{"id":"https://openalex.org/W4205140805","doi":"https://doi.org/10.1109/m2vip49856.2021.9665112","title":"Self-Cure Network with Two-Stage Method for Facial Expression Recognition","display_name":"Self-Cure Network with Two-Stage Method for Facial Expression Recognition","publication_year":2021,"publication_date":"2021-11-26","ids":{"openalex":"https://openalex.org/W4205140805","doi":"https://doi.org/10.1109/m2vip49856.2021.9665112"},"language":"en","primary_location":{"id":"doi:10.1109/m2vip49856.2021.9665112","is_oa":false,"landing_page_url":"https://doi.org/10.1109/m2vip49856.2021.9665112","pdf_url":null,"source":{"id":"https://openalex.org/S4363608277","display_name":"2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 27th 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/A5100405140","display_name":"Yifan Chen","orcid":"https://orcid.org/0000-0002-4322-9142"},"institutions":[{"id":"https://openalex.org/I116036724","display_name":"Shenyang Ligong University","ror":"https://ror.org/03m20nr07","country_code":"CN","type":"education","lineage":["https://openalex.org/I116036724"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifan Chen","raw_affiliation_strings":["University of Shenyang Ligong"],"affiliations":[{"raw_affiliation_string":"University of Shenyang Ligong","institution_ids":["https://openalex.org/I116036724"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006279672","display_name":"Dongsheng Wu","orcid":"https://orcid.org/0000-0001-5256-8800"},"institutions":[{"id":"https://openalex.org/I116036724","display_name":"Shenyang Ligong University","ror":"https://ror.org/03m20nr07","country_code":"CN","type":"education","lineage":["https://openalex.org/I116036724"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongsheng Wu","raw_affiliation_strings":["University of Shenyang Ligong"],"affiliations":[{"raw_affiliation_string":"University of Shenyang Ligong","institution_ids":["https://openalex.org/I116036724"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001205723","display_name":"Jiahui Yu","orcid":"https://orcid.org/0000-0003-1314-2481"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jiahui Yu","raw_affiliation_strings":["School of Computing, University of Portsmouth, Portsmouth, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of Portsmouth, Portsmouth, UK","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056287221","display_name":"Zhaojie Ju","orcid":"https://orcid.org/0000-0002-9524-7609"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhaojie Ju","raw_affiliation_strings":["School of Computing, University of Portsmouth, Portsmouth, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of Portsmouth, Portsmouth, UK","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006400453","display_name":"Qing Yang","orcid":"https://orcid.org/0000-0003-2744-9556"},"institutions":[{"id":"https://openalex.org/I116036724","display_name":"Shenyang Ligong University","ror":"https://ror.org/03m20nr07","country_code":"CN","type":"education","lineage":["https://openalex.org/I116036724"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Yang","raw_affiliation_strings":["University of Shenyang Ligong"],"affiliations":[{"raw_affiliation_string":"University of Shenyang Ligong","institution_ids":["https://openalex.org/I116036724"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100405140"],"corresponding_institution_ids":["https://openalex.org/I116036724"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20539419,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"163","last_page":"168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9986000061035156,"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":0.9930999875068665,"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":0.7901266813278198},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7342347502708435},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.7163556218147278},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5949976444244385},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5909193754196167},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5850298404693604},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5325450301170349},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5295145511627197},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.5171307921409607},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42702147364616394},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.40164703130722046},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34613972902297974},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09651696681976318}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7901266813278198},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7342347502708435},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.7163556218147278},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5949976444244385},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5909193754196167},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5850298404693604},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5325450301170349},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5295145511627197},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.5171307921409607},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42702147364616394},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.40164703130722046},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34613972902297974},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09651696681976318},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/m2vip49856.2021.9665112","is_oa":false,"landing_page_url":"https://doi.org/10.1109/m2vip49856.2021.9665112","pdf_url":null,"source":{"id":"https://openalex.org/S4363608277","display_name":"2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320330944","display_name":"Nature","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1974210421","https://openalex.org/W1979377847","https://openalex.org/W2035372623","https://openalex.org/W2054493438","https://openalex.org/W2076807218","https://openalex.org/W2100307458","https://openalex.org/W2103943262","https://openalex.org/W2106390385","https://openalex.org/W2134860945","https://openalex.org/W2147318340","https://openalex.org/W2161634108","https://openalex.org/W2217426128","https://openalex.org/W2490049321","https://openalex.org/W2566855717","https://openalex.org/W2577784528","https://openalex.org/W2585226541","https://openalex.org/W2592335154","https://openalex.org/W2730601341","https://openalex.org/W2738672149","https://openalex.org/W2745497104","https://openalex.org/W2802198257","https://openalex.org/W2808535973","https://openalex.org/W2884048435","https://openalex.org/W2889978276","https://openalex.org/W2894217452","https://openalex.org/W2894837309","https://openalex.org/W2896277673","https://openalex.org/W2904483377","https://openalex.org/W2963112684","https://openalex.org/W2963623198","https://openalex.org/W2963712289","https://openalex.org/W3019325883","https://openalex.org/W3019410392","https://openalex.org/W3034504038","https://openalex.org/W3035336958","https://openalex.org/W3122081138","https://openalex.org/W6752180941","https://openalex.org/W6755106128","https://openalex.org/W6755364507"],"related_works":["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","https://openalex.org/W3027190010"],"abstract_inverted_index":{"It":[0],"is":[1,68],"very":[2],"difficult":[3],"to":[4,10,39,80,85,96],"annotate":[5],"large-scale":[6],"facial":[7,26,35],"expressions":[8],"due":[9,38],"the":[11,16,19,22,25,73,82,98,115],"inconsistent":[12,104],"labels":[13,99],"caused":[14],"by":[15],"subjectivity":[17],"of":[18,24,72,100,109,117],"annotators":[20],"and":[21],"ambiguity":[23],"expressions.":[27],"Moreover,":[28],"current":[29],"studies":[30],"present":[31],"limitation":[32],"when":[33],"addressing":[34],"expression":[36],"different":[37],"gender":[40],"gap.":[41],"Therefore,":[42],"this":[43],"artical":[44],"proposes":[45],"a":[46,64,77,90],"self-cure":[47],"network":[48],"with":[49,89],"two-stage":[50,65],"method(SCN-TSM)":[51],"which":[52],"prevents":[53],"deep":[54],"networks":[55],"from":[56],"over-fitting":[57],"ambiguous":[58],"images.":[59],"First,":[60],"base":[61],"on":[62,111],"SCN-TSM,":[63],"training":[66],"scheme":[67],"designed,taking":[69],"full":[70],"advantage":[71],"gendered":[74],"information.":[75],"Furthermore,":[76],"self-attention":[78],"mechanism":[79],"highlight":[81],"essential":[83],"images,and":[84],"weight":[86],"each":[87],"sample":[88],"weighting":[91],"regularization.":[92],"Finally,a":[93],"relabeling":[94],"module":[95],"modify":[97],"these":[101],"samples":[102],"in":[103],"labels.":[105],"A":[106],"large":[107],"number":[108],"experiments":[110],"public":[112],"datasets":[113],"validate":[114],"effectiveness":[116],"our":[118],"method.":[119]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}