{"id":"https://openalex.org/W3134349168","doi":"https://doi.org/10.1109/dicta51227.2020.9363405","title":"Generalised Zero-shot Learning with Multi-modal Embedding Spaces","display_name":"Generalised Zero-shot Learning with Multi-modal Embedding Spaces","publication_year":2020,"publication_date":"2020-11-29","ids":{"openalex":"https://openalex.org/W3134349168","doi":"https://doi.org/10.1109/dicta51227.2020.9363405","mag":"3134349168"},"language":"en","primary_location":{"id":"doi:10.1109/dicta51227.2020.9363405","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta51227.2020.9363405","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-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/A5069969420","display_name":"Rafael Felix","orcid":"https://orcid.org/0000-0002-6186-9426"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Rafael Felix","raw_affiliation_strings":["The University of Adelaide"],"affiliations":[{"raw_affiliation_string":"The University of Adelaide","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055089022","display_name":"Michele Sasdelli","orcid":"https://orcid.org/0000-0003-1021-6369"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Michele Sasdelli","raw_affiliation_strings":["The University of Adelaide"],"affiliations":[{"raw_affiliation_string":"The University of Adelaide","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073083198","display_name":"Ben Harwood","orcid":null},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]},{"id":"https://openalex.org/I2801239119","display_name":"Australian Regenerative Medicine Institute","ror":"https://ror.org/02qa5kg76","country_code":"AU","type":"facility","lineage":["https://openalex.org/I2801037857","https://openalex.org/I2801239119","https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ben Harwood","raw_affiliation_strings":["Monash University"],"affiliations":[{"raw_affiliation_string":"Monash University","institution_ids":["https://openalex.org/I2801239119","https://openalex.org/I56590836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029215323","display_name":"Gustavo Carneiro","orcid":"https://orcid.org/0000-0002-5571-6220"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Gustavo Carneiro","raw_affiliation_strings":["The University of Adelaide"],"affiliations":[{"raw_affiliation_string":"The University of Adelaide","institution_ids":["https://openalex.org/I5681781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069969420"],"corresponding_institution_ids":["https://openalex.org/I5681781"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20998569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"8"},"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":0.9994000196456909,"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":0.9994000196456909,"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":0.9803000092506409,"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9375,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6960293054580688},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6823145747184753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6570039391517639},{"id":"https://openalex.org/keywords/probabilistic-latent-semantic-analysis","display_name":"Probabilistic latent semantic analysis","score":0.5971888303756714},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5910086035728455},{"id":"https://openalex.org/keywords/semantic-space","display_name":"Semantic space","score":0.5289179086685181},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5198984146118164},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4710911214351654},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4119996130466461},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3917808532714844}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6960293054580688},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6823145747184753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6570039391517639},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.5971888303756714},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5910086035728455},{"id":"https://openalex.org/C2986420190","wikidata":"https://www.wikidata.org/wiki/Q39045939","display_name":"Semantic space","level":2,"score":0.5289179086685181},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5198984146118164},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4710911214351654},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4119996130466461},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3917808532714844},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dicta51227.2020.9363405","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta51227.2020.9363405","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:digital.library.adelaide.edu.au:2440/137909","is_oa":false,"landing_page_url":"https://hdl.handle.net/2440/137909","pdf_url":null,"source":{"id":"https://openalex.org/S4306401835","display_name":"Adelaide Research & Scholarship (AR&S) (University of Adelaide)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5681781","host_organization_name":"The University of Adelaide","host_organization_lineage":["https://openalex.org/I5681781"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1109/DICTA51227.2020","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G4585740483","display_name":null,"funder_award_id":"FT190100525,CE140100016","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W652269744","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1959608418","https://openalex.org/W2017814585","https://openalex.org/W2044913453","https://openalex.org/W2108598243","https://openalex.org/W2123024445","https://openalex.org/W2124033848","https://openalex.org/W2128532956","https://openalex.org/W2134270519","https://openalex.org/W2171061940","https://openalex.org/W2194775991","https://openalex.org/W2289084343","https://openalex.org/W2311221615","https://openalex.org/W2334493732","https://openalex.org/W2398118205","https://openalex.org/W2400717490","https://openalex.org/W2611632661","https://openalex.org/W2626967530","https://openalex.org/W2725671465","https://openalex.org/W2760753862","https://openalex.org/W2810884800","https://openalex.org/W2887567284","https://openalex.org/W2891932073","https://openalex.org/W2899746634","https://openalex.org/W2899867883","https://openalex.org/W2927084868","https://openalex.org/W2947223061","https://openalex.org/W2948678175","https://openalex.org/W2949772502","https://openalex.org/W2955087950","https://openalex.org/W2962689421","https://openalex.org/W2962791511","https://openalex.org/W2962835968","https://openalex.org/W2963283377","https://openalex.org/W2963499153","https://openalex.org/W2963545832","https://openalex.org/W2963960318","https://openalex.org/W2964121744","https://openalex.org/W2964212410","https://openalex.org/W2967369756","https://openalex.org/W2979571231","https://openalex.org/W2979728922","https://openalex.org/W2998670004","https://openalex.org/W3100093508","https://openalex.org/W3143107425","https://openalex.org/W4285719527","https://openalex.org/W6600609147","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6640963894","https://openalex.org/W6678360021","https://openalex.org/W6678470764","https://openalex.org/W6739651123","https://openalex.org/W6740580305","https://openalex.org/W6746524570","https://openalex.org/W6754073506","https://openalex.org/W6755879285"],"related_works":["https://openalex.org/W3140002740","https://openalex.org/W2361268878","https://openalex.org/W3156761522","https://openalex.org/W2255924030","https://openalex.org/W1513715668","https://openalex.org/W4210441873","https://openalex.org/W2980960567","https://openalex.org/W3034658947","https://openalex.org/W2897122874","https://openalex.org/W632671069"],"abstract_inverted_index":{"Generalised":[0],"zero-shot":[1],"learning":[2,58,72],"(GZSL)":[3],"methods":[4,45,129],"aim":[5],"to":[6,88],"classify":[7],"previously":[8],"seen":[9,39,138,153,179],"and":[10,40,51,64,120,154,180],"unseen":[11,41,155,181],"visual":[12,50,63],"classes":[13,139],"by":[14,147,164],"leveraging":[15],"the":[16,23,38,57,95,131,135,161,173,178,198],"semantic":[17,27,52,65,81,119],"information":[18,28],"of":[19,25,37,59,77,94,137],"those":[20],"classes.":[21,42],"In":[22,67],"context":[24],"GZSL,":[26],"is":[29,130,144],"non-visual":[30],"data":[31],"such":[32],"as":[33,54,56],"a":[34,60,75,108,114,141,148,165],"text":[35],"description":[36],"Previous":[43],"GZSL":[44,110,128,185,191],"have":[46],"explored":[47,74],"transformations":[48],"between":[49],"spaces,":[53,105],"well":[55],"latent":[61,84,122],"joint":[62,83,121],"space.":[66],"these":[68],"methods,":[69],"even":[70],"though":[71],"has":[73],"combination":[76],"spaces":[78],"(i.e.,":[79],"visual,":[80,118],"or":[82],"space),":[85],"inference":[86,100],"tended":[87],"focus":[89],"on":[90,113,171,184],"using":[91],"just":[92],"one":[93],"spaces.":[96,123],"By":[97],"hypothesising":[98],"that":[99,143,188],"must":[101],"explore":[102],"all":[103],"three":[104],"we":[106],"propose":[107],"new":[109],"method":[111],"based":[112,170],"multimodal":[115],"classification":[116,136,163,169],"over":[117],"Another":[124],"issue":[125],"affecting":[126],"current":[127],"intrinsic":[132],"bias":[133],"toward":[134],"-":[140],"problem":[142],"usually":[145],"mitigated":[146],"domain":[149],"classifier":[150],"which":[151],"modulates":[152],"classification.":[156],"Our":[157],"proposed":[158,190],"approach":[159,192],"replaces":[160],"modulated":[162],"computationally":[166],"simpler":[167],"multidomain":[168],"averaging":[172],"multi-modal":[174],"calibrated":[175],"classifiers":[176],"from":[177],"domains.":[182],"Experiments":[183],"benchmarks":[186],"show":[187],"our":[189],"achieves":[193],"competitive":[194],"results":[195],"compared":[196],"with":[197],"state-of-the-art.":[199]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
