{"id":"https://openalex.org/W4402436708","doi":"https://doi.org/10.1109/tim.2024.3453330","title":"Invariance Learning Under Uncertainty for Single Domain Generalization Person Re-Identification","display_name":"Invariance Learning Under Uncertainty for Single Domain Generalization Person Re-Identification","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402436708","doi":"https://doi.org/10.1109/tim.2024.3453330"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3453330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3453330","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5089706177","display_name":"W. Peng","orcid":"https://orcid.org/0000-0002-4012-5559"},"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":"Wanru Peng","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and 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 and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and 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 and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","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":false,"raw_author_name":"Jia Sun","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5089706177"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.98,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76910305,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9735000133514404,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.942799985408783,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.702061653137207},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6132453680038452},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5091516375541687},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5088348984718323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47094830870628357},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3444034159183502},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.304442822933197},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.14780259132385254}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.702061653137207},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6132453680038452},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5091516375541687},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5088348984718323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47094830870628357},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3444034159183502},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.304442822933197},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.14780259132385254},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3453330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3453330","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1080229897","display_name":null,"funder_award_id":"4244068","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G2797655586","display_name":null,"funder_award_id":"4232012 of China","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"},{"id":"https://openalex.org/G8398501231","display_name":null,"funder_award_id":"61872030","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/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"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":46,"referenced_works":["https://openalex.org/W1982925187","https://openalex.org/W2204750386","https://openalex.org/W2511791013","https://openalex.org/W2603777577","https://openalex.org/W2605102758","https://openalex.org/W2884366600","https://openalex.org/W3013664265","https://openalex.org/W3034580487","https://openalex.org/W3034727830","https://openalex.org/W3040483885","https://openalex.org/W3084419470","https://openalex.org/W3092883857","https://openalex.org/W3095799614","https://openalex.org/W3103633674","https://openalex.org/W3108417339","https://openalex.org/W3109986233","https://openalex.org/W3126664093","https://openalex.org/W3133542152","https://openalex.org/W3166601111","https://openalex.org/W3175956495","https://openalex.org/W3195923711","https://openalex.org/W4206821701","https://openalex.org/W4214480085","https://openalex.org/W4223899417","https://openalex.org/W4310079729","https://openalex.org/W4312722479","https://openalex.org/W4313192742","https://openalex.org/W4319999896","https://openalex.org/W4360995440","https://openalex.org/W4362496215","https://openalex.org/W4366668491","https://openalex.org/W4379384663","https://openalex.org/W4383503961","https://openalex.org/W4386590365","https://openalex.org/W4389474415","https://openalex.org/W4390481043","https://openalex.org/W4390750671","https://openalex.org/W4399526437","https://openalex.org/W6637131181","https://openalex.org/W6735443497","https://openalex.org/W6748426227","https://openalex.org/W6779928312","https://openalex.org/W6786231105","https://openalex.org/W6799605552","https://openalex.org/W6810790459","https://openalex.org/W6854234460"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Generalizing":[0],"the":[1,20,43,47,87,104,111,136,146,178,198],"person":[2,71,155],"re-identification":[3],"(re-ID)":[4],"algorithms":[5],"to":[6,52,77,122,152,168,204],"unseen":[7,186],"domains":[8],"is":[9,76],"an":[10],"important":[11],"research":[12],"topic":[13],"for":[14,67],"intelligent":[15],"video":[16],"surveillance.":[17],"However,":[18],"during":[19],"training":[21,112],"of":[22,46,106],"single-source":[23,68],"domain":[24,69],"generalization":[25,54,70,79,126,183],"(S-DG),":[26],"some":[27],"difficulties,":[28],"such":[29],"as":[30],"data":[31,34],"limitation,":[32],"single":[33],"style,":[35],"and":[36,62,81,89,117,125,170],"label-specific":[37],"interference,":[38],"can":[39],"not":[40],"only":[41],"influence":[42],"representation":[44],"learning":[45],"model":[48,66,98,179],"but":[49,95],"also":[50],"lead":[51],"poor":[53],"performance.":[55],"This":[56],"article":[57],"presents":[58],"a":[59,93,181],"novel":[60],"label":[61,107],"distribution":[63,147],"uncertainty":[64,88,108,148],"(LDU)":[65],"re-ID.":[72],"The":[73,114,157],"primary":[74],"objective":[75],"improve":[78,171],"abilities":[80],"acquire":[82],"more":[83],"invariance":[84],"representations":[85],"in":[86],"variable":[90],"style.":[91],"Specifically,":[92],"lightweight":[94],"effective":[96],"LDU":[97],"was":[99],"established,":[100],"which":[101],"consistently":[102],"applied":[103,163],"concept":[105],"(LU)":[109],"throughout":[110],"process.":[113],"true":[115],"labels":[116],"cluster-based":[118],"pseudo-labels":[119],"are":[120,150,162],"used":[121,194],"extract":[123],"id-relevant":[124],"information":[127],"from":[128],"features":[129],"that":[130,197],"mix":[131],"with":[132,139],"domain-specific":[133],"information.":[134],"Moreover,":[135],"residual":[137],"blocks":[138],"perturbation":[140],"BN":[141],"layer":[142],"(Res-PBN)":[143],"based":[144],"on":[145,185,191],"(DU)":[149],"employed":[151],"obtain":[153],"style-robust":[154],"representation.":[156],"content":[158],"enhancement":[159],"(CE)":[160],"modules":[161],"after":[164],"each":[165],"CNN":[166],"stage":[167],"refine":[169],"discriminability.":[172],"By":[173],"applying":[174],"these":[175],"proposed":[176,199],"behaviors,":[177],"achieves":[180,201],"better":[182],"performance":[184,203],"target":[187],"domains.":[188],"Extensive":[189],"experiments":[190],"four":[192],"widely":[193],"benchmarks":[195],"demonstrate":[196],"method":[200],"competitive":[202],"state-of-the-art":[205],"methods.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}