046","https://openalex.org/W2871667416","https://openalex.org/W2908030971","https://openalex.org/W2963460857","https://openalex.org/W2994340921"],"related_works":["https://openalex.org/W3016316981","https://openalex.org/W2947587845","https://openalex.org/W1981842264","https://openalex.org/W2092131162","https://openalex.org/W2989564308","https://openalex.org/W4367839929","https://openalex.org/W2317597963","https://openalex.org/W1461711402","https://openalex.org/W3120410539","https://openalex.org/W3215194078"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"a":[3,21,110,129,143,151],"new":[4,194],"challenging":[5],"problem":[6],"in":[7,57],"face":[8,89],"recognition":[9],"(FR)":[10],"with":[11,20],"single":[12],"sample":[13],"per":[14],"person":[15,96],"(SSPP),":[16],"i.e.,":[17],"SSPP":[18],"FR":[19],"contaminated":[22,30,66],"gallery":[23,28,67,121],"(SSPP-CG":[24],"FR),":[25],"where":[26,118],"the":[27,36,47,74,85,94,101,119,140,157,170,180,186,190,197,206,210,213,221,232],"is":[29,54,81,216],"by":[31,155],"variations.":[32,103],"In":[33],"SSPP-CG":[34],"FR,":[35,107],"popular":[37],"generic":[38,91,163],"learning":[39,208],"methods":[40],"will":[41],"suffer":[42],"serious":[43],"performance":[44],"degradation":[45],"because":[46],"applied":[48],"prototype":[49],"plus":[50],"variation":[51,79,153],"(P+V)":[52],"model":[53,172],"not":[55],"suitable":[56],"such":[58],"scenarios.":[59],"The":[60,65,77],"reasons":[61],"are":[62,126,183],"twofold:":[63],"1)":[64],"samples":[68,92],"yield":[69],"bad":[70],"prototypes":[71,141,195],"to":[72,173,188,220],"represent":[73],"persons;":[75],"2)":[76],"generated":[78],"dictionary":[80,154],"simply":[82],"based":[83,202],"on":[84,226],"subtraction":[86],"of":[87,93,200,212,234],"average":[88],"from":[90,160],"same":[95],"and":[97,122,149],"cannot":[98],"well":[99],"depict":[100],"intra-personal":[102],"To":[104],"tackle":[105],"SSPPCG":[106],"we":[108],"propose":[109],"novel":[111],"Iterative":[112],"Dynamic":[113],"Generic":[114],"Learning":[115],"(IDGL)":[116],"method,":[117],"labeled":[120],"unlabeled":[123],"query":[124,177],"sets":[125],"fed":[127],"into":[128,169],"dynamic":[130,207],"label":[131,203],"feedback":[132],"network":[133],"for":[134,176,196],"learning.":[135],"Specifically,":[136],"IDGL":[137],"first":[138],"recovers":[139],"via":[142],"semi-supervised":[144],"low-rank":[145],"representation":[146],"(SSLRR)":[147],"framework":[148],"learns":[150],"representative":[152],"extracting":[156],"\u201csample-specific\u201d":[158],"corruptions":[159],"an":[161],"auxiliary":[162],"set.":[164],"Then,":[165],"it":[166],"puts":[167],"them":[168],"P+V":[171,201],"estimate":[174],"labels":[175,182,215],"samples.":[178],"Subsequently,":[179],"estimated":[181,214],"used":[184],"as":[185],"feedbacks":[187],"modify":[189],"SSLRR,":[191],"thus":[192],"updating":[193],"next":[198],"round":[199],"estimation.":[204],"With":[205],"network,":[209],"accuracy":[211],"improved":[217],"iteratively":[218],"owing":[219],"steadily":[222],"enhanced":[223],"prototypes.":[224],"Experiments":[225],"various":[227],"benchmark":[228],"databases":[229],"have":[230],"verified":[231],"superiority":[233],"IDGL.":[235]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2020-06-19T00:00:00"}
