{"id":"https://openalex.org/W3190450813","doi":"https://doi.org/10.1109/tpami.2023.3277881","title":"Prototype Completion for Few-Shot Learning","display_name":"Prototype Completion for Few-Shot Learning","publication_year":2023,"publication_date":"2023-05-22","ids":{"openalex":"https://openalex.org/W3190450813","doi":"https://doi.org/10.1109/tpami.2023.3277881","mag":"3190450813","pmid":"https://pubmed.ncbi.nlm.nih.gov/37216260"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2023.3277881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3277881","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":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2108.05010","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101679400","display_name":"Baoquan Zhang","orcid":"https://orcid.org/0000-0001-6178-6797"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoquan Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China","School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0001-6178-6797","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063318300","display_name":"Xutao Li","orcid":"https://orcid.org/0000-0003-1894-984X"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xutao Li","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China","School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0003-1894-984X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002523892","display_name":"Yunming Ye","orcid":"https://orcid.org/0000-0002-1807-8581"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunming Ye","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China","School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-1807-8581","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086115549","display_name":"Shanshan Feng","orcid":"https://orcid.org/0000-0002-6161-9232"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanshan Feng","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China","School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-6161-9232","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1725,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.92734082,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"45","issue":"10","first_page":"12250","last_page":"12268"},"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":0.9993000030517578,"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":0.9993000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7488168478012085},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7071114778518677},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6581375598907471},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6358908414840698},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.5449804067611694},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5431787371635437},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5422206521034241},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5103141665458679},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46086347103118896},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.42390677332878113},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.15399417281150818}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7488168478012085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7071114778518677},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6581375598907471},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6358908414840698},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.5449804067611694},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5431787371635437},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5422206521034241},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5103141665458679},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46086347103118896},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.42390677332878113},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.15399417281150818},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tpami.2023.3277881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3277881","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:37216260","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37216260","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":null},{"id":"pmh:oai:arXiv.org:2108.05010","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2108.05010","pdf_url":"https://arxiv.org/pdf/2108.05010","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"doi:10.48550/arxiv.2108.05010","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2108.05010","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2108.05010","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2108.05010","pdf_url":"https://arxiv.org/pdf/2108.05010","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2874901904","display_name":null,"funder_award_id":"62272130","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6465415734","display_name":"\u65f6\u5e8f\u591a\u5173\u7cfb\u5c5e\u6027\u7f51\u7edc\u7684\u793e\u533a\u53d1\u73b0\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61972111","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":148,"referenced_works":["https://openalex.org/W1492420801","https://openalex.org/W2038721957","https://openalex.org/W2049633694","https://openalex.org/W2123024445","https://openalex.org/W2128532956","https://openalex.org/W2141350700","https://openalex.org/W2194775991","https://openalex.org/W2250539671","https://openalex.org/W2289084343","https://openalex.org/W2398118205","https://openalex.org/W2561529111","https://openalex.org/W2565684601","https://openalex.org/W2601450892","https://openalex.org/W2604463754","https://openalex.org/W2604763608","https://openalex.org/W2744242754","https://openalex.org/W2753433947","https://openalex.org/W2775651131","https://openalex.org/W2787035179","https://openalex.org/W2787705367","https://openalex.org/W2808138519","https://openalex.org/W2883124384","https://openalex.org/W2894906112","https://openalex.org/W2895671740","https://openalex.org/W2899941694","https://openalex.org/W2906799156","https://openalex.org/W2943605315","https://openalex.org/W2944378183","https://openalex.org/W2945973131","https://openalex.org/W2946757877","https://openalex.org/W2948171095","https://openalex.org/W2949269099","https://openalex.org/W2962723986","https://openalex.org/W2962799101","https://openalex.org/W2963070905","https://openalex.org/W2963341924","https://openalex.org/W2963486920","https://openalex.org/W2963499153","https://openalex.org/W2963741406","https://openalex.org/W2964105864","https://openalex.org/W2964206659","https://openalex.org/W2970733445","https://openalex.org/W2970941416","https://openalex.org/W2971035910","https://openalex.org/W2971857369","https://openalex.org/W2972954809","https://openalex.org/W2979300990","https://openalex.org/W2979747407","https://openalex.org/W2980347982","https://openalex.org/W2982247743","https://openalex.org/W2983166023","https://openalex.org/W2988501586","https://openalex.org/W2989701968","https://openalex.org/W2991559096","https://openalex.org/W2993323518","https://openalex.org/W2995049146","https://openalex.org/W2995360785","https://openalex.org/W2995589713","https://openalex.org/W2995892679","https://openalex.org/W2997405397","https://openalex.org/W2998468066","https://openalex.org/W2999659281","https://openalex.org/W3010805239","https://openalex.org/W3012209922","https://openalex.org/W3012255272","https://openalex.org/W3020429927","https://openalex.org/W3025160850","https://openalex.org/W3030509278","https://openalex.org/W3034587791","https://openalex.org/W3034637015","https://openalex.org/W3034942609","https://openalex.org/W3035302051","https://openalex.org/W3035531117","https://openalex.org/W3080996465","https://openalex.org/W3081382462","https://openalex.org/W3087020912","https://openalex.org/W3089555680","https://openalex.org/W3093194982","https://openalex.org/W3094724482","https://openalex.org/W3096805028","https://openalex.org/W3099486271","https://openalex.org/W3099495704","https://openalex.org/W3101665059","https://openalex.org/W3108878460","https://openalex.org/W3110214837","https://openalex.org/W3122520870","https://openalex.org/W3139143706","https://openalex.org/W3143107425","https://openalex.org/W3146009660","https://openalex.org/W3153385943","https://openalex.org/W3156129331","https://openalex.org/W3159316301","https://openalex.org/W3165094210","https://openalex.org/W3165838961","https://openalex.org/W3173788280","https://openalex.org/W3175609671","https://openalex.org/W3176276396","https://openalex.org/W3181932393","https://openalex.org/W3182874523","https://openalex.org/W3200930622","https://openalex.org/W3205249428","https://openalex.org/W4225496262","https://openalex.org/W4281556647","https://openalex.org/W4285783838","https://openalex.org/W4287624180","https://openalex.org/W4287663929","https://openalex.org/W4288335845","https://openalex.org/W4288356697","https://openalex.org/W4288573225","https://openalex.org/W4293412117","https://openalex.org/W4293732058","https://openalex.org/W4294170691","https://openalex.org/W4300860215","https://openalex.org/W6678470764","https://openalex.org/W6682691769","https://openalex.org/W6683305289","https://openalex.org/W6717697761","https://openalex.org/W6735236233","https://openalex.org/W6736057607","https://openalex.org/W6743755419","https://openalex.org/W6744066916","https://openalex.org/W6748284727","https://openalex.org/W6748555532","https://openalex.org/W6751281049","https://openalex.org/W6752232076","https://openalex.org/W6752873305","https://openalex.org/W6755584472","https://openalex.org/W6755766585","https://openalex.org/W6757887500","https://openalex.org/W6758126075","https://openalex.org/W6759807521","https://openalex.org/W6762744983","https://openalex.org/W6763049584","https://openalex.org/W6763120227","https://openalex.org/W6763320462","https://openalex.org/W6763641750","https://openalex.org/W6767471572","https://openalex.org/W6767500435","https://openalex.org/W6767599400","https://openalex.org/W6768230505","https://openalex.org/W6768532476","https://openalex.org/W6771260093","https://openalex.org/W6780205758","https://openalex.org/W6780975210","https://openalex.org/W6782534648","https://openalex.org/W6784924269","https://openalex.org/W6788840927","https://openalex.org/W6791909203"],"related_works":["https://openalex.org/W2381926679","https://openalex.org/W2580650124","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W3122088529","https://openalex.org/W3041320102","https://openalex.org/W2111669074","https://openalex.org/W2085259108","https://openalex.org/W3123087812"],"abstract_inverted_index":{"Few-shot":[0],"learning":[1],"(FSL)":[2],"aims":[3],"to":[4,134,136,154,156,163,206],"recognize":[5],"novel":[6,66,100],"classes":[7,60,67],"with":[8,71,159,214],"few":[9],"examples.":[10],"Pre-training":[11],"based":[12,31,103,174],"methods":[13,217],"effectively":[14],"tackle":[15],"the":[16,28,37,50,54,58,138,165,180,187],"problem":[17],"by":[18,185],"pre-training":[19],"a":[20,99,128,148,172,211],"feature":[21,56,78,87],"extractor":[22,79],"and":[23,118,182,239],"then":[24],"fine-tuning":[25,38,77,86],"it":[26],"through":[27],"nearest":[29],"centroid":[30],"meta-learning.":[32],"However,":[33],"results":[34],"show":[35,223],"that":[36,76,178,224],"step":[39],"makes":[40],"marginal":[41],"improvements.":[42],"In":[43],"this":[44],"paper,":[45],"1)":[46],"we":[47,89,97,169,192],"figure":[48],"out":[49],"reason,":[51],"i.e.,":[52],"in":[53],"pre-trained":[55],"space,":[57],"base":[59],"already":[61],"form":[62],"compact":[63],"clusters":[64],"while":[65],"spread":[68],"as":[69,125,144],"groups":[70],"large":[72],"variances,":[73],"which":[74,202],"implies":[75],"is":[80,132,152],"less":[81],"meaningful;":[82],"2)":[83],"instead":[84],"of":[85],"extractor,":[88],"focus":[90],"on":[91,236],"estimating":[92],"more":[93,229],"representative":[94,120,139],"prototypes.":[95],"Consequently,":[96],"propose":[98],"prototype":[101,149,166,175,197],"completion":[102,150,167,198],"meta-learning":[104],"framework.":[105],"This":[106],"framework":[107],"first":[108],"introduces":[109],"primitive":[110,208],"knowledge":[111],"(i.e.,":[112],"class-level":[113],"part":[114],"or":[115],"attribute":[116],"annotations)":[117],"extracts":[119],"features":[121,140],"for":[122,141,200,210],"seen":[123],"attributes":[124,143],"priors.":[126,146,161],"Second,":[127],"part/attribute":[129],"transfer":[130],"network":[131,151],"designed":[133],"learn":[135,155],"infer":[137],"unseen":[142],"supplementary":[145],"Finally,":[147],"devised":[153],"complete":[157],"prototypes":[158,184],"these":[160],"Moreover,":[162],"avoid":[164],"error,":[168],"further":[170],"develop":[171,194],"Gaussian":[173],"fusion":[176],"strategy":[177],"fuses":[179],"mean-based":[181],"completed":[183],"exploiting":[186],"unlabeled":[188],"samples.":[189],"At":[190],"last,":[191],"also":[193],"an":[195],"economic":[196],"version":[199],"FSL,":[201],"does":[203],"not":[204],"need":[205],"collect":[207],"knowledge,":[209],"fair":[212],"comparison":[213],"existing":[215],"FSL":[216,241],"without":[218],"external":[219],"knowledge.":[220],"Extensive":[221],"experiments":[222],"our":[225],"method:":[226],"i)":[227],"obtains":[228],"accurate":[230],"prototypes;":[231],"ii)":[232],"achieves":[233],"superior":[234],"performance":[235],"both":[237],"inductive":[238],"transductive":[240],"settings.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2021-08-16T00:00:00"}
