{"id":"https://openalex.org/W4210734348","doi":"https://doi.org/10.1109/tmm.2022.3145237","title":"Learning MLatent Representations for Generalized Zero-Shot Learning","display_name":"Learning MLatent Representations for Generalized Zero-Shot Learning","publication_year":2022,"publication_date":"2022-01-27","ids":{"openalex":"https://openalex.org/W4210734348","doi":"https://doi.org/10.1109/tmm.2022.3145237"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2022.3145237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3145237","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/A5062262445","display_name":"Yalan Ye","orcid":"https://orcid.org/0000-0001-5974-1717"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yalan Ye","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-5974-1717","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086966054","display_name":"Tongjie Pan","orcid":"https://orcid.org/0000-0002-1538-5789"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongjie Pan","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-1538-5789","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004268171","display_name":"Tonghoujun Luo","orcid":"https://orcid.org/0000-0002-7726-4739"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tonghoujun Luo","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-7726-4739","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338386","display_name":"Jingjing Li","orcid":"https://orcid.org/0000-0002-5504-2529"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Li","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-5504-2529","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052993469","display_name":"Heng Tao Shen","orcid":"https://orcid.org/0000-0002-2999-2088"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Tao Shen","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-2999-2088","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5062262445"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":1.526,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.84929796,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"25","issue":null,"first_page":"2252","last_page":"2265"},"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":0.9990000128746033,"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":0.9990000128746033,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9883000254631042,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9739999771118164,"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":0.7874302268028259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6518071293830872},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6197879314422607},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.577056884765625},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5471169948577881},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4898068606853485},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.4869121313095093},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4813966751098633},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47850146889686584},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4707888960838318},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.4632927179336548},{"id":"https://openalex.org/keywords/probabilistic-latent-semantic-analysis","display_name":"Probabilistic latent semantic analysis","score":0.44029274582862854},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3661905527114868},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3635760545730591}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7874302268028259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6518071293830872},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6197879314422607},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.577056884765625},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5471169948577881},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4898068606853485},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.4869121313095093},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4813966751098633},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47850146889686584},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4707888960838318},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.4632927179336548},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.44029274582862854},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3661905527114868},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3635760545730591},{"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2022.3145237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3145237","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":[],"awards":[{"id":"https://openalex.org/G2788304203","display_name":null,"funder_award_id":"61976047","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7882534949","display_name":null,"funder_award_id":"ZYGX2021YGLH016","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W652269744","https://openalex.org/W1797268635","https://openalex.org/W1959608418","https://openalex.org/W2070148066","https://openalex.org/W2128532956","https://openalex.org/W2157133710","https://openalex.org/W2194775991","https://openalex.org/W2398118205","https://openalex.org/W2520774990","https://openalex.org/W2533598788","https://openalex.org/W2596142952","https://openalex.org/W2739748921","https://openalex.org/W2799215068","https://openalex.org/W2892806280","https://openalex.org/W2924476266","https://openalex.org/W2963073614","https://openalex.org/W2963283377","https://openalex.org/W2963960318","https://openalex.org/W2965069339","https://openalex.org/W2979571231","https://openalex.org/W2981407849","https://openalex.org/W2982234480","https://openalex.org/W2991813857","https://openalex.org/W2996232404","https://openalex.org/W2996940571","https://openalex.org/W3009441615","https://openalex.org/W3010805239","https://openalex.org/W3014225712","https://openalex.org/W3018638193","https://openalex.org/W3034494585","https://openalex.org/W3034730995","https://openalex.org/W3035297600","https://openalex.org/W3035415268","https://openalex.org/W3089741414","https://openalex.org/W3092738584","https://openalex.org/W3093192645","https://openalex.org/W3109728025","https://openalex.org/W3113432867","https://openalex.org/W3129157062","https://openalex.org/W3131415659","https://openalex.org/W3135777579","https://openalex.org/W3143107425","https://openalex.org/W3148177360","https://openalex.org/W3171926364","https://openalex.org/W3182605419","https://openalex.org/W3198731329","https://openalex.org/W3207613516","https://openalex.org/W4295521014","https://openalex.org/W6638319203","https://openalex.org/W6640963894","https://openalex.org/W6726946684","https://openalex.org/W6735913928","https://openalex.org/W6741832134","https://openalex.org/W6775120942"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W4238433571","https://openalex.org/W2967848559","https://openalex.org/W4299831724","https://openalex.org/W4283803360"],"abstract_inverted_index":{"In":[0,95],"generative":[1,62,102],"adversarial":[2],"network":[3],"(GAN)":[4],"based":[5],"zero-shot":[6],"learning":[7,105],"(ZSL)":[8],"approaches,":[9],"the":[10,22,33,50,55,66,70,73,85,90,113,117,132,135,138,145,153,157,175,187,198],"synthesized":[11],"unseen":[12],"visual":[13,36,59,93,118,155,162],"features":[14,37,119,163],"are":[15,141,178],"inevitably":[16],"prone":[17],"to":[18,83,111,130,151,181,184],"seen":[19,29],"classes":[20],"since":[21],"feature":[23],"generator":[24],"is":[25,46,168],"merely":[26],"trained":[27],"on":[28,192],"references,":[30],"which":[31,81],"causes":[32],"inconsistency":[34,45],"between":[35,148,160],"and":[38,54,88,120,164],"their":[39,121,165],"corresponding":[40],"semantic":[41,122],"attributes.":[42],"This":[43],"visual-semantic":[44],"primarily":[47],"induced":[48],"by":[49,68,143],"non-preserved":[51],"semantic-relevant":[52,133,188],"components":[53],"non-rectified":[56],"semantic-irrelevant":[57,154],"low-level":[58],"details.":[60],"Existing":[61],"models":[63],"generally":[64],"tackle":[65],"issue":[67],"aligning":[69],"distribution":[71],"of":[72,92,137,200],"two":[74,139],"modalities":[75,140,183],"with":[76],"an":[77,171],"additional":[78],"visual-to-semantic":[79],"embedding,":[80],"tends":[82],"cause":[84],"hubness":[86],"problem":[87,114],"ruin":[89],"diversity":[91],"modality.":[94],"this":[96],"paper,":[97],"we":[98],"propose":[99],"a":[100,125],"novel":[101],"model":[103],"named":[104],"modality-consistent":[106],"latent":[107,127,166,176],"representations":[108,167,177],"GAN":[109],"(LCR-GAN)":[110],"address":[112],"via":[115],"embedding":[116],"attributes":[123],"into":[124],"shared":[126],"space.":[128],"Specifically,":[129],"preserve":[131,186],"components,":[134],"distributions":[136],"aligned":[142],"maximizing":[144],"mutual":[146,158],"information":[147,159],"them.":[149],"And":[150],"rectify":[152],"details,":[156],"original":[161],"confined":[169],"within":[170],"appropriate":[172],"range.":[173],"Meanwhile,":[174],"decoded":[179],"back":[180],"both":[182],"further":[185],"components.":[189],"Extensive":[190],"evaluations":[191],"four":[193],"public":[194],"ZSL":[195],"benchmarks":[196],"validate":[197],"superiority":[199],"our":[201],"method":[202],"over":[203],"other":[204],"state-of-the-art":[205],"methods.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
