{"id":"https://openalex.org/W4414079449","doi":"https://doi.org/10.1109/tmm.2025.3604977","title":"Like Humans to Few-Shot Learning Through Knowledge Permeation of Visual and Language","display_name":"Like Humans to Few-Shot Learning Through Knowledge Permeation of Visual and Language","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414079449","doi":"https://doi.org/10.1109/tmm.2025.3604977"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2025.3604977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3604977","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5029861746","display_name":"Yuyu Jia","orcid":"https://orcid.org/0009-0002-2303-8995"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuyu Jia","raw_affiliation_strings":["School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x0027;an, Shaanxi, P. R. China"],"raw_orcid":"https://orcid.org/0009-0002-2303-8995","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x0027;an, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qing Zhou","orcid":"https://orcid.org/0009-0004-3300-0805"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Zhou","raw_affiliation_strings":["School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x0027;an, Shaanxi, P. R. China"],"raw_orcid":"https://orcid.org/0009-0004-3300-0805","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x0027;an, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001848378","display_name":"Junyu Gao","orcid":"https://orcid.org/0000-0001-6000-8168"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyu Gao","raw_affiliation_strings":["School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x0027;an, Shaanxi, P. R. China"],"raw_orcid":"https://orcid.org/0000-0001-6000-8168","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x0027;an, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100429992","display_name":"Qiang Li","orcid":"https://orcid.org/0000-0002-6736-3389"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Li","raw_affiliation_strings":["School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x0027;an, Shaanxi, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-6736-3389","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x0027;an, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100341321","display_name":"Qi Wang","orcid":"https://orcid.org/0000-0002-7028-4956"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Wang","raw_affiliation_strings":["School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x0027;an, Shaanxi, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-7028-4956","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x0027;an, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":15.1434,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.98717782,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"27","issue":null,"first_page":"7905","last_page":"7916"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13844","display_name":"Higher Education Learning Practices","score":0.5623000264167786,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13844","display_name":"Higher Education Learning Practices","score":0.5623000264167786,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10162","display_name":"Online and Blended Learning","score":0.5343999862670898,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.7179999947547913},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6973999738693237},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.652899980545044},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6187000274658203},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5755000114440918},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.498199999332428},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.45739999413490295}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8500999808311462},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.7179999947547913},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6973999738693237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6890000104904175},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.652899980545044},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6187000274658203},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5755000114440918},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.498199999332428},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48420000076293945},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.45739999413490295},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.44119998812675476},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.38659998774528503},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37130001187324524},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3547999858856201},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.33340001106262207},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.27810001373291016},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.26159998774528503},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2025.3604977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3604977","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1964179093","display_name":null,"funder_award_id":"U21B2041","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4030169532","display_name":null,"funder_award_id":"62301385","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5992145127","display_name":null,"funder_award_id":"62471394","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":52,"referenced_works":["https://openalex.org/W1933349210","https://openalex.org/W2250539671","https://openalex.org/W2896457183","https://openalex.org/W2962845008","https://openalex.org/W2963070905","https://openalex.org/W2963800628","https://openalex.org/W2970641574","https://openalex.org/W2982247743","https://openalex.org/W2994633389","https://openalex.org/W3009081299","https://openalex.org/W3012255272","https://openalex.org/W3030509278","https://openalex.org/W3034312118","https://openalex.org/W3094724482","https://openalex.org/W3106616149","https://openalex.org/W3108975329","https://openalex.org/W3120637139","https://openalex.org/W3174159092","https://openalex.org/W3195219609","https://openalex.org/W3197005357","https://openalex.org/W3197599296","https://openalex.org/W3198377975","https://openalex.org/W3205249428","https://openalex.org/W3208426666","https://openalex.org/W3211144631","https://openalex.org/W4214608919","https://openalex.org/W4214669216","https://openalex.org/W4214807529","https://openalex.org/W4221161731","https://openalex.org/W4312232143","https://openalex.org/W4312310776","https://openalex.org/W4312430245","https://openalex.org/W4312547826","https://openalex.org/W4312823484","https://openalex.org/W4313010934","https://openalex.org/W4313034431","https://openalex.org/W4323338370","https://openalex.org/W4382999123","https://openalex.org/W4384162202","https://openalex.org/W4386065561","https://openalex.org/W4386065712","https://openalex.org/W4386076681","https://openalex.org/W4386362931","https://openalex.org/W4390872614","https://openalex.org/W4390874276","https://openalex.org/W4393147864","https://openalex.org/W4396214921","https://openalex.org/W4401567221","https://openalex.org/W4402130813","https://openalex.org/W4402754281","https://openalex.org/W4402979520","https://openalex.org/W4404056755"],"related_works":["https://openalex.org/W2497720472","https://openalex.org/W4292659306","https://openalex.org/W3044321615","https://openalex.org/W2806221744","https://openalex.org/W2326937258","https://openalex.org/W394267150","https://openalex.org/W2773965352","https://openalex.org/W4294892107","https://openalex.org/W2357748469","https://openalex.org/W2392917037"],"abstract_inverted_index":{"Few-shot":[0],"learning":[1],"aims":[2],"to":[3,10,45,61],"generalize":[4],"the":[5,47,95,114,118,124,135,147,161,165],"recognizer":[6],"from":[7],"seen":[8],"categories":[9],"an":[11,92],"entirely":[12],"novel":[13,33],"scenario.":[14],"With":[15],"only":[16],"a":[17,40,66,80,85,104,157],"few":[18],"support":[19],"samples,":[20],"several":[21],"advanced":[22],"methods":[23,155],"initially":[24],"introduce":[25],"class":[26,81],"names":[27],"as":[28],"prior":[29],"knowledge":[30,111],"for":[31],"identifying":[32],"classes.":[34],"However,":[35],"obstacles":[36],"still":[37],"impede":[38],"achieving":[39],"comprehensive":[41],"understanding":[42],"of":[43,50,99,120,137,150],"how":[44],"harness":[46],"mutual":[48],"advantages":[49],"visual":[51],"and":[52],"textual":[53],"knowledge.":[54],"In":[55],"this":[56,63],"paper,":[57],"we":[58,127],"set":[59],"out":[60],"fill":[62],"gap":[64],"via":[65],"coherent":[67],"Bidirectional":[68],"Knowledge":[69],"Permeation":[70],"strategy":[71],"called":[72],"BiKop,":[73,151],"which":[74],"is":[75],"grounded":[76],"in":[77,160],"human":[78],"intuition:":[79],"name":[82],"description":[83],"offers":[84],"more":[86],"<italic":[87,96,170],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[88,97,171],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">general</i>":[89],"representation,":[90],"whereas":[91],"image":[93],"captures":[94],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">specificity</i>":[98],"individuals.":[100],"BiKop":[101],"primarily":[102],"establishes":[103],"hierarchical":[105],"joint":[106,121],"general-specific":[107],"representation":[108,122],"through":[109],"bidirectional":[110],"permeation.":[112],"On":[113],"other":[115],"hand,":[116],"considering":[117],"bias":[119],"towards":[123],"base":[125],"set,":[126],"disentangle":[128],"base-class-relevant":[129],"semantics":[130],"during":[131],"training,":[132],"thereby":[133],"alleviating":[134],"suppression":[136],"potential":[138],"novel-class-relevant":[139],"information.":[140],"Experiments":[141],"on":[142,169],"four":[143],"challenging":[144],"benchmarks":[145],"demonstrate":[146],"remarkable":[148],"superiority":[149],"particularly":[152],"outperforming":[153],"previous":[154],"by":[156,167],"substantial":[158],"margin":[159],"1-shot":[162],"setting":[163],"(improving":[164],"accuracy":[166],"7.58%":[168],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">mini</i>ImageNet).":[172]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
