{"id":"https://openalex.org/W3114005958","doi":"https://doi.org/10.1109/tmm.2020.3047546","title":"Generalized Zero-Shot Learning Via Multi-Modal Aggregated Posterior Aligning Neural Network","display_name":"Generalized Zero-Shot Learning Via Multi-Modal Aggregated Posterior Aligning Neural Network","publication_year":2020,"publication_date":"2020-12-25","ids":{"openalex":"https://openalex.org/W3114005958","doi":"https://doi.org/10.1109/tmm.2020.3047546","mag":"3114005958"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2020.3047546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2020.3047546","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5004275338","display_name":"Xingyu Chen","orcid":"https://orcid.org/0000-0002-5226-963X"},"institutions":[{"id":"https://openalex.org/I4210105595","display_name":"Institute of Art","ror":"https://ror.org/017fyx225","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210105595","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN","PL"],"is_corresponding":true,"raw_author_name":"Xingyu Chen","raw_affiliation_strings":["College of Artificial Intelligence, Xi’an Jiaotong University, Institute of Artificial Intelligence and Robotics, Xi’an, China","College of Artificial Intelligence, Xi&#x2019","an Jiaotong University, Institute of Artificial Intelligence and Robotics, Xi&#x2019","an, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Xi’an Jiaotong University, Institute of Artificial Intelligence and Robotics, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"College of Artificial Intelligence, Xi&#x2019","institution_ids":[]},{"raw_affiliation_string":"an Jiaotong University, Institute of Artificial Intelligence and Robotics, Xi&#x2019","institution_ids":["https://openalex.org/I4210105595"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781249","display_name":"Jin Li","orcid":"https://orcid.org/0000-0002-0260-3169"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Li","raw_affiliation_strings":["Interactive Entertainment Group, Tencent Inc., Xi’an, China","Interactive Entertainment Group, Tencent Inc., Xi&#x2019","an, China"],"affiliations":[{"raw_affiliation_string":"Interactive Entertainment Group, Tencent Inc., Xi’an, China","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Interactive Entertainment Group, Tencent Inc., Xi&#x2019","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006277484","display_name":"Xuguang Lan","orcid":"https://orcid.org/0000-0002-3422-944X"},"institutions":[{"id":"https://openalex.org/I4210105595","display_name":"Institute of Art","ror":"https://ror.org/017fyx225","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210105595","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN","PL"],"is_corresponding":false,"raw_author_name":"Xuguang Lan","raw_affiliation_strings":["College of Artificial Intelligence, Xi’an Jiaotong University, Institute of Artificial Intelligence and Robotics, Xi’an, China","an, China","College of Artificial Intelligence, Xi&#x2019","an Jiaotong University, Institute of Artificial Intelligence and Robotics, Xi&#x2019"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Xi’an Jiaotong University, Institute of Artificial Intelligence and Robotics, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"an, China","institution_ids":[]},{"raw_affiliation_string":"College of Artificial Intelligence, Xi&#x2019","institution_ids":[]},{"raw_affiliation_string":"an Jiaotong University, Institute of Artificial Intelligence and Robotics, Xi&#x2019","institution_ids":["https://openalex.org/I4210105595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047405956","display_name":"Nanning Zheng","orcid":"https://orcid.org/0000-0003-1608-8257"},"institutions":[{"id":"https://openalex.org/I4210105595","display_name":"Institute of Art","ror":"https://ror.org/017fyx225","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210105595","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN","PL"],"is_corresponding":false,"raw_author_name":"Nanning Zheng","raw_affiliation_strings":["College of Artificial Intelligence, Xi’an Jiaotong University, Institute of Artificial Intelligence and Robotics, Xi’an, China","an, China","an Jiaotong University, Institute of Artificial Intelligence and Robotics, Xi&#x2019","College of Artificial Intelligence, Xi&#x2019"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Xi’an Jiaotong University, Institute of Artificial Intelligence and Robotics, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"an, China","institution_ids":[]},{"raw_affiliation_string":"an Jiaotong University, Institute of Artificial Intelligence and Robotics, Xi&#x2019","institution_ids":["https://openalex.org/I4210105595"]},{"raw_affiliation_string":"College of Artificial Intelligence, Xi&#x2019","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004275338"],"corresponding_institution_ids":["https://openalex.org/I4210105595","https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":1.6313,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.87670717,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"24","issue":null,"first_page":"177","last_page":"187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998999834060669,"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":0.9929999709129333,"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9218999743461609,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7794806957244873},{"id":"https://openalex.org/keywords/probabilistic-latent-semantic-analysis","display_name":"Probabilistic latent semantic analysis","score":0.7407390475273132},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6034935116767883},{"id":"https://openalex.org/keywords/visual-space","display_name":"Visual space","score":0.5287739038467407},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.47854313254356384},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4626159965991974},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.458980917930603},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4587417542934418},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.44506028294563293},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.43810075521469116},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.41352778673171997},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4103699326515198},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18881762027740479}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7794806957244873},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.7407390475273132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6034935116767883},{"id":"https://openalex.org/C207363949","wikidata":"https://www.wikidata.org/wiki/Q462915","display_name":"Visual space","level":3,"score":0.5287739038467407},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.47854313254356384},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4626159965991974},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.458980917930603},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4587417542934418},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.44506028294563293},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.43810075521469116},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.41352778673171997},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4103699326515198},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18881762027740479},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2020.3047546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2020.3047546","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G1224435917","display_name":null,"funder_award_id":"91 748 208","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3102188545","display_name":null,"funder_award_id":"61 973 246","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":47,"referenced_works":["https://openalex.org/W652269744","https://openalex.org/W1797268635","https://openalex.org/W2032699694","https://openalex.org/W2044913453","https://openalex.org/W2098411764","https://openalex.org/W2128532956","https://openalex.org/W2171061940","https://openalex.org/W2289084343","https://openalex.org/W2293561010","https://openalex.org/W2398118205","https://openalex.org/W2533598788","https://openalex.org/W2603705233","https://openalex.org/W2611632661","https://openalex.org/W2735810033","https://openalex.org/W2739770654","https://openalex.org/W2770178731","https://openalex.org/W2808717788","https://openalex.org/W2887567284","https://openalex.org/W2904849495","https://openalex.org/W2954721224","https://openalex.org/W2962824231","https://openalex.org/W2963283377","https://openalex.org/W2963330684","https://openalex.org/W2963452792","https://openalex.org/W2963499153","https://openalex.org/W2963538198","https://openalex.org/W2963545832","https://openalex.org/W2963955422","https://openalex.org/W2963960318","https://openalex.org/W2964086552","https://openalex.org/W2964162033","https://openalex.org/W2964248207","https://openalex.org/W2964275819","https://openalex.org/W4293568373","https://openalex.org/W4320013936","https://openalex.org/W6638319203","https://openalex.org/W6640963894","https://openalex.org/W6678360021","https://openalex.org/W6678470764","https://openalex.org/W6682691769","https://openalex.org/W6745535286","https://openalex.org/W6746274187","https://openalex.org/W6749074686","https://openalex.org/W6752513430","https://openalex.org/W6756972358","https://openalex.org/W6757140150","https://openalex.org/W6780248173"],"related_works":["https://openalex.org/W4389358162","https://openalex.org/W2111020819","https://openalex.org/W2377594161","https://openalex.org/W1837533151","https://openalex.org/W2296297476","https://openalex.org/W2329943782","https://openalex.org/W1578340400","https://openalex.org/W2365514879","https://openalex.org/W84513934","https://openalex.org/W3114005958"],"abstract_inverted_index":{"The":[0,27,94],"visual-semantic":[1],"gap":[2],"between":[3,155],"the":[4,17,21,34,101,106,127,132,139,152,161,164,177,194,211],"visual":[5,53,89,111,143],"space":[6,11,87],"(visual":[7],"features)":[8],"and":[9,55,91,145,157,200],"semantic":[10,56,92,129,146],"(semantic":[12],"attributes)":[13],"is":[14,32,42,99,116,170],"one":[15,136],"of":[16,29,36,105,113,142,167,213],"main":[18],"problems":[19],"in":[20,38,131,176],"Generalized":[22],"Zero-Shot":[23],"Learning":[24],"(GZSL)":[25],"task.":[26],"essence":[28],"this":[30,62,66],"problem":[31,67],"that":[33,51,100],"structure":[35],"manifolds":[37,141],"these":[39],"two":[40],"spaces":[41],"inconsistent,":[43],"which":[44,82,180],"makes":[45],"it":[46],"difficult":[47],"to":[48,96,118,148,185,209],"learn":[49],"embeddings":[50],"unify":[52],"features":[54,90,112,144,188],"attributes":[57,147],"for":[58,88,189],"similarity":[59],"measurement.":[60],"In":[61],"work,":[63],"we":[64,204],"tackle":[65],"by":[68,126],"proposing":[69],"a":[70,84,122,174,182],"multi-modal":[71],"aggregated":[72,102,165],"posterior":[73,103,166],"aligning":[74],"neural":[75],"network":[76],"based":[77],"on":[78],"Wasserstein":[79],"Auto-encoders":[80],"(WAE)":[81],"learns":[83],"shared":[85],"latent":[86,107,133,140,178,187],"attributes.":[93],"key":[95],"our":[97,214],"approach":[98],"distribution":[104,124],"representations":[108],"encoded":[109],"from":[110],"each":[114,168],"class":[115,169],"encouraged":[117],"be":[119,149],"aligned":[120],"with":[121],"Gaussian":[123,175],"predicted":[125],"corresponding":[128],"attribute":[130],"space.":[134],"On":[135,160],"hand,":[137,163],"requiring":[138],"consistent":[150],"preserves":[151],"inter-class":[153],"association":[154],"seen":[156],"unseen":[158],"classes.":[159],"other":[162],"directly":[171],"defined":[172],"as":[173],"space,":[179],"provides":[181],"reliable":[183],"way":[184],"synthesize":[186],"training":[190],"classification":[191],"models.":[192],"Using":[193],"AWA1,":[195],"AWA2,":[196],"CUB,":[197],"aPY,":[198],"FLO,":[199],"SUN":[201],"benchmark":[202],"datasets,":[203],"extensively":[205],"conducted":[206],"comparative":[207],"evaluations":[208],"demonstrate":[210],"advantages":[212],"method":[215],"over":[216],"state-of-the-art":[217],"approaches.":[218]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}