{"id":"https://openalex.org/W4366438791","doi":"https://doi.org/10.1016/j.asoc.2023.110312","title":"CFNet: Facial expression recognition via constraint fusion under multi-task joint learning network","display_name":"CFNet: Facial expression recognition via constraint fusion under multi-task joint learning network","publication_year":2023,"publication_date":"2023-04-19","ids":{"openalex":"https://openalex.org/W4366438791","doi":"https://doi.org/10.1016/j.asoc.2023.110312"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.asoc.2023.110312","pdf_url":null,"source":{"id":"https://openalex.org/S140556538","display_name":"Applied Soft Computing","issn_l":"1568-4946","issn":["1568-4946","1872-9681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.asoc.2023.110312","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047152998","display_name":"Junhao Xiao","orcid":"https://orcid.org/0000-0003-1129-8036"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhao Xiao","raw_affiliation_strings":["School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042295346","display_name":"Chenquan Gan","orcid":"https://orcid.org/0000-0002-0453-5630"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenquan Gan","raw_affiliation_strings":["School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China","School of Cyber Security and Information Law, Chongqing University of Posts and Telecommunications, Chongqing 400065, China"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"School of Cyber Security and Information Law, Chongqing University of Posts and Telecommunications, Chongqing 400065, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065959325","display_name":"Qingyi Zhu","orcid":"https://orcid.org/0000-0002-1168-1599"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyi Zhu","raw_affiliation_strings":["School of Cyber Security and Information Law, Chongqing University of Posts and Telecommunications, Chongqing 400065, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Security and Information Law, Chongqing University of Posts and Telecommunications, Chongqing 400065, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086734254","display_name":"Ye Zhu","orcid":"https://orcid.org/0000-0003-4776-4932"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Ye Zhu","raw_affiliation_strings":["Centre for Cyber Resilience and Trust, Deakin University, Victoria 3125, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Cyber Resilience and Trust, Deakin University, Victoria 3125, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109282686","display_name":"Gang Liu","orcid":"https://orcid.org/0000-0002-7032-8429"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gang Liu","raw_affiliation_strings":["College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China","institution_ids":["https://openalex.org/I151727225"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086734254","https://openalex.org/A5109282686"],"corresponding_institution_ids":["https://openalex.org/I149704539","https://openalex.org/I151727225"],"apc_list":{"value":3350,"currency":"USD","value_usd":3350,"provenance":"doaj"},"apc_paid":{"value":3350,"currency":"USD","value_usd":3350,"provenance":"doaj"},"fwci":9.134,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.999899,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"141","issue":null,"first_page":"110312","last_page":"110312"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9995,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9995,"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/T10057","display_name":"Face and Expression Recognition","score":0.9975,"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":0.991,"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/leverage","display_name":"Leverage (statistics)","score":0.7037042},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness","score":0.67262703},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.6426007}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.79640293},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7037042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.68668056},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.67262703},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.6426007},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5933263},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5751898},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5119103},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.42055893},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.41927803},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41583353},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3713234},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07740083},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.asoc.2023.110312","pdf_url":null,"source":{"id":"https://openalex.org/S140556538","display_name":"Applied Soft Computing","issn_l":"1568-4946","issn":["1568-4946","1872-9681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.asoc.2023.110312","pdf_url":null,"source":{"id":"https://openalex.org/S140556538","display_name":"Applied Soft Computing","issn_l":"1568-4946","issn":["1568-4946","1872-9681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":57,"referenced_works":["https://openalex.org/W1118201100","https://openalex.org/W1686810756","https://openalex.org/W1987231241","https://openalex.org/W2014185685","https://openalex.org/W2015159529","https://openalex.org/W2068610869","https://openalex.org/W2145310492","https://openalex.org/W2194775991","https://openalex.org/W2343758848","https://openalex.org/W2581082139","https://openalex.org/W2801973746","https://openalex.org/W2805781993","https://openalex.org/W2889978276","https://openalex.org/W2891399311","https://openalex.org/W2904483377","https://openalex.org/W2908186737","https://openalex.org/W2914836171","https://openalex.org/W2934832377","https://openalex.org/W2945866629","https://openalex.org/W2952656508","https://openalex.org/W2954653574","https://openalex.org/W2963446712","https://openalex.org/W2998510732","https://openalex.org/W3000164979","https://openalex.org/W3003720578","https://openalex.org/W3024193661","https://openalex.org/W3041607159","https://openalex.org/W3089923070","https://openalex.org/W3121847537","https://openalex.org/W3127643078","https://openalex.org/W3130875629","https://openalex.org/W3141334570","https://openalex.org/W3153559367","https://openalex.org/W3153807302","https://openalex.org/W3157096843","https://openalex.org/W3157685993","https://openalex.org/W3175546442","https://openalex.org/W3189654580","https://openalex.org/W3197634753","https://openalex.org/W3204070926","https://openalex.org/W3211081651","https://openalex.org/W3212313662","https://openalex.org/W3216427062","https://openalex.org/W4206411193","https://openalex.org/W4211249450","https://openalex.org/W4212797526","https://openalex.org/W4213076478","https://openalex.org/W4214724298","https://openalex.org/W4221046975","https://openalex.org/W4224303994","https://openalex.org/W4244531973","https://openalex.org/W4253573301","https://openalex.org/W4285219239","https://openalex.org/W4288802276","https://openalex.org/W4292893847","https://openalex.org/W4298205916","https://openalex.org/W4403242122"],"related_works":["https://openalex.org/W3121791438","https://openalex.org/W2389739210","https://openalex.org/W2387399993","https://openalex.org/W2387293848","https://openalex.org/W2365736347","https://openalex.org/W2357124094","https://openalex.org/W2348924972","https://openalex.org/W2250140200","https://openalex.org/W2070040999","https://openalex.org/W2047454415"],"abstract_inverted_index":{"In":[0],"facial":[1,139],"expression":[2],"recognition":[3,17,43,84],"(FER),":[4],"global":[5,36,51,136],"and":[6,34,37,52,80,86,121,137,184,190,202],"local":[7,38,53,138],"features":[8,39,54,111],"obtained":[9],"from":[10,113],"the":[11,48,64,77,109,133,147,163,176],"same":[12,65],"face":[13],"may":[14],"have":[15,22],"different":[16,23,114],"accuracy,":[18],"indicating":[19],"that":[20,145],"they":[21],"advantages":[24,49],"in":[25,63,157,200],"recognition.":[26],"Existing":[27],"FER":[28,156],"works":[29],"usually":[30],"focus":[31],"on":[32,132,171,181],"extracting":[33],"fusing":[35,61],"to":[40,60,70,126],"obtain":[41],"better":[42,153],"results.":[44],"Instead":[45],"of":[46,50,73,135,166,179,195],"evaluating":[47],"before":[55],"fusion,":[56],"these":[57],"methods":[58,170],"default":[59],"them":[62],"proportion,":[66],"which":[67],"probably":[68],"leads":[69],"mutual":[71],"suppression":[72],"information":[74],"representation":[75],"between":[76],"two":[78],"features,":[79],"then":[81],"causes":[82],"worse":[83],"ability":[85],"scene":[87],"adaptability.":[88],"To":[89,107],"overcome":[90],"this":[91,93],"weakness,":[92],"paper":[94],"proposes":[95],"a":[96,102,118,122],"multi-task":[97],"joint":[98],"learning":[99],"network":[100],"with":[101,142],"constraint":[103,123],"fusion":[104,124,149],"(called":[105],"CFNet).":[106],"leverage":[108],"key":[110],"extracted":[112],"tasks,":[115],"CFNet":[116,151,167,180,196],"adopts":[117],"multi-loss":[119],"mechanism":[120],"method":[125],"automatically":[127],"assign":[128],"corresponding":[129],"weights":[130],"based":[131],"importance":[134],"information.":[140],"Compared":[141],"existing":[143],"models":[144],"employ":[146],"direct":[148],"strategy,":[150],"has":[152],"adaptability":[154],"for":[155],"complex":[158],"scenes.":[159,204],"Extensive":[160],"evaluations":[161],"show":[162],"superior":[164],"effectiveness":[165],"over":[168],"state-of-the-art":[169],"real-world":[172],"emotion":[173],"datasets.":[174],"Specifically,":[175],"accuracy":[177],"scores":[178],"CK+,":[182],"MMI,":[183],"RAF-DB":[185],"datasets":[186],"are":[187],"99.07%,":[188],"84.62%,":[189],"87.52%,":[191],"respectively.":[192],"The":[193],"robustness":[194],"is":[197],"also":[198],"verified":[199],"noisy":[201],"blurred":[203]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4366438791","counts_by_year":[{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":1}],"updated_date":"2025-01-03T05:46:49.759588","created_date":"2023-04-21"}