{"id":"https://openalex.org/W4405754871","doi":"https://doi.org/10.1109/tmm.2024.3521665","title":"Prototype Alignment With Dedicated Experts for Test-Agnostic Long-Tailed Recognition","display_name":"Prototype Alignment With Dedicated Experts for Test-Agnostic Long-Tailed Recognition","publication_year":2024,"publication_date":"2024-12-24","ids":{"openalex":"https://openalex.org/W4405754871","doi":"https://doi.org/10.1109/tmm.2024.3521665"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3521665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3521665","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/A5100767015","display_name":"Chen Guo","orcid":"https://orcid.org/0000-0002-2230-8511"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chen Guo","raw_affiliation_strings":["Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, College of Physics and Information Engineering, Fuzhou University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, College of Physics and Information Engineering, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016217185","display_name":"Weiling Chen","orcid":"https://orcid.org/0000-0002-1400-1659"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiling Chen","raw_affiliation_strings":["Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, College of Physics and Information Engineering, Fuzhou University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, College of Physics and Information Engineering, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101599930","display_name":"Aiping Huang","orcid":"https://orcid.org/0000-0002-6354-9039"},"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":"Aiping Huang","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057108758","display_name":"Tiesong Zhao","orcid":"https://orcid.org/0000-0002-7497-8883"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiesong Zhao","raw_affiliation_strings":["Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, College of Physics and Information Engineering, Fuzhou University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, College of Physics and Information Engineering, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100767015"],"corresponding_institution_ids":["https://openalex.org/I80947539"],"apc_list":null,"apc_paid":null,"fwci":1.366,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.85169512,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"27","issue":null,"first_page":"455","last_page":"465"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.7671999931335449,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.7671999931335449,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.7560999989509583,"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":0.8341085910797119},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.5113241076469421},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4875568747520447},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4008641242980957},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3611387610435486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8341085910797119},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.5113241076469421},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4875568747520447},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4008641242980957},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3611387610435486},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3521665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3521665","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":[{"id":"https://metadata.un.org/sdg/10","score":0.44999998807907104,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G162953625","display_name":null,"funder_award_id":"61901119","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":51,"referenced_works":["https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2732026016","https://openalex.org/W2797977484","https://openalex.org/W2949736877","https://openalex.org/W2963691377","https://openalex.org/W2964111476","https://openalex.org/W2982157312","https://openalex.org/W3035552357","https://openalex.org/W3096121526","https://openalex.org/W3113047382","https://openalex.org/W3125815192","https://openalex.org/W3158299003","https://openalex.org/W3166596953","https://openalex.org/W3174366534","https://openalex.org/W3176474016","https://openalex.org/W3177200443","https://openalex.org/W3202087803","https://openalex.org/W4214718285","https://openalex.org/W4226426325","https://openalex.org/W4285295719","https://openalex.org/W4312244159","https://openalex.org/W4312702685","https://openalex.org/W4312866014","https://openalex.org/W4312986563","https://openalex.org/W4382450293","https://openalex.org/W4383899699","https://openalex.org/W4385695913","https://openalex.org/W4386083102","https://openalex.org/W4386523254","https://openalex.org/W4387587692","https://openalex.org/W4390873567","https://openalex.org/W4390874449","https://openalex.org/W4391468101","https://openalex.org/W4392122189","https://openalex.org/W4393156735","https://openalex.org/W4396941522","https://openalex.org/W6638523607","https://openalex.org/W6684191040","https://openalex.org/W6764733053","https://openalex.org/W6768920361","https://openalex.org/W6777265123","https://openalex.org/W6780793664","https://openalex.org/W6780957418","https://openalex.org/W6782914715","https://openalex.org/W6784097300","https://openalex.org/W6787972765","https://openalex.org/W6790859549","https://openalex.org/W6810308849","https://openalex.org/W6844194202","https://openalex.org/W6845582434"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Unlike":[0],"vanilla":[1,165],"long-tailed":[2,16,72,151,168],"recognition":[3,17,152],"trains":[4],"on":[5,84,149],"imbalanced":[6],"data":[7],"but":[8],"assumes":[9],"a":[10,67,92],"uniform":[11],"test":[12,22,31,77,85,156],"class":[13,23,144],"distribution,":[14],"test-agnostic":[15,71,167],"aims":[18],"to":[19],"handle":[20],"arbitrary":[21],"distributions.":[24,157],"Existing":[25],"methods":[26],"require":[27],"prior":[28],"knowledge":[29,121],"of":[30],"sets":[32],"for":[33,70,100,112,123],"post-adjustment":[34],"through":[35],"multi-stage":[36],"training,":[37],"resulting":[38],"in":[39,53,163],"static":[40],"decisions":[41],"at":[42,79,115],"the":[43,80,89,98,142],"dataset-level.":[44],"This":[45],"pipeline":[46],"overlooks":[47],"instance":[48,139],"diversity":[49],"and":[50,166],"is":[51],"impractical":[52],"real":[54],"situations.":[55],"In":[56],"this":[57],"work,":[58],"we":[59],"introduce":[60],"Prototype":[61],"Alignment":[62],"with":[63,135,141,154],"Dedicated":[64],"Experts":[65],"(PADE),":[66],"one-stage":[68],"framework":[69],"recognition.":[73,169],"PADE":[74,103,148],"tackles":[75],"unknown":[76],"distributions":[78],"instance-level,":[81],"without":[82],"depending":[83],"priors.":[86],"It":[87],"reformulates":[88],"task":[90],"as":[91],"domain":[93],"detection":[94],"problem,":[95],"dynamically":[96],"adjusting":[97],"model":[99],"each":[101],"instance.":[102],"comprises":[104],"three":[105],"main":[106],"strategies:":[107],"1)":[108],"parameter":[109],"customization":[110],"strategy":[111],"multi-experts":[113],"skilled":[114],"different":[116],"categories;":[117],"2)":[118],"normalized":[119],"target":[120],"distillation":[122],"mutual":[124],"guidance":[125],"among":[126],"experts":[127],"while":[128],"maintaining":[129],"diversity;":[130],"3)":[131],"re-balanced":[132],"compactness":[133],"learning":[134],"momentum":[136],"prototypes,":[137],"promoting":[138],"alignment":[140],"corresponding":[143],"centroid.":[145],"We":[146],"evaluate":[147],"various":[150],"benchmarks":[153],"diverse":[155],"The":[158],"results":[159],"verify":[160],"its":[161],"effectiveness":[162],"both":[164]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}