{"id":"https://openalex.org/W4304092659","doi":"https://doi.org/10.1145/3503161.3547995","title":"ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning","display_name":"ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4304092659","doi":"https://doi.org/10.1145/3503161.3547995"},"language":"en","primary_location":{"id":"doi:10.1145/3503161.3547995","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3547995","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2210.05280","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072248915","display_name":"Yuqian Fu","orcid":"https://orcid.org/0000-0002-0412-5500"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuqian Fu","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043806438","display_name":"Yu Xie","orcid":"https://orcid.org/0000-0002-1465-4799"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Xie","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084959430","display_name":"Yanwei Fu","orcid":"https://orcid.org/0000-0002-6595-6893"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanwei Fu","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373492","display_name":"Jingjing Chen","orcid":"https://orcid.org/0000-0003-3148-264X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Chen","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047962986","display_name":"Yu\u2013Gang Jiang","orcid":"https://orcid.org/0000-0002-1907-8567"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Gang Jiang","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5072248915"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":2.0942,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.89298776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"6609","last_page":"6617"},"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"}},{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9825999736785889,"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":0.9442999958992004,"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/shot","display_name":"Shot (pellet)","score":0.7536290884017944},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.71048903465271},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6959750652313232},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4549753665924072},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.42765089869499207},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08954587578773499},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.058652520179748535}],"concepts":[{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.7536290884017944},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.71048903465271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6959750652313232},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4549753665924072},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.42765089869499207},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08954587578773499},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.058652520179748535},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3503161.3547995","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3547995","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2210.05280","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2210.05280","pdf_url":"https://arxiv.org/pdf/2210.05280","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":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2210.05280","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2210.05280","pdf_url":"https://arxiv.org/pdf/2210.05280","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":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"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":61,"referenced_works":["https://openalex.org/W1797268635","https://openalex.org/W2108598243","https://openalex.org/W2118978333","https://openalex.org/W2138011018","https://openalex.org/W2194775991","https://openalex.org/W2440599146","https://openalex.org/W2547875792","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2732026016","https://openalex.org/W2753160622","https://openalex.org/W2764024122","https://openalex.org/W2767106145","https://openalex.org/W2786711153","https://openalex.org/W2797977484","https://openalex.org/W2921393178","https://openalex.org/W2963212406","https://openalex.org/W2963341924","https://openalex.org/W2963741406","https://openalex.org/W2963749936","https://openalex.org/W2964105864","https://openalex.org/W2964112702","https://openalex.org/W2970941190","https://openalex.org/W2989698446","https://openalex.org/W2995197345","https://openalex.org/W3001411605","https://openalex.org/W3034601242","https://openalex.org/W3034818206","https://openalex.org/W3035370595","https://openalex.org/W3092900959","https://openalex.org/W3093455342","https://openalex.org/W3096121526","https://openalex.org/W3097642927","https://openalex.org/W3106638601","https://openalex.org/W3110608229","https://openalex.org/W3126272270","https://openalex.org/W3158730736","https://openalex.org/W3159907343","https://openalex.org/W3177498557","https://openalex.org/W3184083006","https://openalex.org/W3187607409","https://openalex.org/W3189329097","https://openalex.org/W3189656202","https://openalex.org/W3202087803","https://openalex.org/W3203015511","https://openalex.org/W3207659901","https://openalex.org/W4226017838","https://openalex.org/W4226267130","https://openalex.org/W4226409656","https://openalex.org/W4238214874","https://openalex.org/W4280538209","https://openalex.org/W4283801994","https://openalex.org/W4285295719","https://openalex.org/W4287119986","https://openalex.org/W4287197019","https://openalex.org/W4287639816","https://openalex.org/W4293412117","https://openalex.org/W4293450887","https://openalex.org/W4312244159","https://openalex.org/W4313052556","https://openalex.org/W6677954473"],"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":{"Recently,":[0],"Cross-Domain":[1],"Few-Shot":[2,10],"Learning":[3,11],"(CD-FSL)":[4],"which":[5,80,145],"aims":[6],"at":[7,258],"addressing":[8],"the":[9,28,32,53,113,118,125,137,160,163,169,177,215,248],"(FSL)":[12],"problem":[13,116],"across":[14],"different":[15,199],"domains":[16],"has":[17],"attracted":[18],"rising":[19],"attention.":[20],"The":[21],"core":[22],"challenge":[23],"of":[24,139,250],"CD-FSL":[25,45,63,72],"lies":[26],"in":[27,88,92,152,241],"domain":[29,55,78,155,200,208,240],"gap":[30,56],"between":[31,117],"source":[33,119,161],"and":[34,84,100,124,162,254],"novel":[35,104,207,227],"target":[36,48,77,127,165],"datasets.":[37],"Though":[38],"many":[39],"attempts":[40],"have":[41],"been":[42],"made":[43],"for":[44,61],"without":[46],"any":[47],"data":[49,79,114,120,128],"during":[50],"model":[51,135,195,217],"training,":[52],"huge":[54],"makes":[57],"it":[58],"still":[59],"hard":[60],"existing":[62],"methods":[64],"to":[65,97,111,149,175,182,191,213,232,236],"achieve":[66],"very":[67],"satisfactory":[68],"results.":[69],"Alternatively,":[70],"learning":[71],"models":[73,144,255],"with":[74,121,129],"few":[75],"labeled":[76],"is":[81,86,173,223],"more":[82],"realistic":[83],"promising":[85],"advocated":[87],"previous":[89],"work.":[90],"Thus,":[91],"this":[93,98],"paper,":[94],"we":[95,132,203],"stick":[96],"setting":[99],"technically":[101],"contribute":[102],"a":[103,183,188,206,226,242],"Multi-Expert":[105],"Domain":[106],"Decompositional":[107],"Network":[108],"(ME-D2N).":[109],"Concretely,":[110],"solve":[112],"imbalance":[115],"sufficient":[122],"examples":[123],"auxiliary":[126,164],"limited":[130],"examples,":[131],"build":[133],"our":[134,193,251],"under":[136],"umbrella":[138],"multi-expert":[140],"learning.":[141],"Two":[142],"teacher":[143],"can":[146],"be":[147,150],"considered":[148],"experts":[151],"their":[153],"corresponding":[154],"are":[156,256],"first":[157],"trained":[158],"on":[159],"sets,":[166],"respectively.":[167],"Then,":[168],"knowledge":[170,178,197],"distillation":[171],"technique":[172],"introduced":[174],"transfer":[176],"from":[179,198],"two":[180,219],"teachers":[181,201],"unified":[184],"student":[185,194,216],"model.":[186],"Taking":[187],"step":[189],"further,":[190],"help":[192],"learn":[196],"simultaneously,":[202],"further":[204],"present":[205],"decomposition":[209],"module":[210],"that":[211,230],"learns":[212,231],"decompose":[214],"into":[218],"domain-related":[220],"sub-parts.":[221],"This":[222],"achieved":[224],"by":[225],"domain-specific":[228],"gate":[229],"assign":[233],"each":[234],"filter":[235],"only":[237],"one":[238],"specific":[239],"learnable":[243],"way.":[244],"Extensive":[245],"experiments":[246],"demonstrate":[247],"effectiveness":[249],"method.":[252],"Codes":[253],"available":[257],"https://github.com/lovelyqian/ME-D2N\\_for\\_CDFSL.":[259]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
