{"id":"https://openalex.org/W3118716190","doi":"https://doi.org/10.1109/tcds.2021.3049274","title":"Holistically Associated Transductive Zero-Shot Learning","display_name":"Holistically Associated Transductive Zero-Shot Learning","publication_year":2021,"publication_date":"2021-01-07","ids":{"openalex":"https://openalex.org/W3118716190","doi":"https://doi.org/10.1109/tcds.2021.3049274","mag":"3118716190"},"language":"en","primary_location":{"id":"doi:10.1109/tcds.2021.3049274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2021.3049274","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":true,"oa_status":"green","oa_url":"https://ink.library.smu.edu.sg/sis_research/7862","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003836412","display_name":"Yangyang Xu","orcid":"https://orcid.org/0000-0002-3383-4349"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yangyang Xu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027872024","display_name":"Xuemiao Xu","orcid":"https://orcid.org/0000-0002-8006-3663"},"institutions":[{"id":"https://openalex.org/I4391768177","display_name":"State Key Laboratory of Subtropical Building Science","ror":"https://ror.org/020bzb737","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391768177","https://openalex.org/I90610280"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemiao Xu","raw_affiliation_strings":["School of Computer Science and Engineering, Ministry of Education Key Laboratory of Big Data and Intelligent Robot and Guangdong, and State Key Laboratory of Subtropical Building Science, Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Ministry of Education Key Laboratory of Big Data and Intelligent Robot and Guangdong, and State Key Laboratory of Subtropical Building Science, Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280","https://openalex.org/I4391768177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100682155","display_name":"Guoqiang Han","orcid":"https://orcid.org/0000-0002-9687-3900"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqiang Han","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056103024","display_name":"Shengfeng He","orcid":"https://orcid.org/0000-0002-3802-4644"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengfeng He","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003836412"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":1.2596,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.83112442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"14","issue":"2","first_page":"437","last_page":"447"},"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":0.9980999827384949,"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":0.9980999827384949,"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":0.9592000246047974,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.957099974155426,"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":0.8214005827903748},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.711455762386322},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6711896657943726},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5784848928451538},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5331943035125732},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.497360497713089},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4829499125480652},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43921899795532227},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4363935589790344},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.42327457666397095},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40570810437202454},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10189777612686157}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8214005827903748},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.711455762386322},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6711896657943726},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5784848928451538},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5331943035125732},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.497360497713089},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4829499125480652},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43921899795532227},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4363935589790344},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.42327457666397095},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40570810437202454},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10189777612686157},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcds.2021.3049274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2021.3049274","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"},{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-8865","is_oa":true,"landing_page_url":"https://ink.library.smu.edu.sg/sis_research/7862","pdf_url":null,"source":{"id":"https://openalex.org/S4306401925","display_name":"Singapore Management University Institutional Knowledge (InK) (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1109/TCDS.2021.3049274","raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-8865","is_oa":true,"landing_page_url":"https://ink.library.smu.edu.sg/sis_research/7862","pdf_url":null,"source":{"id":"https://openalex.org/S4306401925","display_name":"Singapore Management University Institutional Knowledge (InK) (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1109/TCDS.2021.3049274","raw_type":"Journal Article"},"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G4746719958","display_name":null,"funder_award_id":"61702194","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5072106865","display_name":null,"funder_award_id":"61772206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5526867466","display_name":null,"funder_award_id":"U1611461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8450291162","display_name":null,"funder_award_id":"61972162","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8927398668","display_name":null,"funder_award_id":"61472145","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":94,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W93016980","https://openalex.org/W652269744","https://openalex.org/W1498368596","https://openalex.org/W1522301498","https://openalex.org/W1805946669","https://openalex.org/W1955857676","https://openalex.org/W2044913453","https://openalex.org/W2060300932","https://openalex.org/W2064851185","https://openalex.org/W2070148066","https://openalex.org/W2081580037","https://openalex.org/W2100771357","https://openalex.org/W2109317801","https://openalex.org/W2125389028","https://openalex.org/W2126579184","https://openalex.org/W2128532956","https://openalex.org/W2141350700","https://openalex.org/W2194775991","https://openalex.org/W2209594346","https://openalex.org/W2246782854","https://openalex.org/W2250539671","https://openalex.org/W2289084343","https://openalex.org/W2342662179","https://openalex.org/W2400717490","https://openalex.org/W2405223529","https://openalex.org/W2463762378","https://openalex.org/W2494196141","https://openalex.org/W2507009361","https://openalex.org/W2518962550","https://openalex.org/W2520613337","https://openalex.org/W2520774990","https://openalex.org/W2549665044","https://openalex.org/W2552383788","https://openalex.org/W2560129302","https://openalex.org/W2596142952","https://openalex.org/W2609698233","https://openalex.org/W2724492314","https://openalex.org/W2732937366","https://openalex.org/W2736334449","https://openalex.org/W2740825418","https://openalex.org/W2748618181","https://openalex.org/W2780288531","https://openalex.org/W2789366140","https://openalex.org/W2799215068","https://openalex.org/W2883124384","https://openalex.org/W2883725317","https://openalex.org/W2887567284","https://openalex.org/W2899867883","https://openalex.org/W2901194007","https://openalex.org/W2902746003","https://openalex.org/W2915533878","https://openalex.org/W2919510902","https://openalex.org/W2928966231","https://openalex.org/W2955087950","https://openalex.org/W2962714319","https://openalex.org/W2962716320","https://openalex.org/W2962762077","https://openalex.org/W2962791511","https://openalex.org/W2962824231","https://openalex.org/W2962914678","https://openalex.org/W2963152432","https://openalex.org/W2963486920","https://openalex.org/W2963499153","https://openalex.org/W2963538198","https://openalex.org/W2963846885","https://openalex.org/W2963960318","https://openalex.org/W2964086552","https://openalex.org/W2964248207","https://openalex.org/W2965373098","https://openalex.org/W2977355106","https://openalex.org/W2979300990","https://openalex.org/W2979571231","https://openalex.org/W2981407849","https://openalex.org/W2985891137","https://openalex.org/W2988501586","https://openalex.org/W3035042565","https://openalex.org/W3047443805","https://openalex.org/W3099554308","https://openalex.org/W3103695279","https://openalex.org/W6600983433","https://openalex.org/W6603820874","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6676368796","https://openalex.org/W6678360021","https://openalex.org/W6678470764","https://openalex.org/W6678815747","https://openalex.org/W6682864246","https://openalex.org/W6723111471","https://openalex.org/W6749074686","https://openalex.org/W6755766585","https://openalex.org/W6767354860"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2942366970","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2562400057","https://openalex.org/W1968265719","https://openalex.org/W2010725720","https://openalex.org/W4310066305","https://openalex.org/W2137180285"],"abstract_inverted_index":{"With":[0],"the":[1,14,18,22,36,39,45,53,76,89,97,124,130,161,172,179,206],"explosive":[2],"growth":[3],"of":[4,86,96,116,123],"visual":[5],"media":[6],"categories,":[7],"zero-shot":[8],"learning":[9,91],"(ZSL)":[10],"aims":[11],"to":[12,21,70,81,160],"transfer":[13],"knowledge":[15],"obtained":[16],"from":[17],"seen":[19,37],"classes":[20,24,118],"unseen":[23,40,46,98,125,142,147],"for":[25,119,153],"recognizing":[26],"novel":[27],"instances.":[28],"However,":[29],"there":[30],"is":[31,79,103],"a":[32,66,135,154],"domain":[33,173],"gap":[34,59,174],"between":[35],"and":[38,42,92,165,186,199],"classes,":[41],"simply":[43],"matching":[44],"instances":[47],"using":[48],"nearest":[49],"neighbor":[50],"searching":[51],"in":[52],"embedding":[54],"space":[55],"cannot":[56],"bridge":[57],"this":[58,62,72],"effectively.":[60,175],"In":[61,74],"article,":[63],"we":[64],"propose":[65],"holistically":[67],"associated":[68],"model":[69,78,170,181,208],"overcome":[71],"obstacle.":[73],"particular,":[75],"proposed":[77,180,207],"designed":[80],"combat":[82],"two":[83],"fundamental":[84],"problems":[85],"ZSL:":[87],"1)":[88],"representation":[90],"2)":[93],"label":[94,157,167],"assignment":[95],"classes.":[99],"The":[100,201],"first":[101],"problem":[102],"addressed":[104],"by":[105,133],"proposing":[106,134],"an":[107],"affinity":[108],"propagation":[109],"network,":[110],"which":[111],"considers":[112],"holistic":[113,146],"pairwise":[114],"connections":[115],"all":[117],"producing":[120],"exemplar":[121,163],"features":[122,149,164],"samples.":[126],"We":[127,176],"cope":[128],"with":[129,196],"second":[131],"issue":[132],"progressive":[136],"clustering":[137],"module.":[138],"It":[139],"iteratively":[140],"refines":[141],"clusters":[143],"so":[144],"that":[145,205],"instance":[148],"can":[150],"be":[151],"used":[152],"reliable":[155],"classwise":[156,166],"assignment.":[158],"Thanks":[159],"precise":[162],"assignment,":[168],"our":[169],"eliminates":[171],"extensively":[177],"evaluate":[178],"on":[182,212],"five":[183],"human":[184],"action":[185],"image":[187],"data":[188,216],"sets,":[189],"i.e.,":[190],"Olympics":[191],"Sports,":[192],"HMDB51,":[193],"UCF101,":[194],"Animals":[195],"Attributes":[197],"2,":[198],"SUN.":[200],"experimental":[202],"results":[203],"show":[204],"outperforms":[209],"state-of-the-art":[210],"methods":[211],"these":[213],"substantially":[214],"different":[215],"sets.":[217]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}