{"id":"https://openalex.org/W3157488343","doi":"https://doi.org/10.1109/icpr48806.2021.9413141","title":"Continuous Learning of Face Attribute Synthesis","display_name":"Continuous Learning of Face Attribute Synthesis","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3157488343","doi":"https://doi.org/10.1109/icpr48806.2021.9413141","mag":"3157488343"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9413141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9413141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","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/A5078037196","display_name":"Xin Ning","orcid":"https://orcid.org/0000-0001-7897-1673"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Ning","raw_affiliation_strings":["Institute of Semiconductors, Chinese Academy of Sciences, Cognitive Computing Technology Joint Laboratory, Wave Group,Beijing,China","Institute of Semiconductors, Chinese Academy of Sciences, Cognitive Computing Technology Joint Laboratory, Wave Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Semiconductors, Chinese Academy of Sciences, Cognitive Computing Technology Joint Laboratory, Wave Group,Beijing,China","institution_ids":["https://openalex.org/I4210149211"]},{"raw_affiliation_string":"Institute of Semiconductors, Chinese Academy of Sciences, Cognitive Computing Technology Joint Laboratory, Wave Group, Beijing, China","institution_ids":["https://openalex.org/I4210149211","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003551786","display_name":"Weijun Li","orcid":"https://orcid.org/0000-0001-9668-2883"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijun Li","raw_affiliation_strings":["Institute of Semiconductors, Chinese Academy of Sciences, Cognitive Computing Technology Joint Laboratory, Wave Group,Beijing,China","Institute of Semiconductors, Chinese Academy of Sciences, Cognitive Computing Technology Joint Laboratory, Wave Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Semiconductors, Chinese Academy of Sciences, Cognitive Computing Technology Joint Laboratory, Wave Group,Beijing,China","institution_ids":["https://openalex.org/I4210149211"]},{"raw_affiliation_string":"Institute of Semiconductors, Chinese Academy of Sciences, Cognitive Computing Technology Joint Laboratory, Wave Group, Beijing, China","institution_ids":["https://openalex.org/I4210149211","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101446388","display_name":"Xiaoli Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoli Dong","raw_affiliation_strings":["Institute of Semiconductors, Chinese Academy of Sciences, Cognitive Computing Technology Joint Laboratory, Wave Group,Beijing,China","Institute of Semiconductors, Chinese Academy of Sciences, Cognitive Computing Technology Joint Laboratory, Wave Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Semiconductors, Chinese Academy of Sciences, Cognitive Computing Technology Joint Laboratory, Wave Group,Beijing,China","institution_ids":["https://openalex.org/I4210149211"]},{"raw_affiliation_string":"Institute of Semiconductors, Chinese Academy of Sciences, Cognitive Computing Technology Joint Laboratory, Wave Group, Beijing, China","institution_ids":["https://openalex.org/I4210149211","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081080179","display_name":"Shaohui Xu","orcid":"https://orcid.org/0000-0002-9490-7644"},"institutions":[{"id":"https://openalex.org/I4210139765","display_name":"Beijing Computing Center","ror":"https://ror.org/047r47y76","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210139765"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohui Xu","raw_affiliation_strings":["Cognitive Computing Technology Joint Laboratory, Wave Group,Beijing,China","Cognitive Computing Technology Joint Laboratory, Wave Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Cognitive Computing Technology Joint Laboratory, Wave Group,Beijing,China","institution_ids":["https://openalex.org/I4210139765"]},{"raw_affiliation_string":"Cognitive Computing Technology Joint Laboratory, Wave Group, Beijing, China","institution_ids":["https://openalex.org/I4210139765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077654954","display_name":"Fangzhe Nan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139765","display_name":"Beijing Computing Center","ror":"https://ror.org/047r47y76","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210139765"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangzhe Nan","raw_affiliation_strings":["Cognitive Computing Technology Joint Laboratory, Wave Group,Beijing,China","Cognitive Computing Technology Joint Laboratory, Wave Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Cognitive Computing Technology Joint Laboratory, Wave Group,Beijing,China","institution_ids":["https://openalex.org/I4210139765"]},{"raw_affiliation_string":"Cognitive Computing Technology Joint Laboratory, Wave Group, Beijing, China","institution_ids":["https://openalex.org/I4210139765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009422217","display_name":"Yuanzhou Yao","orcid":"https://orcid.org/0000-0001-5134-2957"},"institutions":[{"id":"https://openalex.org/I37574244","display_name":"Sichuan Agricultural University","ror":"https://ror.org/0388c3403","country_code":"CN","type":"education","lineage":["https://openalex.org/I37574244"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanzhou Yao","raw_affiliation_strings":["College of Information Engineering, Sichuan Agricultural University,Ya&#x0027;an,Sichuan,China","College of Information Engineering, Sichuan Agricultural University, Ya'an, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Sichuan Agricultural University,Ya&#x0027;an,Sichuan,China","institution_ids":["https://openalex.org/I37574244"]},{"raw_affiliation_string":"College of Information Engineering, Sichuan Agricultural University, Ya'an, Sichuan, China","institution_ids":["https://openalex.org/I37574244"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5078037196"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210149211"],"apc_list":null,"apc_paid":null,"fwci":0.5764,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.67302288,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4282","last_page":"4289"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","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/T11448","display_name":"Face recognition and analysis","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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9952999949455261,"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":0.7483154535293579},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6827008128166199},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.622046172618866},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6160480976104736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5724550485610962},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4732834994792938},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4659403860569},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4216432273387909},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41213729977607727},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41086339950561523}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7483154535293579},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6827008128166199},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.622046172618866},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6160480976104736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5724550485610962},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4732834994792938},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4659403860569},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4216432273387909},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41213729977607727},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41086339950561523},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr48806.2021.9413141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9413141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W2125389028","https://openalex.org/W2142884912","https://openalex.org/W2389240195","https://openalex.org/W2560647685","https://openalex.org/W2745497104","https://openalex.org/W2794026873","https://openalex.org/W2962770929","https://openalex.org/W2962947361","https://openalex.org/W2963073614","https://openalex.org/W2963089432","https://openalex.org/W2963470893","https://openalex.org/W2963626105","https://openalex.org/W2963767194","https://openalex.org/W2964082390","https://openalex.org/W2985068832","https://openalex.org/W3035574324","https://openalex.org/W3104940529","https://openalex.org/W3122081138","https://openalex.org/W4294643831","https://openalex.org/W4320013936","https://openalex.org/W6734074887"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4246396837","https://openalex.org/W2482350142","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4385421777","https://openalex.org/W2971552217","https://openalex.org/W2970255644"],"abstract_inverted_index":{"The":[0,79],"generative":[1],"adversarial":[2],"network":[3,34,105,133],"(GAN)":[4],"exhibits":[5],"great":[6],"superiority":[7],"in":[8,35,49,68],"the":[9,22,29,53,57,69,74,87,99,104,110,119,126,135,148,152],"face":[10,44],"attribute":[11,37,45,63],"synthesis":[12,46],"task.":[13],"However,":[14],"existing":[15],"methods":[16],"have":[17,155],"very":[18],"limited":[19],"effects":[20],"on":[21],"expansion":[23],"of":[24,31,56,76,107],"new":[25,36],"attributes.":[26,78,121],"To":[27],"overcome":[28],"limitations":[30],"a":[32,39,131],"single":[33,132],"synthesis,":[38],"continuous":[40,108],"learning":[41],"method":[42,128],"for":[43],"is":[47,60,66,82,115],"proposed":[48,127],"this":[50],"work.":[51],"First,":[52],"feature":[54,70,80],"vector":[55,81],"input":[58],"image":[59],"extracted":[61],"and":[62],"direction":[64,112],"regression":[65],"performed":[67],"space":[71],"to":[72,102,117,137,144],"obtain":[73],"axes":[75],"different":[77],"then":[83],"linearly":[84],"guided":[85],"along":[86],"axis":[88],"so":[89],"that":[90,125],"images":[91],"with":[92,134],"target":[93],"attributes":[94,139,154],"can":[95,129],"be":[96],"synthesized":[97],"by":[98,147],"decoder.":[100],"Finally,":[101],"make":[103],"capable":[106],"learning,":[109],"orthogonal":[111],"modification":[113],"module":[114],"used":[116],"extend":[118],"newly-added":[120],"Experimental":[122],"results":[123],"show":[124],"endow":[130],"ability":[136],"learn":[138],"continuously,":[140],"and,":[141],"as":[142],"compared":[143],"those":[145],"produced":[146],"current":[149],"state-of-the-art":[150],"methods,":[151],"synthetic":[153],"higher":[156],"accuracy.":[157]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
