{"id":"https://openalex.org/W4387449204","doi":"https://doi.org/10.1109/tpami.2023.3323012","title":"Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning","display_name":"Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning","publication_year":2023,"publication_date":"2023-10-09","ids":{"openalex":"https://openalex.org/W4387449204","doi":"https://doi.org/10.1109/tpami.2023.3323012","pmid":"https://pubmed.ncbi.nlm.nih.gov/37812558"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2023.3323012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3323012","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5038805046","display_name":"Zhe Liu","orcid":"https://orcid.org/0000-0003-2692-2110"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU","CN"],"is_corresponding":false,"raw_author_name":"Zhe Liu","raw_affiliation_strings":["School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia","Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Jiangnan University, China"],"raw_orcid":"https://orcid.org/0000-0003-2692-2110","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Jiangnan University, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057838181","display_name":"Yun Li","orcid":"https://orcid.org/0000-0003-4442-3825"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yun Li","raw_affiliation_strings":["CSIRO&#x0027;s Data61, Eveleigh, NSW, Australia","School of Computer Science and Engineering, University of New South Wales, Australia"],"raw_orcid":"https://orcid.org/0000-0003-4442-3825","affiliations":[{"raw_affiliation_string":"CSIRO&#x0027;s Data61, Eveleigh, NSW, Australia","institution_ids":["https://openalex.org/I1292875679","https://openalex.org/I42894916"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of New South Wales, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052731721","display_name":"Lina Yao","orcid":"https://orcid.org/0000-0002-4149-839X"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lina Yao","raw_affiliation_strings":["CSIRO&#x0027;s Data61, Eveleigh, NSW, Australia","School of Computer Science and Engineering, University of New South Wales, Australia"],"raw_orcid":"https://orcid.org/0000-0002-4149-839X","affiliations":[{"raw_affiliation_string":"CSIRO&#x0027;s Data61, Eveleigh, NSW, Australia","institution_ids":["https://openalex.org/I1292875679","https://openalex.org/I42894916"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of New South Wales, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034967388","display_name":"Xiaojun Chang","orcid":"https://orcid.org/0000-0002-7778-8807"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]},{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE","AU"],"is_corresponding":false,"raw_author_name":"Xiaojun Chang","raw_affiliation_strings":["Australian Artificial Intelligence Institute, University of Technology Sydney, Sydney, NSW, Australia","Department of Computer Vision, Mohamed bin Zayed University of Artificial Intelligence Masdar City, Abu Dhabi"],"raw_orcid":"https://orcid.org/0000-0002-7778-8807","affiliations":[{"raw_affiliation_string":"Australian Artificial Intelligence Institute, University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"Department of Computer Vision, Mohamed bin Zayed University of Artificial Intelligence Masdar City, Abu Dhabi","institution_ids":["https://openalex.org/I4210113480"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei Fang","orcid":"https://orcid.org/0000-0001-8052-0994"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Fang","raw_affiliation_strings":["Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0000-0001-8052-0994","affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087450445","display_name":"Xiao\u2010Jun Wu","orcid":"https://orcid.org/0000-0002-0310-5778"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojun Wu","raw_affiliation_strings":["Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0000-0002-0310-5778","affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109797436","display_name":"Abdulmotaleb El Saddik","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Abdulmotaleb El Saddik","raw_affiliation_strings":["Department of Computer Vision, Mohamed bin Zayed University of Artificial Intelligence Masdar City, Abu Dhabi, UAE"],"raw_orcid":"https://orcid.org/0000-0002-7690-8547","affiliations":[{"raw_affiliation_string":"Department of Computer Vision, Mohamed bin Zayed University of Artificial Intelligence Masdar City, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I4210113480"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2345,"currency":"USD","value_usd":2345},"apc_paid":null,"fwci":2.8901,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.92488251,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"46","issue":"1","first_page":"543","last_page":"560"},"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":0.9995999932289124,"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":0.9995999932289124,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9797999858856201,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9703999757766724,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7069145441055298},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5897188782691956},{"id":"https://openalex.org/keywords/kochen\u2013specker-theorem","display_name":"Kochen\u2013Specker theorem","score":0.5809409618377686},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.49174168705940247},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.482160747051239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4715335965156555},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.45788609981536865},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38868898153305054},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34251248836517334},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.12733158469200134},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.0842365026473999}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7069145441055298},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5897188782691956},{"id":"https://openalex.org/C193588502","wikidata":"https://www.wikidata.org/wiki/Q528955","display_name":"Kochen\u2013Specker theorem","level":3,"score":0.5809409618377686},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.49174168705940247},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.482160747051239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4715335965156555},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.45788609981536865},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38868898153305054},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34251248836517334},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.12733158469200134},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.0842365026473999},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2023.3323012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3323012","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:37812558","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37812558","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1948251820","https://openalex.org/W2093848332","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2289084343","https://openalex.org/W2479423890","https://openalex.org/W2493916176","https://openalex.org/W2610366607","https://openalex.org/W2622398900","https://openalex.org/W2736809457","https://openalex.org/W2889167066","https://openalex.org/W2896659472","https://openalex.org/W2910453440","https://openalex.org/W2948162522","https://openalex.org/W2963499153","https://openalex.org/W2963518342","https://openalex.org/W2982407353","https://openalex.org/W2982863468","https://openalex.org/W2986385672","https://openalex.org/W3034257141","https://openalex.org/W3034942609","https://openalex.org/W3035084814","https://openalex.org/W3035502324","https://openalex.org/W3087575941","https://openalex.org/W3094575670","https://openalex.org/W3101720316","https://openalex.org/W3109754877","https://openalex.org/W3120940860","https://openalex.org/W3133702293","https://openalex.org/W3138798301","https://openalex.org/W3158711590","https://openalex.org/W3162332195","https://openalex.org/W3163842339","https://openalex.org/W3164354101","https://openalex.org/W3171399186","https://openalex.org/W3174366534","https://openalex.org/W3176646400","https://openalex.org/W3189076762","https://openalex.org/W3195324332","https://openalex.org/W3196690531","https://openalex.org/W3197395033","https://openalex.org/W3201221410","https://openalex.org/W3202170421","https://openalex.org/W3204452106","https://openalex.org/W3207547653","https://openalex.org/W3210749271","https://openalex.org/W3215250298","https://openalex.org/W3216343037","https://openalex.org/W4200374933","https://openalex.org/W4225329057","https://openalex.org/W4229482837","https://openalex.org/W4281722009","https://openalex.org/W4281989354","https://openalex.org/W4285787895","https://openalex.org/W4288064589","https://openalex.org/W4292974991","https://openalex.org/W4297990221","https://openalex.org/W4312400874","https://openalex.org/W4312539810","https://openalex.org/W4312578829","https://openalex.org/W4313183962","https://openalex.org/W4319299836","https://openalex.org/W4390871932","https://openalex.org/W6621740533","https://openalex.org/W6631190155","https://openalex.org/W6681151457","https://openalex.org/W6682691769","https://openalex.org/W6766978945","https://openalex.org/W6780184713","https://openalex.org/W6781630272","https://openalex.org/W6784233108","https://openalex.org/W6785403945","https://openalex.org/W6790978476","https://openalex.org/W6796967493","https://openalex.org/W6797230115"],"related_works":["https://openalex.org/W4313265376","https://openalex.org/W4294299777","https://openalex.org/W2269253281","https://openalex.org/W2981970099","https://openalex.org/W4288090650","https://openalex.org/W3170399694","https://openalex.org/W1557624689","https://openalex.org/W3132834219","https://openalex.org/W4287323481","https://openalex.org/W3200804725"],"abstract_inverted_index":{"The":[0,30],"task":[1],"of":[2,32,42,91],"Open-World":[3],"Compositional":[4],"Zero-Shot":[5],"Learning":[6],"(OW-CZSL)":[7],"is":[8,95,121],"to":[9,38,60,87,130,135,155],"recognize":[10],"novel":[11,22],"state-object":[12],"compositions":[13,23],"in":[14,103,112],"images":[15,157],"from":[16],"all":[17],"possible":[18,43],"compositions,":[19,92],"where":[20],"the":[21,27,39,66,79,88,104,109,132,141,162,168,174,181],"are":[24],"absent":[25],"during":[26],"training":[28],"stage.":[29],"performance":[31],"conventional":[33],"methods":[34],"degrades":[35],"significantly":[36],"due":[37],"large":[40],"cardinality":[41],"compositions.":[44,73],"Some":[45],"recent":[46],"works":[47],"consider":[48],"simple":[49,145],"primitives":[50],"(i.e.,":[51],"states":[52],"and":[53,56,72,83,177],"objects)":[54],"independent":[55,169],"separately":[57],"predict":[58],"them":[59],"reduce":[61],"cardinality.":[62],"However,":[63],"it":[64,120],"ignores":[65],"heavy":[67],"dependence":[68,80],"between":[69,144],"states,":[70],"objects,":[71],"In":[74,180],"this":[75],"paper,":[76],"we":[77,166,183],"model":[78,172],"via":[81],"feasibility":[82,90,133,176],"contextuality.":[84],"Feasibility-dependence":[85],"refers":[86],"unequal":[89],"e.g.,":[93,114],"hairy":[94],"more":[96],"feasible":[97],"with":[98,101,173],"cat":[99,115],"than":[100],"building":[102],"real":[105],"world.":[106],"Contextuality-dependence":[107],"represents":[108],"contextual":[110,163],"variance":[111],"images,":[113],"shows":[116],"diverse":[117],"appearances":[118],"when":[119],"dry":[122],"or":[123,187],"wet.":[124],"We":[125,147],"design":[126],"Semantic":[127],"Attention":[128],"(SA)":[129],"capture":[131],"semantics":[134],"alleviate":[136],"impossible":[137],"predictions,":[138],"driven":[139],"by":[140],"visual":[142],"similarity":[143],"primitives.":[146],"also":[148],"propose":[149],"a":[150],"generative":[151],"Knowledge":[152],"Disentanglement":[153],"(KD)":[154],"disentangle":[156],"into":[158],"unbiased":[159],"representations,":[160],"easing":[161],"bias.":[164],"Moreover,":[165],"complement":[167],"compositional":[170],"probability":[171],"learned":[175],"contextuality":[178],"compatibly.":[179],"experiments,":[182],"demonstrate":[184],"our":[185],"superior":[186],"competitive":[188],"performance,":[189],"SA-and-kD-guided":[190],"Simple":[191],"Primitives":[192],"(SAD-SP),":[193],"on":[194],"three":[195],"benchmark":[196],"datasets.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":6}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
