{"id":"https://openalex.org/W4389781202","doi":"https://doi.org/10.1145/3627341.3630376","title":"Facial Expression Recognition Based on Improved VGG-face Model and Transfer Learning","display_name":"Facial Expression Recognition Based on Improved VGG-face Model and Transfer Learning","publication_year":2023,"publication_date":"2023-08-25","ids":{"openalex":"https://openalex.org/W4389781202","doi":"https://doi.org/10.1145/3627341.3630376"},"language":"en","primary_location":{"id":"doi:10.1145/3627341.3630376","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627341.3630376","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Computer, Vision and Intelligent Technology","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/A5057945542","display_name":"Lin Yu","orcid":"https://orcid.org/0009-0006-1391-3337"},"institutions":[{"id":"https://openalex.org/I118612203","display_name":"Hunan Police Academy","ror":"https://ror.org/02gh10772","country_code":"CN","type":"education","lineage":["https://openalex.org/I118612203"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lin Yu","raw_affiliation_strings":["Hunan Police Academy, China"],"affiliations":[{"raw_affiliation_string":"Hunan Police Academy, China","institution_ids":["https://openalex.org/I118612203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101708323","display_name":"Nan Jiang","orcid":"https://orcid.org/0000-0002-5497-7007"},"institutions":[{"id":"https://openalex.org/I177955009","display_name":"China University of Political Science and Law","ror":"https://ror.org/00e49gy82","country_code":"CN","type":"education","lineage":["https://openalex.org/I177955009"]},{"id":"https://openalex.org/I4210158717","display_name":"Criminal Investigation Police University of China","ror":"https://ror.org/04vnevw94","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158717"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Jiang","raw_affiliation_strings":["Criminal Investigation Police University of China, China and \rChina University of Political Science and Law, China"],"affiliations":[{"raw_affiliation_string":"Criminal Investigation Police University of China, China and \rChina University of Political Science and Law, China","institution_ids":["https://openalex.org/I177955009","https://openalex.org/I4210158717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038440245","display_name":"Haosen Xu","orcid":"https://orcid.org/0009-0007-7421-0659"},"institutions":[{"id":"https://openalex.org/I4210158717","display_name":"Criminal Investigation Police University of China","ror":"https://ror.org/04vnevw94","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158717"]},{"id":"https://openalex.org/I177955009","display_name":"China University of Political Science and Law","ror":"https://ror.org/00e49gy82","country_code":"CN","type":"education","lineage":["https://openalex.org/I177955009"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haosen Xu","raw_affiliation_strings":["Criminal Investigation Police University of China, China and \rChina University of Political Science and Law, China"],"affiliations":[{"raw_affiliation_string":"Criminal Investigation Police University of China, China and \rChina University of Political Science and Law, China","institution_ids":["https://openalex.org/I177955009","https://openalex.org/I4210158717"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009433758","display_name":"Ziang Qi","orcid":"https://orcid.org/0009-0005-0026-0982"},"institutions":[{"id":"https://openalex.org/I177955009","display_name":"China University of Political Science and Law","ror":"https://ror.org/00e49gy82","country_code":"CN","type":"education","lineage":["https://openalex.org/I177955009"]},{"id":"https://openalex.org/I4210158717","display_name":"Criminal Investigation Police University of China","ror":"https://ror.org/04vnevw94","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158717"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhikun Qi","raw_affiliation_strings":["Criminal Investigation Police University of China, China and \rChina University of Political Science and Law, China"],"affiliations":[{"raw_affiliation_string":"Criminal Investigation Police University of China, China and \rChina University of Political Science and Law, China","institution_ids":["https://openalex.org/I177955009","https://openalex.org/I4210158717"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5057945542"],"corresponding_institution_ids":["https://openalex.org/I118612203"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40637751,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14139","display_name":"E-commerce and Technology Innovations","score":0.8230999708175659,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T14139","display_name":"E-commerce and Technology Innovations","score":0.8230999708175659,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.796500027179718,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7463883757591248},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7196636199951172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7015707492828369},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6584846377372742},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6555242538452148},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6466450095176697},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5996939539909363},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5572585463523865},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5078149437904358},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4993619918823242},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.48627984523773193},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.4772357940673828},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.4571821689605713},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.23624014854431152},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14461550116539001}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7463883757591248},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7196636199951172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7015707492828369},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6584846377372742},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6555242538452148},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6466450095176697},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5996939539909363},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5572585463523865},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5078149437904358},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4993619918823242},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.48627984523773193},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.4772357940673828},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.4571821689605713},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.23624014854431152},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14461550116539001},{"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/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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3627341.3630376","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627341.3630376","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Computer, Vision and Intelligent Technology","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2166031825","https://openalex.org/W2918845005","https://openalex.org/W2040482211","https://openalex.org/W4387163326","https://openalex.org/W3108145925","https://openalex.org/W325114128","https://openalex.org/W2185537520","https://openalex.org/W1517271056","https://openalex.org/W2058325696","https://openalex.org/W2356663679"],"abstract_inverted_index":{"The":[0,107,172],"problem":[1,18,117],"of":[2,19,22,104,118,134,182],"facial":[3,28,35,110,127],"expression":[4,29,36,111,128],"recognition":[5,30,37,154,184],"based":[6,39],"on":[7,40,149,156],"VGG-face":[8,42,78],"transfer":[9,33],"learning":[10,34],"is":[11,44,53,163],"studied.":[12],"In":[13],"order":[14],"to":[15,57,75],"solve":[16,115],"the":[17,26,72,77,82,86,91,100,105,116,122,126,132,138,142,153,164,176],"incomplete":[20],"extraction":[21,102],"subtle":[23],"features":[24,112],"in":[25,66,125],"current":[27],"model,":[31,79],"a":[32,179],"algorithm":[38],"improved":[41],"model":[43],"proposed.":[45],"Compared":[46,136],"with":[47,137],"ResNet":[48],"or":[49],"U-Net,":[50],"its":[51],"structure":[52],"relatively":[54],"simple,":[55],"easy":[56],"understand":[58],"and":[59,61,80,130,152,159,169,185],"implement,":[60],"has":[62,145,178],"been":[63],"widely":[64],"used":[65],"face":[67],"related":[68],"tasks.":[69],"By":[70],"improving":[71],"output":[73,95],"module":[74],"enhance":[76],"removing":[81],"full":[83],"connection":[84],"layer,":[85],"final":[87],"convolution":[88],"layer":[89],"uses":[90],"global":[92],"average":[93],"pooled":[94],"features,":[96],"which":[97],"effectively":[98,114],"improves":[99],"feature":[101,140],"performance":[103],"model.":[106],"extracted":[108],"deep":[109],"can":[113],"small":[119],"differences":[120],"between":[121],"class":[123],"samples":[124],"database,":[129],"avoid":[131],"phenomenon":[133],"over-fitting.":[135],"shallow":[139],"analysis,":[141],"proposed":[143],"method":[144,177],"achieved":[146],"significant":[147],"accuracy":[148,155],"four":[150],"databases,":[151],"CK":[157],"+":[158],"Enterface":[160],"'05":[161],"database":[162],"best,":[165],"reaching":[166],"94.":[167],"88%":[168],"91%":[170],"respectively.":[171],"results":[173],"show":[174],"that":[175],"good":[180],"effect":[181],"emotion":[183],"classification.":[186]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}