{"id":"https://openalex.org/W4405304162","doi":"https://doi.org/10.1109/tifs.2024.3516540","title":"Dualistic Disentangled Meta-Learning Model for Generalizable Person Re-Identification","display_name":"Dualistic Disentangled Meta-Learning Model for Generalizable Person Re-Identification","publication_year":2024,"publication_date":"2024-12-12","ids":{"openalex":"https://openalex.org/W4405304162","doi":"https://doi.org/10.1109/tifs.2024.3516540"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2024.3516540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2024.3516540","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Information Forensics and Security","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/A5057502807","display_name":"Jia Sun","orcid":"https://orcid.org/0000-0002-9188-7000"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jia Sun","raw_affiliation_strings":["School of Electronic Information Engineering, Beijing Jiaotong University, Beijing, China","School of Electronic information engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Electronic information engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100653133","display_name":"Yanfeng Li","orcid":"https://orcid.org/0000-0002-8441-7721"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfeng Li","raw_affiliation_strings":["School of Electronic Information Engineering, Beijing Jiaotong University, Beijing, China","School of Electronic information engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Electronic information engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053337524","display_name":"L. Chen","orcid":"https://orcid.org/0009-0000-3162-7541"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luyifu Chen","raw_affiliation_strings":["School of Electronic Information Engineering, Beijing Jiaotong University, Beijing, China","School of Electronic information engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Electronic information engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073025681","display_name":"Houjin Chen","orcid":"https://orcid.org/0000-0002-9247-8495"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Houjin Chen","raw_affiliation_strings":["School of Electronic Information Engineering, Beijing Jiaotong University, Beijing, China","School of Electronic information engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Electronic information engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101907589","display_name":"Minjun Wang","orcid":"https://orcid.org/0000-0003-3528-7016"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minjun Wang","raw_affiliation_strings":["School of Electronic Information Engineering, Beijing Jiaotong University, Beijing, China","School of Electronic information engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Electronic information engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5057502807"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":1.2999,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.82492281,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"20","issue":null,"first_page":"1106","last_page":"1118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9700000286102295,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9700000286102295,"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"}},{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9189000129699707,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7716450691223145},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6883045434951782},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4859565496444702},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.42929455637931824},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41765856742858887},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32730305194854736},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.13537129759788513}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7716450691223145},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6883045434951782},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4859565496444702},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.42929455637931824},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41765856742858887},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32730305194854736},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.13537129759788513},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2024.3516540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2024.3516540","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1301083603","display_name":null,"funder_award_id":"4232012","funder_id":"https://openalex.org/F4320334977","funder_display_name":"Beijing Municipal Natural Science Foundation"},{"id":"https://openalex.org/G5857765190","display_name":null,"funder_award_id":"4244068","funder_id":"https://openalex.org/F4320334977","funder_display_name":"Beijing Municipal Natural Science Foundation"},{"id":"https://openalex.org/G731965947","display_name":null,"funder_award_id":"62172029","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"},{"id":"https://openalex.org/F4320334977","display_name":"Beijing Municipal Natural Science Foundation","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1982925187","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2584637367","https://openalex.org/W2585635281","https://openalex.org/W2598634450","https://openalex.org/W2752782242","https://openalex.org/W2963047834","https://openalex.org/W2979931389","https://openalex.org/W2998792609","https://openalex.org/W3034727830","https://openalex.org/W3040483885","https://openalex.org/W3047814667","https://openalex.org/W3095799614","https://openalex.org/W3096285474","https://openalex.org/W3136038792","https://openalex.org/W3166601111","https://openalex.org/W3173909755","https://openalex.org/W3174337559","https://openalex.org/W3175956495","https://openalex.org/W3177182473","https://openalex.org/W3179233662","https://openalex.org/W3188606522","https://openalex.org/W4221140532","https://openalex.org/W4283812375","https://openalex.org/W4285228203","https://openalex.org/W4292258663","https://openalex.org/W4292976131","https://openalex.org/W4308307850","https://openalex.org/W4312429278","https://openalex.org/W4312533058","https://openalex.org/W4312633566","https://openalex.org/W4312722479","https://openalex.org/W4312840286","https://openalex.org/W4312842598","https://openalex.org/W4313192742","https://openalex.org/W4322576511","https://openalex.org/W4327950385","https://openalex.org/W4362496215","https://openalex.org/W4364379860","https://openalex.org/W4365483549","https://openalex.org/W4377235412","https://openalex.org/W4386799357","https://openalex.org/W4387010854","https://openalex.org/W4387122317","https://openalex.org/W4388341955","https://openalex.org/W4389264922","https://openalex.org/W4389890926","https://openalex.org/W4390873652","https://openalex.org/W6631190155","https://openalex.org/W6736057607","https://openalex.org/W6789380839","https://openalex.org/W6796913975","https://openalex.org/W6804733377","https://openalex.org/W6810790459","https://openalex.org/W6840458696","https://openalex.org/W6855442897"],"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":{"Person":[0],"re-identification":[1,19],"(re-ID)":[2],"is":[3,33,47,130,137,159,243,255],"a":[4,68,96,110,153,192,238,251],"research":[5],"hotspot":[6],"in":[7,67,85,221],"the":[8,21,26,36,53,64,78,86,165,187,205,210,222,229,259,267,271,300],"field":[9],"of":[10,102,132,186,248,270],"intelligent":[11],"monitoring":[12],"and":[13,83,105,108,152,172,189,250,264],"security.":[14],"Domain":[15],"generalizable":[16],"(DG)":[17],"person":[18,43,81,184],"transfers":[20],"trained":[22],"model":[23,272,293],"directly":[24],"to":[25,35,51,91,203,233,299],"unseen":[27,87,223],"target":[28,88],"domain":[29,224],"for":[30,138,160],"testing,":[31],"which":[32,141,163],"closer":[34],"practical":[37],"application":[38],"than":[39],"supervised":[40],"or":[41,74],"unsupervised":[42],"re-ID.":[44],"Meta-learning":[45],"strategy":[46,104],"an":[48,148],"effective":[49],"way":[50],"solve":[52],"DG":[54,59],"problem,":[55,93],"nevertheless,":[56],"existing":[57],"meta-learning-based":[58],"re-ID":[60],"methods":[61],"mainly":[62],"simulates":[63],"test":[65],"process":[66],"single":[69],"aspect":[70],"such":[71],"as":[72],"identity":[73,149,179],"style,":[75],"while":[76],"ignoring":[77],"completely":[79],"different":[80,183],"identities":[82,185],"styles":[84],"domain.":[89],"As":[90],"this":[92],"we":[94,176],"consider":[95],"double":[97],"disentangling":[98,134,240],"from":[99],"two":[100,133,217],"levels":[101],"training":[103],"feature":[106,161,239],"learning,":[107],"propose":[109],"novel":[111],"dualistic":[112],"disentangled":[113,252],"meta-learning":[114,249],"(D<inline-formula":[115],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[116,124,287],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[117,125,288],"<tex-math":[118,126,289],"notation=\"LaTeX\">$^{\\mathbf":[119,127,290],"{2}}$":[120,128,291],"</tex-math></inline-formula>ML)":[121],"model.":[122],"D<inline-formula":[123,286],"</tex-math></inline-formula>ML":[129,292],"composed":[131],"stages,":[135,218],"one":[136],"learning":[139],"strategy,":[140],"spreads":[142],"one-stage":[143],"meta-test":[144,150,155,180,207,230],"into":[145,169],"two-stage,":[146],"including":[147],"stage":[151,181,208,247],"style":[154,194,206],"stage.":[156],"The":[157],"other":[158],"representation,":[162],"decouples":[164],"shallow":[166],"layer":[167],"features":[168,171,263],"identity-related":[170,236,262],"style-related":[173,265],"features.":[174],"Specifically,":[175],"first":[177],"conduct":[178,204],"on":[182,199,209,279],"images,":[188],"then":[190],"employ":[191],"feature-level":[193],"perturbation":[195],"module":[196,241],"(SPM)":[197],"based":[198],"Fourier":[200],"spectrum":[201],"transformation":[202],"image":[211],"with":[212],"diversified":[213],"styles.":[214],"With":[215],"these":[216],"abundant":[219],"changes":[220],"can":[225,273],"be":[226,274],"simulated":[227],"during":[228],"phase.":[231],"Besides,":[232],"learn":[234],"more":[235],"features,":[237,266],"(FDM)":[242],"inserted":[244],"at":[245],"each":[246],"triplet":[253],"loss":[254],"developed.":[256],"Through":[257],"constraining":[258],"relationship":[260],"between":[261],"generalization":[268,296],"ability":[269],"further":[275],"improved.":[276],"Experimental":[277],"results":[278],"four":[280],"public":[281],"datasets":[282],"show":[283],"that":[284],"our":[285],"achieves":[294],"superior":[295],"performance":[297],"compared":[298],"state-of-the-art":[301],"methods.":[302]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}