{"id":"https://openalex.org/W4402130813","doi":"https://doi.org/10.1109/tmm.2024.3453055","title":"Dual-View Data Hallucination With Semantic Relation Guidance for Few-Shot Image Recognition","display_name":"Dual-View Data Hallucination With Semantic Relation Guidance for Few-Shot Image Recognition","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402130813","doi":"https://doi.org/10.1109/tmm.2024.3453055"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3453055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3453055","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/A5061828638","display_name":"Hefeng Wu","orcid":"https://orcid.org/0000-0002-2132-6515"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hefeng Wu","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2132-6515","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018085140","display_name":"Guangzhi Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangzhi Ye","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ziyang Zhou","orcid":"https://orcid.org/0000-0003-0382-1229"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyang Zhou","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0382-1229","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019111542","display_name":"Ling Tian","orcid":"https://orcid.org/0000-0002-8475-9203"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Tian","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-8475-9203","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100434839","display_name":"Qing Wang","orcid":"https://orcid.org/0000-0002-5478-5662"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100412937","display_name":"Liang Lin","orcid":"https://orcid.org/0000-0003-2248-3755"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Lin","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2248-3755","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5061828638"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":5.3889,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.95052371,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"26","issue":null,"first_page":"11302","last_page":"11315"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9702000021934509,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9702000021934509,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.953499972820282,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9502999782562256,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8315060138702393},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.679391622543335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6469486951828003},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6013034582138062},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5350068211555481},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47079789638519287},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46916016936302185},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.4334799647331238},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18991988897323608}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8315060138702393},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.679391622543335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6469486951828003},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6013034582138062},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5350068211555481},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47079789638519287},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46916016936302185},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.4334799647331238},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18991988897323608},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3453055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3453055","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":[{"display_name":"Reduced inequalities","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G6248067210","display_name":null,"funder_award_id":"2023A1515012845","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G7308144093","display_name":null,"funder_award_id":"62272494","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7519033713","display_name":null,"funder_award_id":"2023A1515011374","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2047643928","https://openalex.org/W2102381086","https://openalex.org/W2108598243","https://openalex.org/W2194321275","https://openalex.org/W2194775991","https://openalex.org/W2625674597","https://openalex.org/W2767566874","https://openalex.org/W2894906112","https://openalex.org/W2896457183","https://openalex.org/W2962858109","https://openalex.org/W2962895018","https://openalex.org/W2963070905","https://openalex.org/W2963078860","https://openalex.org/W2963350370","https://openalex.org/W2963486920","https://openalex.org/W2963960318","https://openalex.org/W2964105864","https://openalex.org/W2964137095","https://openalex.org/W2970204358","https://openalex.org/W2982112268","https://openalex.org/W2995360785","https://openalex.org/W2997591727","https://openalex.org/W3009081299","https://openalex.org/W3016459781","https://openalex.org/W3034312118","https://openalex.org/W3034587791","https://openalex.org/W3035370595","https://openalex.org/W3047669212","https://openalex.org/W3084193526","https://openalex.org/W3087020912","https://openalex.org/W3092600962","https://openalex.org/W3096805028","https://openalex.org/W3106616149","https://openalex.org/W3120494681","https://openalex.org/W3130207513","https://openalex.org/W3142729297","https://openalex.org/W3176049064","https://openalex.org/W3186392065","https://openalex.org/W3189329097","https://openalex.org/W3190450813","https://openalex.org/W3195219609","https://openalex.org/W3205249428","https://openalex.org/W3207409917","https://openalex.org/W3207414121","https://openalex.org/W3208426666","https://openalex.org/W3211737808","https://openalex.org/W3216466215","https://openalex.org/W4283802263","https://openalex.org/W4285287412","https://openalex.org/W4307340220","https://openalex.org/W4312378978","https://openalex.org/W4313010934","https://openalex.org/W4313482657","https://openalex.org/W4319778765","https://openalex.org/W4321608135","https://openalex.org/W4323338370","https://openalex.org/W4379382677","https://openalex.org/W6681968150","https://openalex.org/W6717697761","https://openalex.org/W6736057607","https://openalex.org/W6748284727","https://openalex.org/W6752940074","https://openalex.org/W6753311412","https://openalex.org/W6754725917","https://openalex.org/W6759807521","https://openalex.org/W6760378562","https://openalex.org/W6768851824","https://openalex.org/W6772329248","https://openalex.org/W6773297391","https://openalex.org/W6788808470","https://openalex.org/W6788840927","https://openalex.org/W6790291204","https://openalex.org/W6791353385","https://openalex.org/W6858843747"],"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/W2352553236"],"abstract_inverted_index":{"Learning":[0],"to":[1,36,62,99,142,170,218],"recognize":[2],"novel":[3,40,93,120,140,176],"concepts":[4],"from":[5,126,158,182],"just":[6],"a":[7,92,139,162,175,192,199],"few":[8,23,72,184],"image":[9,106],"samples":[10,118],"is":[11,18,35],"very":[12],"challenging":[13,67],"as":[14,191],"the":[15,22,39,58,71,78,82,172,179,183,189,220,223],"learned":[16],"model":[17],"easily":[19],"overfitted":[20],"on":[21,213],"data":[24,60,102,117,132,145,164],"and":[25,115,152,178,196,208],"results":[26],"in":[27,70,81],"poor":[28],"generalizability.":[29],"One":[30],"promising":[31],"but":[32],"underexplored":[33],"solution":[34],"compensate":[37],"for":[38,104,119],"classes":[41,121],"by":[42,65,146],"generating":[43,112],"plausible":[44],"samples.":[45,74,203],"However,":[46],"most":[47],"existing":[48],"works":[49],"of":[50,77,138,174,202,222],"this":[51,89],"line":[52],"exploit":[53],"visual":[54],"information":[55,80,124],"only,":[56],"rendering":[57],"generated":[59],"easy":[61],"be":[63],"distracted":[64],"some":[66],"factors":[68],"contained":[69],"available":[73],"Being":[75],"aware":[76],"semantic":[79,97,149,154],"textual":[83],"modality":[84],"that":[85,95],"reflects":[86],"human":[87],"concepts,":[88],"work":[90],"proposes":[91],"framework":[94,110],"exploits":[96,167],"relations":[98],"guide":[100],"dual-view":[101],"hallucination":[103,133,165],"few-shot":[105,216],"recognition.":[107],"The":[108],"proposed":[109,224],"enables":[111,197],"more":[113,193],"diverse":[114],"reasonable":[116],"through":[122],"effective":[123],"transfer":[125],"base":[127,159],"classes.":[128,160],"Specifically,":[129],"an":[130],"instance-view":[131],"module":[134,166],"hallucinates":[135],"each":[136],"sample":[137,195],"class":[141,177],"generate":[143],"new":[144],"employing":[147],"local":[148],"correlated":[150],"attention":[151],"global":[153],"feature":[155],"fusion":[156],"derived":[157],"Meanwhile,":[161],"prototype-view":[163],"semantic-aware":[168],"measure":[169],"estimate":[171],"prototype":[173,190],"associated":[180],"distribution":[181],"samples,":[185],"which":[186],"thereby":[187],"harvests":[188],"stable":[194],"resampling":[198],"large":[200],"number":[201],"We":[204],"conduct":[205],"extensive":[206],"experiments":[207],"comparisons":[209],"with":[210],"state-of-the-art":[211],"methods":[212],"several":[214],"popular":[215],"benchmarks":[217],"verify":[219],"effectiveness":[221],"framework.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2026-05-26T13:28:51.108037","created_date":"2025-10-10T00:00:00"}
