{"id":"https://openalex.org/W4404294477","doi":"https://doi.org/10.1109/m2vip62491.2024.10746065","title":"An Enhanced Facial Expression Recognition Method Based on Multi-task Learning","display_name":"An Enhanced Facial Expression Recognition Method Based on Multi-task Learning","publication_year":2024,"publication_date":"2024-10-03","ids":{"openalex":"https://openalex.org/W4404294477","doi":"https://doi.org/10.1109/m2vip62491.2024.10746065"},"language":"en","primary_location":{"id":"doi:10.1109/m2vip62491.2024.10746065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/m2vip62491.2024.10746065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 30th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","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/A5089099332","display_name":"Huanpeng Ye","orcid":"https://orcid.org/0000-0002-9777-9502"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huanpeng Ye","raw_affiliation_strings":["Shenyang Aircraft Design and Research Institute,Department of Integrated Avionics,Shenyang,China"],"affiliations":[{"raw_affiliation_string":"Shenyang Aircraft Design and Research Institute,Department of Integrated Avionics,Shenyang,China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102710129","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0003-0860-9198"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen,School of Mechanical Engineering and Automation,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen,School of Mechanical Engineering and Automation,Shenzhen,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084552336","display_name":"Shaoqing Zhang","orcid":"https://orcid.org/0000-0002-0148-9560"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoqing Zhang","raw_affiliation_strings":["Shenyang Aircraft Design and Research Institute,Shenyang,China"],"affiliations":[{"raw_affiliation_string":"Shenyang Aircraft Design and Research Institute,Shenyang,China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061873088","display_name":"Zhiyong Wang","orcid":"https://orcid.org/0000-0002-4665-4339"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Wang","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen,School of Mechanical Engineering and Automation,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen,School of Mechanical Engineering and Automation,Shenzhen,China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5089099332"],"corresponding_institution_ids":["https://openalex.org/I125904092"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34190318,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.6061999797821045,"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"}},"topics":[{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.6061999797821045,"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":0.7293678522109985},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.6834343075752258},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6666213870048523},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.607576310634613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5093191862106323},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.4511149227619171},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.42170602083206177},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4039066433906555},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3756673336029053},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3546508848667145},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.333446204662323},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3244897723197937},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1337476670742035}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7293678522109985},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.6834343075752258},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6666213870048523},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.607576310634613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5093191862106323},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.4511149227619171},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.42170602083206177},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4039066433906555},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3756673336029053},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3546508848667145},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.333446204662323},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3244897723197937},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1337476670742035},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/m2vip62491.2024.10746065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/m2vip62491.2024.10746065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 30th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336569","display_name":"Shenzhen Science and Technology Innovation Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2041616772","https://openalex.org/W2745497104","https://openalex.org/W2798506093","https://openalex.org/W3003720578","https://openalex.org/W3043496927","https://openalex.org/W3122081138","https://openalex.org/W3145166545","https://openalex.org/W3157999215","https://openalex.org/W3161346624","https://openalex.org/W3163086403","https://openalex.org/W3164715703","https://openalex.org/W3175546442","https://openalex.org/W3179103990","https://openalex.org/W3212708089","https://openalex.org/W4214934944","https://openalex.org/W4360602654","https://openalex.org/W4376278471","https://openalex.org/W4383907652","https://openalex.org/W4388952989","https://openalex.org/W4389474546","https://openalex.org/W4394994384","https://openalex.org/W4402917254","https://openalex.org/W4404056942","https://openalex.org/W6795641562"],"related_works":["https://openalex.org/W2642127892","https://openalex.org/W4205986151","https://openalex.org/W2355913164","https://openalex.org/W2162992774","https://openalex.org/W1153638794","https://openalex.org/W2168968280","https://openalex.org/W2901126000","https://openalex.org/W4323520705","https://openalex.org/W2116055069","https://openalex.org/W2356663679"],"abstract_inverted_index":{"Facial":[0],"expression":[1,58,145],"recognition":[2,48,59,146],"remains":[3],"a":[4,55],"prominent":[5],"research":[6],"area":[7],"in":[8,17,32,42,118],"computer":[9],"vision,":[10],"particularly":[11],"due":[12],"to":[13,82,114],"its":[14],"significant":[15],"contributions":[16],"the":[18,25,84,91,99,111,140,143],"field":[19],"of":[20,27,78,93,101,142],"human":[21],"emotion":[22],"analysis.":[23],"However,":[24],"effectiveness":[26,141],"current":[28],"deep":[29],"learning":[30],"approaches":[31],"representing":[33],"facial":[34,57,119],"expressions":[35],"faces":[36],"considerable":[37],"hurdles":[38],"stemming":[39],"from":[40],"ambiguities":[41,89],"dataset":[43],"annotations,":[44],"which":[45],"notably":[46],"impact":[47],"accuracy.":[49],"In":[50],"response,":[51],"this":[52],"paper":[53],"introduces":[54],"multi-task":[56],"network":[60],"(MTFERN)":[61],"that":[62,133],"integrates":[63],"Adaptive":[64],"Feature":[65],"Fusion":[66],"Module":[67,74],"(AFFM)":[68],"and":[69,105,130],"Distribution":[70],"Consistent":[71],"Attention":[72],"Pooling":[73],"(DCAPM).":[75],"The":[76],"purpose":[77],"these":[79],"modules":[80],"is":[81],"tackle":[83],"difficulties":[85],"caused":[86],"by":[87],"annotation":[88],"through":[90],"inclusion":[92],"auxiliary":[94],"branches.":[95],"These":[96],"branches":[97],"analyze":[98],"distribution":[100],"labels":[102],"within":[103],"samples":[104],"compute":[106],"attention":[107],"weights":[108],"accordingly,":[109],"enhancing":[110],"network\u2019s":[112],"ability":[113],"discern":[115],"subtle":[116],"variations":[117],"expressions.":[120],"Experimental":[121],"evaluations":[122],"conducted":[123],"on":[124],"benchmark":[125],"datasets":[126],"such":[127],"as":[128],"FER2013":[129],"AffectNet":[131],"show":[132],"our":[134],"approach":[135],"achieves":[136],"state-of-the-art":[137],"performance,":[138],"demonstrating":[139],"proposed":[144],"algorithm.":[147]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
