{"id":"https://openalex.org/W3009319816","doi":"https://doi.org/10.1109/access.2020.2975913","title":"Weakly Supervised Local-Global Attention Network for Facial Expression Recognition","display_name":"Weakly Supervised Local-Global Attention Network for Facial Expression Recognition","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3009319816","doi":"https://doi.org/10.1109/access.2020.2975913","mag":"3009319816"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2975913","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2975913","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09007447.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09007447.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100399667","display_name":"Haifeng Zhang","orcid":"https://orcid.org/0000-0002-3812-1479"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Zhang","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-3812-1479","affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084471344","display_name":"Wen Su","orcid":"https://orcid.org/0000-0001-6787-4384"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Su","raw_affiliation_strings":["Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6787-4384","affiliations":[{"raw_affiliation_string":"Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103123751","display_name":"Zengfu Wang","orcid":"https://orcid.org/0000-0003-1859-900X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099079","display_name":"Institute of Intelligent Machines","ror":"https://ror.org/00w0qep84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210099079"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengfu Wang","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China, Hefei, China","Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210099079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.5002,"has_fulltext":true,"cited_by_count":35,"citation_normalized_percentile":{"value":0.89956228,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"37976","last_page":"37987"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9987999796867371,"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/T11448","display_name":"Face recognition and analysis","score":0.9954000115394592,"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":0.6710222959518433},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.5573510527610779},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.49165278673171997},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4767944812774658},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47562506794929504},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4377768039703369},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.4309671223163605},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4127000570297241}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6710222959518433},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.5573510527610779},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.49165278673171997},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4767944812774658},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47562506794929504},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4377768039703369},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.4309671223163605},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4127000570297241},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2975913","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2975913","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09007447.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:58e532d71db148a89534a5421a663dba","is_oa":true,"landing_page_url":"https://doaj.org/article/58e532d71db148a89534a5421a663dba","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 37976-37987 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2975913","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2975913","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09007447.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.75,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G3564919707","display_name":"\u8bed\u97f3\u53ca\u60c5\u611f\u8bed\u4e49\u540c\u6b65\u7684\u4e09\u7ef4\u4eba\u8138\u53ef\u89c6\u5316\uff1a\u4ece\u53d1\u58f0\u5668\u5b98\u5230\u5916\u89c2","funder_award_id":"61472393","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3009319816.pdf","grobid_xml":"https://content.openalex.org/works/W3009319816.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W178033993","https://openalex.org/W1834627138","https://openalex.org/W1964504906","https://openalex.org/W1965947362","https://openalex.org/W1974210421","https://openalex.org/W1981265375","https://openalex.org/W1993014362","https://openalex.org/W2014185685","https://openalex.org/W2024868105","https://openalex.org/W2035372623","https://openalex.org/W2041616772","https://openalex.org/W2065379720","https://openalex.org/W2096733369","https://openalex.org/W2103943262","https://openalex.org/W2125127226","https://openalex.org/W2134860945","https://openalex.org/W2138175967","https://openalex.org/W2144764737","https://openalex.org/W2153165457","https://openalex.org/W2156503193","https://openalex.org/W2157285372","https://openalex.org/W2198512331","https://openalex.org/W2217426128","https://openalex.org/W2295107390","https://openalex.org/W2460410810","https://openalex.org/W2520774990","https://openalex.org/W2600389231","https://openalex.org/W2604209953","https://openalex.org/W2730601341","https://openalex.org/W2731821979","https://openalex.org/W2737398044","https://openalex.org/W2737559518","https://openalex.org/W2738672149","https://openalex.org/W2744909235","https://openalex.org/W2798583514","https://openalex.org/W2799041689","https://openalex.org/W2805781993","https://openalex.org/W2890117792","https://openalex.org/W2894217452","https://openalex.org/W2903794034","https://openalex.org/W2922509574","https://openalex.org/W2963112684","https://openalex.org/W2963446712","https://openalex.org/W2963623198","https://openalex.org/W2963712289","https://openalex.org/W2995846001","https://openalex.org/W3099206234","https://openalex.org/W4285719527","https://openalex.org/W4403242122","https://openalex.org/W6607172224","https://openalex.org/W6687716273","https://openalex.org/W6726946684","https://openalex.org/W6735583111","https://openalex.org/W6750843368","https://openalex.org/W6755106128","https://openalex.org/W6756966509","https://openalex.org/W6771335037"],"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/W2116055069","https://openalex.org/W2901126000","https://openalex.org/W4323520705","https://openalex.org/W2356663679"],"abstract_inverted_index":{"Combining":[0],"global":[1,39,132,141,174],"and":[2,31,38,65,94,108,133,142,173,180,199],"local":[3,29,37,98,110,134,143,172],"features":[4,30,111,135,144,175],"is":[5,74,104,124,168],"an":[6,70],"essential":[7],"solution":[8],"to":[9,60,76,106,176],"improve":[10],"discriminative":[11],"performances":[12],"in":[13,215],"facial":[14,190,196,202,216],"expression":[15,191,197,203,217],"recognition":[16],"tasks.":[17],"The":[18],"limitations":[19],"of":[20,36,80,91,131,157],"existing":[21],"methods":[22,152],"are":[23],"that":[24,206],"they":[25],"cannot":[26],"extract":[27],"crucial":[28],"ignore":[32],"the":[33,57,88,97],"complementary":[34,163],"effects":[35],"features.":[40],"To":[41],"address":[42],"these":[43],"problems,":[44],"this":[45],"paper":[46],"proposes":[47],"a":[48,78,117],"Weakly":[49],"Supervised":[50],"Local-Global":[51],"Attention":[52,71],"Network":[53],"(WS-LGAN),":[54],"which":[55,211],"uses":[56],"attention":[58,81,89,102,114],"mechanism":[59,90],"deal":[61],"with":[62,151],"part":[63],"location":[64],"feature":[66],"fusion":[67,130],"problems.":[68],"Firstly,":[69],"Map":[72],"Generator":[73],"designed":[75],"get":[77],"set":[79],"maps":[82],"under":[83,183],"weak":[84],"supervision.":[85],"It":[86,126],"mimics":[87],"human":[92],"brain":[93],"quickly":[95],"finds":[96],"regions-of-interest.":[99],"Secondly,":[100],"bilinear":[101],"pooling":[103],"employed":[105],"generate":[107],"refine":[109],"based":[112],"on":[113,154,187],"maps.":[115],"Thirdly,":[116],"building":[118],"block":[119],"called":[120],"Selective":[121],"Feature":[122],"Unit":[123],"designed.":[125],"allows":[127],"adaptive":[128],"weighted":[129],"before":[136],"making":[137],"classification.":[138],"In":[139],"WS-LGAN,":[140],"represent":[145],"expressions":[146],"from":[147,161],"different":[148,184],"aspects.":[149],"Compared":[150],"relying":[153],"single":[155],"type":[156],"feature,":[158],"it":[159],"benefits":[160],"local-global":[162],"advantages.":[164],"Additionally,":[165],"contrastive":[166],"loss":[167],"introduced":[169],"for":[170],"both":[171],"increase":[177],"inter-class":[178],"dispersion":[179],"intra-class":[181],"compactness":[182],"granularities.":[185],"Experiments":[186],"three":[188],"popular":[189],"datasets,":[192],"including":[193],"two":[194],"lab-controlled":[195],"datasets":[198],"one":[200],"real-world":[201],"dataset":[204],"show":[205],"WS-LGAN":[207],"achieves":[208],"state-of-the-art":[209],"performance,":[210],"demonstrates":[212],"our":[213],"superiority":[214],"recognition.":[218]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}