{"id":"https://openalex.org/W4387969409","doi":"https://doi.org/10.1145/3581783.3612864","title":"Semi-Supervised Multimodal Emotion Recognition with Class-Balanced Pseudo-labeling","display_name":"Semi-Supervised Multimodal Emotion Recognition with Class-Balanced Pseudo-labeling","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387969409","doi":"https://doi.org/10.1145/3581783.3612864"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3612864","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612864","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612864","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612864","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100456775","display_name":"Haifeng Chen","orcid":"https://orcid.org/0000-0001-7164-5840"},"institutions":[{"id":"https://openalex.org/I51622183","display_name":"Shaanxi University of Science and Technology","ror":"https://ror.org/034t3zs45","country_code":"CN","type":"education","lineage":["https://openalex.org/I51622183"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haifeng Chen","raw_affiliation_strings":["Shaanxi University of Science and Technology, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi University of Science and Technology, Xi'an, China","institution_ids":["https://openalex.org/I51622183"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004674340","display_name":"Chujia Guo","orcid":"https://orcid.org/0000-0001-5464-0765"},"institutions":[{"id":"https://openalex.org/I51622183","display_name":"Shaanxi University of Science and Technology","ror":"https://ror.org/034t3zs45","country_code":"CN","type":"education","lineage":["https://openalex.org/I51622183"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chujia Guo","raw_affiliation_strings":["Shaanxi University of Science and Technology, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi University of Science and Technology, Xi'an, China","institution_ids":["https://openalex.org/I51622183"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054345670","display_name":"Yan Li","orcid":"https://orcid.org/0000-0002-5790-708X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Li","raw_affiliation_strings":["Northwestern Polytechnical University &amp; Peng Cheng Laboratory, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University &amp; Peng Cheng Laboratory, Xi'an, China","institution_ids":["https://openalex.org/I17145004","https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364068","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0001-9690-7026"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["Northwestern Polytechnical University &amp; Ningbo Institute of Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University &amp; Ningbo Institute of Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102021514","display_name":"Dongmei Jiang","orcid":"https://orcid.org/0000-0002-6238-8499"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongmei Jiang","raw_affiliation_strings":["Peng Cheng Laboratory &amp; Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory &amp; Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004","https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100456775"],"corresponding_institution_ids":["https://openalex.org/I51622183"],"apc_list":null,"apc_paid":null,"fwci":1.5364,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.83517066,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"9556","last_page":"9560"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9922000169754028,"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":0.7390615940093994},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.6805025935173035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6477673053741455},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6176903247833252},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5285415053367615},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5122036337852478},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46489042043685913},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4293050765991211},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.42092615365982056},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35223203897476196}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7390615940093994},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.6805025935173035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6477673053741455},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6176903247833252},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5285415053367615},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5122036337852478},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46489042043685913},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4293050765991211},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.42092615365982056},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35223203897476196},{"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:10.1145/3581783.3612864","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612864","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612864","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3581783.3612864","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612864","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612864","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320332587","display_name":"Natural Science Foundation of Ningbo","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336350","display_name":"Key Research and Development Projects of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387969409.pdf","grobid_xml":"https://content.openalex.org/works/W4387969409.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W2018727909","https://openalex.org/W2807126412","https://openalex.org/W2883409523","https://openalex.org/W3034849760","https://openalex.org/W3100219394","https://openalex.org/W3120680448","https://openalex.org/W3127765543","https://openalex.org/W3160525311","https://openalex.org/W3160733670","https://openalex.org/W3162024001","https://openalex.org/W3162040864","https://openalex.org/W3169801598","https://openalex.org/W3174697615","https://openalex.org/W3205500251","https://openalex.org/W3209059054","https://openalex.org/W3210714637","https://openalex.org/W4200050534","https://openalex.org/W4205781455","https://openalex.org/W4210611093","https://openalex.org/W4210782598","https://openalex.org/W4312436424","https://openalex.org/W4317033482","https://openalex.org/W4317754421","https://openalex.org/W4318035685","https://openalex.org/W4376455521","https://openalex.org/W4382930509","https://openalex.org/W6649806852"],"related_works":["https://openalex.org/W2368454205","https://openalex.org/W2536562190","https://openalex.org/W3126677997","https://openalex.org/W2786391746","https://openalex.org/W3132346564","https://openalex.org/W2991483587","https://openalex.org/W2914559142","https://openalex.org/W4226059458","https://openalex.org/W4381430104","https://openalex.org/W2995102745"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"our":[3],"solution":[4],"for":[5],"the":[6,14,24,45,53,79,100,106,151,156,163],"Semi-Supervised":[7,26],"Multimodal":[8],"Emotion":[9],"Recognition":[10],"Challenge":[11],"(MER2023-SEMI),":[12],"addressing":[13],"issue":[15,54],"of":[16,48,55,60],"limited":[17],"annotated":[18],"data":[19,49,56],"in":[20,33,63,83],"emotion":[21,37,64,84,95],"recognition.":[22,38,65],"Recently,":[23],"self-training-based":[25],"Learning~(SSL)":[27],"method":[28,97,144],"has":[29],"demonstrated":[30],"its":[31],"effectiveness":[32],"various":[34],"tasks,":[35],"including":[36],"However,":[39],"previous":[40,67],"studies":[41],"focused":[42,71],"on":[43,72,124,150,162],"reducing":[44],"confirmation":[46,121],"bias":[47],"without":[50],"adequately":[51],"considering":[52],"imbalance,":[57],"which":[58],"is":[59,145],"great":[61],"importance":[62],"Additionally,":[66],"methods":[68],"have":[69,76,117],"primarily":[70],"unimodal":[73,113],"tasks":[74],"and":[75,114],"not":[77],"considered":[78],"inherent":[80],"multimodal":[81,94,115],"information":[82],"recognition":[85,96],"tasks.":[86],"We":[87,103],"propose":[88],"a":[89,118,130],"simple":[90],"yet":[91],"effective":[92,149],"semi-supervised":[93],"to":[98,133,147],"address":[99],"above":[101],"issues.":[102],"assume":[104],"that":[105],"pseudo-labeled":[107,137],"samples":[108,138],"with":[109,155],"consistent":[110],"results":[111],"across":[112],"classifiers":[116],"more":[119],"negligible":[120],"bias.":[122],"Based":[123],"this":[125],"assumption,":[126],"we":[127],"suggest":[128],"using":[129],"class-balanced":[131],"strategy":[132],"select":[134],"top-k":[135],"high-confidence":[136],"from":[139],"each":[140],"class.":[141],"The":[142],"proposed":[143],"validated":[146],"be":[148],"MER2023-SEMI":[152],"Grand":[153],"Challenge,":[154],"weighted":[157],"F1":[158],"score":[159],"reaching":[160],"88.53%":[161],"test":[164],"set.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
