{"id":"https://openalex.org/W4392903647","doi":"https://doi.org/10.1109/taffc.2024.3378570","title":"Contrastive Learning Based Modality-Invariant Feature Acquisition for Robust Multimodal Emotion Recognition With Missing Modalities","display_name":"Contrastive Learning Based Modality-Invariant Feature Acquisition for Robust Multimodal Emotion Recognition With Missing Modalities","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392903647","doi":"https://doi.org/10.1109/taffc.2024.3378570"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2024.3378570","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2024.3378570","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-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/A5082746577","display_name":"Rui Liu","orcid":"https://orcid.org/0000-0003-4524-7413"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rui Liu","raw_affiliation_strings":["Department of Computer Science, Inner Mongolia University, Hohhot, China"],"raw_orcid":"https://orcid.org/0000-0003-4524-7413","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Inner Mongolia University, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008862741","display_name":"Haolin Zuo","orcid":"https://orcid.org/0009-0000-1412-2883"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]},{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN","DE"],"is_corresponding":false,"raw_author_name":"Haolin Zuo","raw_affiliation_strings":["Department of Computer Science, Inner Mongolia University, Hohhot, China","University of Bremen, Faculty 3 Computer Science / Mathematics, Enrique-SchmidtStr. 5 Cartesium, Germany","School of Data Science, The Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0000-1412-2883","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Inner Mongolia University, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]},{"raw_affiliation_string":"University of Bremen, Faculty 3 Computer Science / Mathematics, Enrique-SchmidtStr. 5 Cartesium, Germany","institution_ids":["https://openalex.org/I180437899"]},{"raw_affiliation_string":"School of Data Science, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001973434","display_name":"Zheng Lian","orcid":"https://orcid.org/0000-0001-9477-0599"},"institutions":[{"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/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Lian","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Bejing, China","Institute of Automation, Chinese Academy of Sciences, Bejing, Bremen, China"],"raw_orcid":"https://orcid.org/0000-0001-9477-0599","affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Bejing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Bejing, Bremen, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043060302","display_name":"Bj\u00f6rn W. Schuller","orcid":"https://orcid.org/0000-0002-6478-8699"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bj\u00f6rn W. Schuller","raw_affiliation_strings":["GLAM&#x2013;the Group on Language, Audio, &#x0026; Music, Imperial College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-6478-8699","affiliations":[{"raw_affiliation_string":"GLAM&#x2013;the Group on Language, Audio, &#x0026; Music, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032690182","display_name":"Haizhou Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haizhou Li","raw_affiliation_strings":["Shenzhen Research Institute of Big Data, School of Data Science, The Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-9158-9401","affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data, School of Data Science, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924","https://openalex.org/I4210099586"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5082746577"],"corresponding_institution_ids":["https://openalex.org/I2722730"],"apc_list":null,"apc_paid":null,"fwci":33.6825,"has_fulltext":false,"cited_by_count":73,"citation_normalized_percentile":{"value":0.99887831,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"15","issue":"4","first_page":"1856","last_page":"1873"},"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":0.9986000061035156,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.972100019454956,"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/modalities","display_name":"Modalities","score":0.8413056135177612},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.7534974813461304},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6350343227386475},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.618141770362854},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5330895781517029},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4761119782924652},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.46388015151023865},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4375021755695343},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.4273059368133545},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.425650954246521},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4218302071094513},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4126267731189728},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3669055700302124},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35617196559906006},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35252758860588074},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32597488164901733},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.13201773166656494},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10129210352897644}],"concepts":[{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.8413056135177612},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.7534974813461304},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6350343227386475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.618141770362854},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5330895781517029},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4761119782924652},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.46388015151023865},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4375021755695343},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.4273059368133545},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.425650954246521},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4218302071094513},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4126267731189728},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3669055700302124},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35617196559906006},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35252758860588074},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32597488164901733},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.13201773166656494},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10129210352897644},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/taffc.2024.3378570","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2024.3378570","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-article"},{"id":"pmh:oai:mediatum.ub.tum.de:node/1773112","is_oa":false,"landing_page_url":"https://mediatum.ub.tum.de/1773112","pdf_url":null,"source":{"id":"https://openalex.org/S4377196330","display_name":"mediaTUM  (Technical University of Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G600008135","display_name":null,"funder_award_id":"62206136","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8569810394","display_name":null,"funder_award_id":"62201572","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":94,"referenced_works":["https://openalex.org/W1499864241","https://openalex.org/W1595126664","https://openalex.org/W1832693441","https://openalex.org/W2025768430","https://openalex.org/W2078019730","https://openalex.org/W2085662862","https://openalex.org/W2095176743","https://openalex.org/W2110798204","https://openalex.org/W2146334809","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2342475039","https://openalex.org/W2480295938","https://openalex.org/W2556418146","https://openalex.org/W2740550900","https://openalex.org/W2741295496","https://openalex.org/W2787894218","https://openalex.org/W2809410879","https://openalex.org/W2887761937","https://openalex.org/W2906715444","https://openalex.org/W2936134684","https://openalex.org/W2962931510","https://openalex.org/W2963063161","https://openalex.org/W2963341956","https://openalex.org/W2963446712","https://openalex.org/W2965373594","https://openalex.org/W2965487497","https://openalex.org/W2972463723","https://openalex.org/W2973049979","https://openalex.org/W2997290266","https://openalex.org/W3002709689","https://openalex.org/W3034641760","https://openalex.org/W3035524453","https://openalex.org/W3042831859","https://openalex.org/W3083650259","https://openalex.org/W3093051361","https://openalex.org/W3093274101","https://openalex.org/W3093400813","https://openalex.org/W3098802639","https://openalex.org/W3100993965","https://openalex.org/W3102889207","https://openalex.org/W3108792608","https://openalex.org/W3114214226","https://openalex.org/W3148757058","https://openalex.org/W3156636935","https://openalex.org/W3168363436","https://openalex.org/W3171153522","https://openalex.org/W3171345413","https://openalex.org/W3173480723","https://openalex.org/W3174977508","https://openalex.org/W3175825020","https://openalex.org/W3176780013","https://openalex.org/W3177085913","https://openalex.org/W3177224328","https://openalex.org/W3198791321","https://openalex.org/W3206201541","https://openalex.org/W3206660842","https://openalex.org/W3213870678","https://openalex.org/W4205087900","https://openalex.org/W4224917001","https://openalex.org/W4225691633","https://openalex.org/W4238370725","https://openalex.org/W4283009359","https://openalex.org/W4283016277","https://openalex.org/W4292958273","https://openalex.org/W4293517975","https://openalex.org/W4308222497","https://openalex.org/W4312976151","https://openalex.org/W4313639237","https://openalex.org/W4372260527","https://openalex.org/W4376455521","https://openalex.org/W4385245566","https://openalex.org/W4385570923","https://openalex.org/W4385572401","https://openalex.org/W4386522987","https://openalex.org/W4386824973","https://openalex.org/W4387757537","https://openalex.org/W4388543952","https://openalex.org/W4389520544","https://openalex.org/W4390480998","https://openalex.org/W4393160807","https://openalex.org/W6629930100","https://openalex.org/W6631190155","https://openalex.org/W6757801140","https://openalex.org/W6766673545","https://openalex.org/W6773071120","https://openalex.org/W6791353385","https://openalex.org/W6793736971","https://openalex.org/W6797300678","https://openalex.org/W6810452849","https://openalex.org/W6841484515","https://openalex.org/W6846004768","https://openalex.org/W6849977901","https://openalex.org/W6856784852"],"related_works":["https://openalex.org/W73545470","https://openalex.org/W4224266612","https://openalex.org/W2383394264","https://openalex.org/W4320153225","https://openalex.org/W4293261942","https://openalex.org/W3125968744","https://openalex.org/W203959209","https://openalex.org/W2004831463","https://openalex.org/W2110287964","https://openalex.org/W2167701463"],"abstract_inverted_index":{"Multimodal":[0],"emotion":[1,139,168],"recognition":[2,77,169],"(MER)":[3],"aims":[4],"to":[5,24,61,64,107,124],"understand":[6],"the":[7,54,65,71,75,84,91],"way":[8],"that":[9,26,147],"humans":[10],"express":[11],"their":[12],"emotions":[13],"by":[14],"exploring":[15],"complementary":[16],"information":[17,127],"across":[18],"modalities.":[19,172],"However,":[20,53],"it":[21],"is":[22,29,58,163,175],"hard":[23],"guarantee":[25],"full-modality":[27],"data":[28],"always":[30],"available":[31,136],"in":[32],"real-world":[33],"scenarios.":[34],"To":[35,79],"deal":[36],"with":[37,156,170],"missing":[38,50,92,126,129,171],"modalities,":[39],"researchers":[40],"focused":[41],"on":[42,120,143,166],"meaningful":[43],"joint":[44],"multimodal":[45,167],"representation":[46],"learning":[47],"during":[48],"cross-modal":[49,55],"modality":[51,93],"imagination.":[52],"imagination":[56,72,94,117],"mechanism":[57],"highly":[59],"susceptible":[60],"errors":[62],"due":[63],"\u201cmodality":[66],"gap\u201d":[67],"issue,":[68],"which":[69,96],"affects":[70],"accuracy,":[73],"thus,":[74],"final":[76],"performance.":[78],"this":[80],"end,":[81],"we":[82,132],"introduce":[83],"concept":[85],"of":[86],"a":[87,102,115],"modality-invariant":[88,109],"feature":[89],"into":[90],"network,":[95],"contains":[97],"two":[98],"key":[99],"modules:":[100],"1)":[101],"novel":[103],"contrastive":[104],"learning-based":[105],"module":[106,118],"extract":[108],"features":[110,123],"under":[111,128],"full":[112],"modalities;":[113],"2)":[114],"robust":[116],"based":[119],"imagined":[121,134],"invariant":[122],"reconstruct":[125],"conditions.":[130],"Finally,":[131],"incorporate":[133],"and":[135],"modalities":[137],"for":[138],"recognition.":[140],"Experimental":[141],"results":[142],"benchmark":[144],"datasets":[145],"demonstrate":[146],"our":[148,157,160],"proposed":[149],"method":[150],"outperforms":[151],"existing":[152],"state-of-the-art":[153],"strategies.":[154],"Compared":[155],"previous":[158],"work,":[159],"extended":[161],"version":[162],"more":[164],"effective":[165],"The":[173],"code":[174],"released":[176],"at":[177],"<uri":[178],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[179],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/ZhuoYulang/CIF-MMIN</uri>":[180],".":[181]},"counts_by_year":[{"year":2026,"cited_by_count":18},{"year":2025,"cited_by_count":46},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}