{"id":"https://openalex.org/W4401634040","doi":"https://doi.org/10.1109/tcsvt.2024.3444782","title":"LVAR-CZSL: Learning Visual Attributes Representation for Compositional Zero-Shot Learning","display_name":"LVAR-CZSL: Learning Visual Attributes Representation for Compositional Zero-Shot Learning","publication_year":2024,"publication_date":"2024-08-16","ids":{"openalex":"https://openalex.org/W4401634040","doi":"https://doi.org/10.1109/tcsvt.2024.3444782"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3444782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3444782","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5021533960","display_name":"Xingjiang Ma","orcid":"https://orcid.org/0000-0003-4637-3008"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingjiang Ma","raw_affiliation_strings":["State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China"],"raw_orcid":"https://orcid.org/0000-0003-4637-3008","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074326967","display_name":"Jing Yang","orcid":"https://orcid.org/0000-0003-1915-9487"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Yang","raw_affiliation_strings":["State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China"],"raw_orcid":"https://orcid.org/0000-0003-1915-9487","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101566662","display_name":"Jiacheng Lin","orcid":"https://orcid.org/0000-0003-1393-5027"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiacheng Lin","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-1393-5027","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050396482","display_name":"Zhenzhe Zheng","orcid":"https://orcid.org/0000-0003-3447-5349"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenzhe Zheng","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-3447-5349","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354322","display_name":"Shaobo Li","orcid":"https://orcid.org/0000-0003-4759-6000"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaobo Li","raw_affiliation_strings":["State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China"],"raw_orcid":"https://orcid.org/0000-0003-4759-6000","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102648938","display_name":"Bingqi Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingqi Hu","raw_affiliation_strings":["State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China"],"raw_orcid":"https://orcid.org/0009-0007-5829-1196","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103060458","display_name":"Xianghong Tang","orcid":"https://orcid.org/0000-0002-3961-5649"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianghong Tang","raw_affiliation_strings":["State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China"],"raw_orcid":"https://orcid.org/0000-0002-3961-5649","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5006,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.90566433,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"34","issue":"12","first_page":"13311","last_page":"13323"},"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":0.9882000088691711,"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":0.9882000088691711,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.95169997215271,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12439","display_name":"Dental Research and COVID-19","score":0.9469000101089478,"subfield":{"id":"https://openalex.org/subfields/3500","display_name":"General Dentistry"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6663036346435547},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5320732593536377},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5270602703094482},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.4900766611099243},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.45611733198165894},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.44220903515815735},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36601173877716064},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3398648500442505}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6663036346435547},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5320732593536377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5270602703094482},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.4900766611099243},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.45611733198165894},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.44220903515815735},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36601173877716064},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3398648500442505},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2024.3444782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3444782","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1446168431","display_name":null,"funder_award_id":"QKH[2021]335","funder_id":"https://openalex.org/F4320336617","funder_display_name":"Science and Technology Program of Guizhou Province"},{"id":"https://openalex.org/G3906107738","display_name":null,"funder_award_id":"QKHZC[2022]003","funder_id":"https://openalex.org/F4320336617","funder_display_name":"Science and Technology Program of Guizhou Province"},{"id":"https://openalex.org/G6360692046","display_name":null,"funder_award_id":"62166005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8784637967","display_name":null,"funder_award_id":"QKH-ZK[2022]130","funder_id":"https://openalex.org/F4320336617","funder_display_name":"Science and Technology Program of Guizhou Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336617","display_name":"Science and Technology Program of Guizhou Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1948251820","https://openalex.org/W2063386797","https://openalex.org/W2093848332","https://openalex.org/W2098411764","https://openalex.org/W2108598243","https://openalex.org/W2157423479","https://openalex.org/W2194775991","https://openalex.org/W2550553598","https://openalex.org/W2560730294","https://openalex.org/W2736809457","https://openalex.org/W2752782242","https://openalex.org/W2889167066","https://openalex.org/W2962858109","https://openalex.org/W2963495494","https://openalex.org/W2963518342","https://openalex.org/W2986385672","https://openalex.org/W3014645216","https://openalex.org/W3035084814","https://openalex.org/W3096609285","https://openalex.org/W3143107425","https://openalex.org/W3158711590","https://openalex.org/W3162332195","https://openalex.org/W3164354101","https://openalex.org/W3172112830","https://openalex.org/W3216130706","https://openalex.org/W4281722009","https://openalex.org/W4285287611","https://openalex.org/W4285787895","https://openalex.org/W4289752563","https://openalex.org/W4292974991","https://openalex.org/W4312377093","https://openalex.org/W4312539810","https://openalex.org/W4312578829","https://openalex.org/W4312853765","https://openalex.org/W4315606144","https://openalex.org/W4321380793","https://openalex.org/W4381886216","https://openalex.org/W4385338882","https://openalex.org/W4385774224","https://openalex.org/W4386052195","https://openalex.org/W4386065859","https://openalex.org/W4386076688","https://openalex.org/W4386159985","https://openalex.org/W4388405697","https://openalex.org/W4389403405","https://openalex.org/W4392293759","https://openalex.org/W4392309169","https://openalex.org/W4392902852","https://openalex.org/W4393183759","https://openalex.org/W4393285773","https://openalex.org/W6631190155","https://openalex.org/W6678800043","https://openalex.org/W6682137061","https://openalex.org/W6730179637","https://openalex.org/W6766904570","https://openalex.org/W6767211374","https://openalex.org/W6779961489","https://openalex.org/W6780184713"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574","https://openalex.org/W2359774528","https://openalex.org/W4298312966","https://openalex.org/W2325697621"],"abstract_inverted_index":{"Compositional":[0,52],"Zero-Shot":[1,53],"Learning":[2,47,54,84],"(CZSL)":[3],"has":[4,57],"been":[5],"applied":[6],"to":[7,60,115,160],"various":[8],"scenarios,":[9],"including":[10],"scene":[11],"understanding,":[12],"visual-language":[13],"representation,":[14],"and":[15,21,33,64,81,92,121,134,136,142,167],"domain":[16],"adaptation.":[17],"Despite":[18],"numerous":[19],"endeavours":[20],"significant":[22],"advancements,":[23],"the":[24,58,75,82,101,113,138,147,162],"crucial":[25],"issues":[26],"of":[27,30,71,103,165],"fuzzy":[28,104],"conceptualization":[29],"visual":[31,62,94,98,105],"attributes":[32,63,91,120],"insufficient":[34],"inter-class":[35,65,125],"connectivity,":[36],"have":[37],"remained":[38],"insufficiently":[39],"addressed.":[40],"To":[41,127],"address":[42],"these":[43],"issues,":[44],"we":[45,145,154],"propose":[46,155],"Visual":[48,76],"Attributes":[49],"Representation":[50,78],"for":[51],"(LVAR-CZSL),":[55],"which":[56],"ability":[59],"learn":[61],"dependencies.":[66],"LVAR-CZSL":[67,111,177],"is":[68,183],"mainly":[69],"composed":[70],"two":[72],"key":[73],"components:":[74],"Attribute":[77],"Module":[79,85],"(VARM)":[80],"Connected":[83],"(CLM).":[86],"Specifically,":[87],"VARM":[88,133,166],"extracts":[89],"detailed":[90],"object":[93],"features":[95],"from":[96],"global":[97],"features,":[99,144],"resolving":[100],"issue":[102],"attribute":[106],"concepts.":[107],"Moreover,":[108],"CLM":[109,135],"endows":[110],"with":[112],"capability":[114],"perceive":[116],"connectivity":[117],"between":[118,132,140],"different":[119],"objects,":[122],"effectively":[123],"enhancing":[124],"connectivity.":[126],"establish":[128],"a":[129],"close":[130],"connection":[131],"minimize":[137],"gap":[139],"image":[141],"text":[143],"introduce":[146],"composition-attribute-object":[148],"Joint":[149,156],"Scoring":[150],"Function":[151,158],"(JSF).":[152],"Additionally,":[153],"Loss":[157],"(JLF)":[159],"optimize":[161],"learning":[163],"process":[164],"CLM.":[168],"The":[169,181],"experiment":[170],"results":[171],"on":[172],"four":[173],"datasets":[174],"show":[175],"that":[176],"achieves":[178],"state-of-the-art":[179],"performance.":[180],"code":[182],"available":[184],"at":[185],"<uri":[186],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[187],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/mxjmxj1/LVAR-CZSL</uri>.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
