{"id":"https://openalex.org/W4401809770","doi":"https://doi.org/10.3390/s24165391","title":"TriCAFFNet: A Tri-Cross-Attention Transformer with a Multi-Feature Fusion Network for Facial Expression Recognition","display_name":"TriCAFFNet: A Tri-Cross-Attention Transformer with a Multi-Feature Fusion Network for Facial Expression Recognition","publication_year":2024,"publication_date":"2024-08-21","ids":{"openalex":"https://openalex.org/W4401809770","doi":"https://doi.org/10.3390/s24165391","pmid":"https://pubmed.ncbi.nlm.nih.gov/39205085"},"language":"en","primary_location":{"id":"doi:10.3390/s24165391","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24165391","pdf_url":"https://www.mdpi.com/1424-8220/24/16/5391/pdf?version=1724225071","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/16/5391/pdf?version=1724225071","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100716460","display_name":"Yuan Tian","orcid":"https://orcid.org/0000-0002-9097-4639"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Tian","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, China"],"raw_orcid":"https://orcid.org/0000-0002-9097-4639","affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100434557","display_name":"Zhao Wang","orcid":"https://orcid.org/0000-0003-0147-6054"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Wang","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111268744","display_name":"Di Chen","orcid":"https://orcid.org/0009-0000-3863-7566"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Chen","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, China"],"raw_orcid":"https://orcid.org/0009-0000-3863-7566","affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101407816","display_name":"Yao Huang","orcid":"https://orcid.org/0000-0001-6931-8963"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huang Yao","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, China","institution_ids":["https://openalex.org/I40963666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101407816"],"corresponding_institution_ids":["https://openalex.org/I40963666"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":3.092,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.91808796,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"24","issue":"16","first_page":"5391","last_page":"5391"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9983000159263611,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/local-binary-patterns","display_name":"Local binary patterns","score":0.6907579302787781},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6871738433837891},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6595867872238159},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6526737213134766},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6518677473068237},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5733368992805481},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.49938297271728516},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48519662022590637},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.4823719561100006},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.46124735474586487},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.44036680459976196},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.41810375452041626},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.3130921423435211},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1383669078350067},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08905518054962158}],"concepts":[{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.6907579302787781},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6871738433837891},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6595867872238159},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6526737213134766},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6518677473068237},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5733368992805481},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.49938297271728516},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48519662022590637},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.4823719561100006},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.46124735474586487},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.44036680459976196},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.41810375452041626},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.3130921423435211},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1383669078350067},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08905518054962158},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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}],"mesh":[{"descriptor_ui":"D000086762","descriptor_name":"Automated Facial Recognition","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000086762","descriptor_name":"Automated Facial Recognition","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000086762","descriptor_name":"Automated Facial Recognition","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000086762","descriptor_name":"Automated Facial Recognition","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D005149","descriptor_name":"Facial Expression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005149","descriptor_name":"Facial Expression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005149","descriptor_name":"Facial Expression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005149","descriptor_name":"Facial Expression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s24165391","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24165391","pdf_url":"https://www.mdpi.com/1424-8220/24/16/5391/pdf?version=1724225071","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:39205085","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39205085","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11360608","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11360608","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11360608/pdf/sensors-24-05391.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:98ee6347c8de4a44bb275b15d94d3fa1","is_oa":true,"landing_page_url":"https://doaj.org/article/98ee6347c8de4a44bb275b15d94d3fa1","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":"Sensors, Vol 24, Iss 16, p 5391 (2024)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/24/16/5391/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s24165391","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s24165391","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24165391","pdf_url":"https://www.mdpi.com/1424-8220/24/16/5391/pdf?version=1724225071","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8517714140","display_name":null,"funder_award_id":"BCA230278","funder_id":"https://openalex.org/F4320327557","funder_display_name":"National Office for Philosophy and Social Sciences"}],"funders":[{"id":"https://openalex.org/F4320327557","display_name":"National Office for Philosophy and Social Sciences","ror":"https://ror.org/04m0ms912"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401809770.pdf","grobid_xml":"https://content.openalex.org/works/W4401809770.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W2057747179","https://openalex.org/W2096044434","https://openalex.org/W2096171208","https://openalex.org/W2103943262","https://openalex.org/W2145310492","https://openalex.org/W2151103935","https://openalex.org/W2163352848","https://openalex.org/W2187089797","https://openalex.org/W2217426128","https://openalex.org/W2479639417","https://openalex.org/W2481681431","https://openalex.org/W2515770085","https://openalex.org/W2617750261","https://openalex.org/W2738672149","https://openalex.org/W2745497104","https://openalex.org/W2944523338","https://openalex.org/W2969985801","https://openalex.org/W3035336958","https://openalex.org/W3043496927","https://openalex.org/W3112113890","https://openalex.org/W3122081138","https://openalex.org/W3145166545","https://openalex.org/W3157429286","https://openalex.org/W3195286673","https://openalex.org/W3202414227","https://openalex.org/W3209798173","https://openalex.org/W4225847459","https://openalex.org/W4280583458","https://openalex.org/W4310225040","https://openalex.org/W4311414773","https://openalex.org/W4312465353","https://openalex.org/W4312823769","https://openalex.org/W4313016726","https://openalex.org/W4383824822","https://openalex.org/W4385815542","https://openalex.org/W4386091222","https://openalex.org/W4386232285","https://openalex.org/W4386275503","https://openalex.org/W4390190649","https://openalex.org/W4399805597","https://openalex.org/W6683411478"],"related_works":["https://openalex.org/W4224879220","https://openalex.org/W2046724945","https://openalex.org/W2999130902","https://openalex.org/W3211626993","https://openalex.org/W2507467930","https://openalex.org/W4281681299","https://openalex.org/W4205986151","https://openalex.org/W2904398182","https://openalex.org/W2355913164","https://openalex.org/W2347245106"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"significant":[3],"progress":[4],"has":[5],"been":[6],"made":[7],"in":[8,20],"facial":[9,17,41,70],"expression":[10,18,42],"recognition":[11,19,43],"methods.":[12],"However,":[13],"tasks":[14],"related":[15],"to":[16,39,80,84,95,108],"real":[21],"environments":[22],"still":[23],"require":[24],"further":[25],"research.":[26],"This":[27],"paper":[28],"proposes":[29],"a":[30,34,77],"tri-cross-attention":[31,91],"transformer":[32],"with":[33,76,129,134,140],"multi-feature":[35],"fusion":[36],"network":[37],"(TriCAFFNet)":[38],"improve":[40,81],"performance":[44,126],"under":[45],"challenging":[46],"conditions.":[47],"By":[48],"combining":[49],"LBP":[50],"(Local":[51],"Binary":[52],"Pattern)":[53],"features,":[54,60,62,101],"HOG":[55],"(Histogram":[56],"of":[57],"Oriented":[58],"Gradients)":[59],"landmark":[61],"and":[63,136],"CNN":[64],"(convolutional":[65],"neural":[66],"network)":[67],"features":[68,107],"from":[69],"images,":[71],"the":[72,124],"model":[73],"is":[74],"provided":[75],"rich":[78],"input":[79],"its":[82],"ability":[83],"discern":[85],"subtle":[86],"differences":[87],"between":[88,99],"images.":[89],"Additionally,":[90],"blocks":[92],"are":[93],"designed":[94],"facilitate":[96],"information":[97],"exchange":[98],"different":[100,106],"enabling":[102],"mutual":[103],"guidance":[104],"among":[105],"capture":[109],"salient":[110],"attention.":[111],"Extensive":[112],"experiments":[113],"on":[114,127],"several":[115],"widely":[116],"used":[117],"datasets":[118],"show":[119],"that":[120],"our":[121],"TriCAFFNet":[122],"achieves":[123],"SOTA":[125],"RAF-DB":[128],"92.17%,":[130],"AffectNet":[131,137],"(7":[132],"cls)":[133,139],"67.40%,":[135],"(8":[138],"63.49%,":[141],"respectively.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}