{"id":"https://openalex.org/W3111484932","doi":"https://doi.org/10.1109/tcds.2020.3044313","title":"Learning Multipart Attention Neural Network for Zero-Shot Classification","display_name":"Learning Multipart Attention Neural Network for Zero-Shot Classification","publication_year":2020,"publication_date":"2020-12-14","ids":{"openalex":"https://openalex.org/W3111484932","doi":"https://doi.org/10.1109/tcds.2020.3044313","mag":"3111484932"},"language":"en","primary_location":{"id":"doi:10.1109/tcds.2020.3044313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2020.3044313","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"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 Cognitive and Developmental Systems","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/A5048763159","display_name":"Min Meng","orcid":"https://orcid.org/0000-0002-5107-5585"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Meng","raw_affiliation_strings":["Department of Computer Science, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5107-5585","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113562780","display_name":"Jie Wei","orcid":"https://orcid.org/0009-0004-8007-8197"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wei","raw_affiliation_strings":["Department of Computer Science, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060755096","display_name":"Jigang Wu","orcid":"https://orcid.org/0000-0002-6470-9794"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jigang Wu","raw_affiliation_strings":["Department of Computer Science, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6470-9794","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":1.043,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.82711797,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"14","issue":"2","first_page":"414","last_page":"423"},"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":0.996399998664856,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9550999999046326,"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":0.8716613054275513},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6766257286071777},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6251444816589355},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5650582909584045},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5055856704711914},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.48993271589279175},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4726863205432892},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.4691304862499237},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.46715158224105835},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.45681628584861755},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4515591263771057},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44701942801475525},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4376939535140991},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.43587738275527954},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.41978779435157776},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4197327494621277},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.41867348551750183}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8716613054275513},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6766257286071777},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6251444816589355},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5650582909584045},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5055856704711914},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.48993271589279175},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4726863205432892},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.4691304862499237},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.46715158224105835},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.45681628584861755},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4515591263771057},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44701942801475525},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4376939535140991},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.43587738275527954},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.41978779435157776},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4197327494621277},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.41867348551750183},{"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcds.2020.3044313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2020.3044313","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"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 Cognitive and Developmental Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G4203757070","display_name":null,"funder_award_id":"2018YFB1003201","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4722910489","display_name":null,"funder_award_id":"61702114","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G558307529","display_name":"\u5206\u5e03\u5f0f\u8fb9\u7f18\u8bad\u7ec3\u52a8\u6001\u8ba1\u7b97\u73af\u5883\u4e0b\u670d\u52a1\u8d28\u91cf\u4fdd\u969c\u7814\u7a76","funder_award_id":"62072118","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6029430578","display_name":null,"funder_award_id":"2018B030311007","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G8864318650","display_name":null,"funder_award_id":"2020A1515011361","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W652269744","https://openalex.org/W1492420801","https://openalex.org/W1522301498","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1797268635","https://openalex.org/W1928906481","https://openalex.org/W1960364170","https://openalex.org/W2044913453","https://openalex.org/W2098411764","https://openalex.org/W2109317801","https://openalex.org/W2128532956","https://openalex.org/W2141350700","https://openalex.org/W2161381512","https://openalex.org/W2187105870","https://openalex.org/W2289084343","https://openalex.org/W2328434568","https://openalex.org/W2334493732","https://openalex.org/W2398118205","https://openalex.org/W2405223529","https://openalex.org/W2462457117","https://openalex.org/W2549665044","https://openalex.org/W2611632661","https://openalex.org/W2618530766","https://openalex.org/W2744242754","https://openalex.org/W2766154025","https://openalex.org/W2774319743","https://openalex.org/W2805434138","https://openalex.org/W2883124384","https://openalex.org/W2888910451","https://openalex.org/W2891932073","https://openalex.org/W2901194007","https://openalex.org/W2905548899","https://openalex.org/W2919510902","https://openalex.org/W2948162522","https://openalex.org/W2962714319","https://openalex.org/W2962830213","https://openalex.org/W2962891704","https://openalex.org/W2963545832","https://openalex.org/W2963779825","https://openalex.org/W2963954913","https://openalex.org/W2963955422","https://openalex.org/W2963986337","https://openalex.org/W2964086552","https://openalex.org/W2990947836","https://openalex.org/W3143107425","https://openalex.org/W6630875275","https://openalex.org/W6678360021","https://openalex.org/W6678470764","https://openalex.org/W6682691769","https://openalex.org/W6749074686"],"related_works":["https://openalex.org/W2950475743","https://openalex.org/W2912987408","https://openalex.org/W4296978181","https://openalex.org/W2937381246","https://openalex.org/W4230582276","https://openalex.org/W4313444753","https://openalex.org/W4387163578","https://openalex.org/W4206451978","https://openalex.org/W3041443116","https://openalex.org/W2759497208"],"abstract_inverted_index":{"Zero-shot":[0],"learning":[1],"(ZSL)":[2],"models":[3],"typically":[4],"learn":[5],"a":[6,63,96,112,139],"cross-modal":[7],"mapping":[8],"between":[9,124],"the":[10,15,32,36,55,75,101,107,120,158,170,196],"visual":[11,29,52,92,103],"feature":[12],"space":[13],"and":[14,126,176],"semantic":[16,135,147,177],"embedding":[17],"space.":[18],"Despite":[19],"promising":[20],"performance":[21,131,194],"achieved":[22],"by":[23],"existing":[24],"methods,":[25],"they":[26],"usually":[27],"take":[28],"features":[30],"from":[31],"whole":[33,56],"image":[34,45,166],"as":[35],"main":[37],"proposed":[38,82,190],"inputs,":[39],"while":[40],"pay":[41],"little":[42],"attention":[43,71,89,174],"to":[44,50,54,73,86,105,118,144,151],"regions":[46],"which":[47,68,94,149],"are":[48,137],"relevant":[49],"human\u2019s":[51],"response":[53],"image.":[57,80],"In":[58],"this":[59],"article,":[60],"we":[61,110,168],"propose":[62],"neural":[64],"network-based":[65],"ZSL":[66],"model":[67,83,181],"incorporates":[69],"an":[70],"mechanism":[72,175],"discover":[74],"discriminative":[76],"parts":[77,178],"for":[78,91,164,182],"each":[79],"The":[81],"allows":[84],"us":[85],"automatically":[87],"generate":[88],"maps":[90],"parts,":[93],"provides":[95],"flexible":[97],"way":[98],"of":[99,172],"encoding":[100],"salient":[102],"aspects":[104],"distinguish":[106],"categories.":[108],"Moreover,":[109],"introduce":[111],"simple":[113],"yet":[114],"effective":[115],"objective":[116],"function":[117],"exploit":[119],"pairwise":[121],"label":[122],"information":[123],"images":[125],"classes,":[127],"resulting":[128],"in":[129,155,179],"substantial":[130],"improvement.":[132],"When":[133],"multiple":[134],"spaces":[136],"available,":[138],"multiple-attention":[140],"scheme":[141],"is":[142],"provided":[143],"fuse":[145],"different":[146],"spaces,":[148],"helps":[150],"achieve":[152],"further":[153],"improvement":[154],"performance.":[156],"On":[157],"widely":[159],"used":[160],"CUB-2010-2011":[161],"data":[162],"set":[163],"fine-grained":[165],"classification,":[167],"demonstrate":[169],"advantages":[171],"using":[173],"our":[180,189],"ZSL.":[183],"Comprehensive":[184],"experimental":[185],"results":[186],"show":[187],"that":[188],"approach":[191],"achieves":[192],"superior":[193],"than":[195],"state-of-the-art":[197],"methods.":[198]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}