{"id":"https://openalex.org/W4405633623","doi":"https://doi.org/10.1109/mlnlp63328.2024.10800127","title":"Face Mamba: A Facial Emotion Analysis Network Based on VMamba*","display_name":"Face Mamba: A Facial Emotion Analysis Network Based on VMamba*","publication_year":2024,"publication_date":"2024-10-18","ids":{"openalex":"https://openalex.org/W4405633623","doi":"https://doi.org/10.1109/mlnlp63328.2024.10800127"},"language":"en","primary_location":{"id":"doi:10.1109/mlnlp63328.2024.10800127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlnlp63328.2024.10800127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Machine Learning and Natural Language Processing (MLNLP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5114131186","display_name":"Longfei Li","orcid":"https://orcid.org/0009-0004-8406-1480"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longfei Li","raw_affiliation_strings":["Shandong University of Science and Technology,TaiAn,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology,TaiAn,China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081404317","display_name":"Qihang Sun","orcid":"https://orcid.org/0000-0001-7711-9374"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qihang Sun","raw_affiliation_strings":["Shandong University of Science and Technology,TaiAn,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology,TaiAn,China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103171149","display_name":"Lingyun Zhao","orcid":"https://orcid.org/0000-0003-3589-7201"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingyun Zhao","raw_affiliation_strings":["Shandong University of Science and Technology,TaiAn,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology,TaiAn,China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100559272","display_name":"Huifang Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huifang Sun","raw_affiliation_strings":["Shandong University of Science and Technology,TaiAn,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology,TaiAn,China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089868188","display_name":"Fangzheng Zhao","orcid":"https://orcid.org/0000-0002-3575-9039"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangzheng Zhao","raw_affiliation_strings":["Shandong University of Science and Technology,TaiAn,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology,TaiAn,China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037310126","display_name":"Bing Gu","orcid":"https://orcid.org/0009-0005-8967-2026"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Gu","raw_affiliation_strings":["Shandong University of Science and Technology,TaiAn,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology,TaiAn,China","institution_ids":["https://openalex.org/I80143920"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I80143920"],"apc_list":null,"apc_paid":null,"fwci":0.7895,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79274059,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"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/T11448","display_name":"Face recognition and analysis","score":0.9948999881744385,"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/T11448","display_name":"Face recognition and analysis","score":0.9948999881744385,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9027000069618225,"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":0.6086701154708862},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5263270735740662},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.4358304738998413},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3492327034473419},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30825328826904297}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6086701154708862},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5263270735740662},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.4358304738998413},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3492327034473419},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30825328826904297},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlnlp63328.2024.10800127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlnlp63328.2024.10800127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Machine Learning and Natural Language Processing (MLNLP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2738672149","https://openalex.org/W2745497104","https://openalex.org/W3034504038","https://openalex.org/W3035336958","https://openalex.org/W3118530108","https://openalex.org/W3145166545","https://openalex.org/W3172509117","https://openalex.org/W3173787706","https://openalex.org/W3175546442","https://openalex.org/W3195286673","https://openalex.org/W4313007769","https://openalex.org/W4403727496","https://openalex.org/W6788135285","https://openalex.org/W6796931752","https://openalex.org/W6802912272","https://openalex.org/W6839235732","https://openalex.org/W6840841916","https://openalex.org/W6859298233","https://openalex.org/W6861342692","https://openalex.org/W6861387779","https://openalex.org/W6863218821","https://openalex.org/W6864202710"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0,33,63,144],"recent":[1],"years,":[2],"convolutional":[3,34],"neural":[4,35],"networks":[5,36],"and":[6,8,15,55,78,125,191,197],"Transformer":[7,14],"its":[9,65],"variants,":[10],"such":[11,71],"as":[12,38,72],"Vision":[13],"Swin":[16],"Transformer,":[17,64],"have":[18,30,173],"been":[19],"the":[20,73,79,87,114,121,133,148,157,164,176,194],"main":[21],"models":[22],"for":[23],"facial":[24,98,151,182],"expression":[25,183],"recognition":[26,184],"tasks.":[27],"However,":[28],"both":[29],"corresponding":[31],"problems.":[32],"(such":[37],"CNN),":[39],"CNN":[40],"mainly":[41],"focuses":[42],"on":[43,103,193],"local":[44],"features":[45,162],"in":[46,132,141,150,181],"image":[47],"processing,":[48],"has":[49,178],"poor":[50],"grasp":[51],"of":[52,76,82,171,188],"global":[53],"information,":[54],"is":[56,67],"difficult":[57],"to":[58,91,117,146,160],"handle":[59],"large":[60,74,169],"data":[61],"sets.":[62],"performance":[66,140,149,180],"limited":[68],"by":[69,86,119],"factors":[70],"number":[75,170],"parameters":[77],"high":[80],"complexity":[81,116],"attention":[83],"calculation.":[84],"Inspired":[85],"Mamba":[88],"model's":[89],"ability":[90],"model":[92,177],"long":[93],"sequences,":[94],"we":[95,154],"propose":[96,156],"a":[97],"emotion":[99,152],"analysis":[100],"network":[101,110],"based":[102],"VMamba":[104,134],"(visual":[105],"state":[106],"space":[107],"model).":[108],"This":[109],"not":[111],"only":[112],"reduces":[113],"computational":[115],"linear":[118],"using":[120],"selective":[122],"SSM":[123],"module":[124,159],"Cross-Scan":[126],"Module":[127],"(CSM)":[128],"feature":[129,142],"scanning":[130],"mechanism":[131],"model,":[135],"but":[136],"also":[137,155],"shows":[138],"good":[139,179],"extraction.":[143],"order":[145],"enhance":[147],"analysis,":[153],"FaceR":[158],"extract":[161],"from":[163],"input":[165],"face":[166],"image.":[167],"A":[168],"experiments":[172],"proved":[174],"that":[175],"tasks,":[185],"with":[186],"accuracies":[187],"66.57%,":[189],"62.65%":[190],"90.58%":[192],"AffectNet-7,":[195],"AffectNet-8":[196],"RAF-DB":[198],"datasets":[199],"respectively.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
