乐胖代购免代理版

{"id":"https://openalex.org/W4313315850","doi":"https://doi.org/10.1109/commnet56067.2022.9993933","title":"Facial Emotions Recognition Using Vit and Transfer Learning","display_name":"Facial Emotions Recognition Using Vit and Transfer Learning","publication_year":2022,"publication_date":"2022-12-12","ids":{"openalex":"https://openalex.org/W4313315850","doi":"https://doi.org/10.1109/commnet56067.2022.9993933"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/commnet56067.2022.9993933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5071343655","display_name":"Rachid Bousaid","orcid":"https://orcid.org/0000-0001-7350-0573"},"institutions":[{"id":"https://openalex.org/I4210088687","display_name":"Universit\u00e9 Ibn Zohr","ror":"https://ror.org/006sgpv47","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210088687"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Rachid Bousaid","raw_affiliation_strings":["IRF-SIC Laboratory, Ibn Zohr University,Agadir,Morocco,B.P 8106"],"affiliations":[{"raw_affiliation_string":"IRF-SIC Laboratory, Ibn Zohr University,Agadir,Morocco,B.P 8106","institution_ids":["https://openalex.org/I4210088687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100641654","display_name":"Mohamed El Hajji","orcid":"https://orcid.org/0000-0002-0327-8249"},"institutions":[],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Mohamed El Hajji","raw_affiliation_strings":["CRMEF-SM Avenue My Abdallah BP N° 106,Inezgane,Morocco"],"affiliations":[{"raw_affiliation_string":"CRMEF-SM Avenue My Abdallah BP N° 106,Inezgane,Morocco","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043394491","display_name":"Youssef Es-Saady","orcid":"https://orcid.org/0000-0002-4934-2322"},"institutions":[{"id":"https://openalex.org/I4210088687","display_name":"Universit\u00e9 Ibn Zohr","ror":"https://ror.org/006sgpv47","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210088687"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Youssef Es-Saady","raw_affiliation_strings":["IRF-SIC Laboratory, Ibn Zohr University,Agadir,Morocco,B.P 8106"],"affiliations":[{"raw_affiliation_string":"IRF-SIC Laboratory, Ibn Zohr University,Agadir,Morocco,B.P 8106","institution_ids":["https://openalex.org/I4210088687"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.743,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.356739,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":83,"max":85},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9987,"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":0.9987,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9965,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9901,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/transfer-of-learning","display_name":"Transfer of learning","score":0.7242104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.77856994},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7777754},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7242104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.66593456},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5373005},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5163159},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.50483495},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46846884},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4399008},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.42162368},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.41330233},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36250675},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.06348717},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/commnet56067.2022.9993933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":18,"referenced_works":["https://openalex.org/W1588539311","https://openalex.org/W1980331490","https://openalex.org/W2003238582","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2165698076","https://openalex.org/W2194775991","https://openalex.org/W2415849862","https://openalex.org/W2738672149","https://openalex.org/W2969540327","https://openalex.org/W2974660039","https://openalex.org/W3012334084","https://openalex.org/W3045055149","https://openalex.org/W3138516171","https://openalex.org/W4246193833","https://openalex.org/W4285178606","https://openalex.org/W4385245566","https://openalex.org/W4394645697"],"related_works":["https://openalex.org/W4312417841","https://openalex.org/W4281381188","https://openalex.org/W4226493464","https://openalex.org/W4206357785","https://openalex.org/W3193565141","https://openalex.org/W3192840557","https://openalex.org/W3183901164","https://openalex.org/W3167935049","https://openalex.org/W3133861977","https://openalex.org/W2951211570"],"abstract_inverted_index":{"Facial":[0],"Emotions":[1],"Recognition":[2],"is":[3,118,163],"one":[4],"of":[5,53,57,93],"the":[6,33,38,46,51,90,129,149,164,176],"celebrated":[7],"and":[8,80,143,167],"challenging":[9],"tasks":[10],"in":[11,32,66,89,148,175],"computer":[12,94],"vision.":[13],"Different":[14],"approaches":[15],"(e.g.,":[16],"Convolutional":[17,22],"Neural":[18],"Network":[19,23],"(CNN),":[20],"Graph":[21],"(GCN),":[24],"Vision":[25],"transformer":[26],"(Vit),":[27],"etc.)":[28],"have":[29,85],"been":[30,62,86],"proposed":[31],"literature.":[34],"In":[35],"recent":[36],"years,":[37],"most":[39],"popular":[40],"methods":[41],"are":[42],"based":[43],"on":[44],"CNNs,":[45],"fact":[47],"which":[48],"has":[49,61],"increased":[50],"accuracy":[52,174],"FER.":[54],"However,":[55],"lack":[56],"large":[58],"training":[59],"databases":[60],"a":[63,87,100,114,144],"major":[64],"issue":[65],"model":[67,117,147,161],"training.":[68],"Researchers":[69],"use":[70,92],"various":[71],"deep-learning":[72],"techniques":[73],"to":[74,98,125,172],"solve":[75],"this":[76],"issue,":[77],"namely":[78],"Transfer-Learning":[79],"Fine-Tuning.":[81],"Moreover,":[82],"Vit":[83,116],"models":[84,138],"trend":[88],"evolving":[91],"vision":[95],"tasks.":[96],"Thus,":[97],"design":[99],"highly":[101],"accurate":[102],"FER":[103,130],"system,":[104],"we":[105],"propose":[106],"modeling":[107],"through":[108,120],"Transfer":[109],"Learning":[110],"(TL)":[111],"technique,":[112],"where":[113],"pre-trained":[115,136,159],"adopted":[119],"fine-tuning":[121,169],"its":[122],"last":[123],"layer(s)":[124],"be":[126],"compatible":[127],"with":[128,158],"task.":[131],"This":[132],"work":[133],"compares":[134],"different":[135],"Vits":[137],"(Vit-B16,":[139],"Vit-B32,":[140],"Vit-L16,":[141],"Vit-L32)":[142],"Vit-CNN":[145],"merging":[146],"RAF-DB":[150,177],"dataset.":[151,178],"Experiment":[152],"results":[153],"showed":[154],"that":[155],"combining":[156],"Vit-b16":[157],"CNN":[160],"VGG16":[162],"best":[165],"model,":[166],"our":[168],"was":[170],"found":[171],"improve":[173]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4313315850","counts_by_year":[{"year":2024,"cited_by_count":5}],"updated_date":"2025-01-04T23:38:13.290689","created_date":"2023-01-06"}