{"id":"https://openalex.org/W4360995294","doi":"https://doi.org/10.1109/tcsvt.2023.3261898","title":"Dual Clustering Co-Teaching With Consistent Sample Mining for Unsupervised Person Re-Identification","display_name":"Dual Clustering Co-Teaching With Consistent Sample Mining for Unsupervised Person Re-Identification","publication_year":2023,"publication_date":"2023-03-27","ids":{"openalex":"https://openalex.org/W4360995294","doi":"https://doi.org/10.1109/tcsvt.2023.3261898"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2023.3261898","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3261898","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5082438515","display_name":"Zeqi Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zeqi Chen","raw_affiliation_strings":["National Key Laboratory of Human–Machine Hybrid Augmented Intelligence,National Engineering Research Center for Visual Information and Applications, Institute of Artificial Intelligence and Robotics,Xi’an Jiaotong University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Human–Machine Hybrid Augmented Intelligence,National Engineering Research Center for Visual Information and Applications, Institute of Artificial Intelligence and Robotics,Xi’an Jiaotong University, Xi’an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053072604","display_name":"Zhichao Cui","orcid":"https://orcid.org/0000-0002-6458-7563"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhichao Cui","raw_affiliation_strings":["School of Electronics and Control Engineering, Chang’an University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Control Engineering, Chang’an University, Xi’an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091893246","display_name":"Chi Zhang","orcid":"https://orcid.org/0000-0001-9604-2800"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chi Zhang","raw_affiliation_strings":["National Key Laboratory of Human–Machine Hybrid Augmented Intelligence,National Engineering Research Center for Visual Information and Applications, Institute of Artificial Intelligence and Robotics,Xi’an Jiaotong University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Human–Machine Hybrid Augmented Intelligence,National Engineering Research Center for Visual Information and Applications, Institute of Artificial Intelligence and Robotics,Xi’an Jiaotong University, Xi’an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055004003","display_name":"Jiahuan Zhou","orcid":"https://orcid.org/0000-0002-3301-747X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahuan Zhou","raw_affiliation_strings":["Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108097210","display_name":"Yuehu Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuehu Liu","raw_affiliation_strings":["National Key Laboratory of Human–Machine Hybrid Augmented Intelligence,National Engineering Research Center for Visual Information and Applications, Institute of Artificial Intelligence and Robotics,Xi’an Jiaotong University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Human–Machine Hybrid Augmented Intelligence,National Engineering Research Center for Visual Information and Applications, Institute of Artificial Intelligence and Robotics,Xi’an Jiaotong University, Xi’an, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5082438515"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.5293,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.9595464,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"33","issue":"10","first_page":"5908","last_page":"5920"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9926999807357788,"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":0.9905999898910522,"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":0.8011758327484131},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7972696423530579},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6022228598594666},{"id":"https://openalex.org/keywords/complementarity","display_name":"Complementarity (molecular biology)","score":0.5647943615913391},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5595133304595947},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49861717224121094},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.4854043424129486},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4849946200847626},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4762599468231201},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45361095666885376},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4185448884963989},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.41744959354400635},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4121532440185547},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16072142124176025}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8011758327484131},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7972696423530579},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6022228598594666},{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.5647943615913391},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5595133304595947},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49861717224121094},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.4854043424129486},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4849946200847626},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4762599468231201},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45361095666885376},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4185448884963989},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.41744959354400635},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4121532440185547},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16072142124176025},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"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/tcsvt.2023.3261898","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3261898","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W41482161","https://openalex.org/W1673310716","https://openalex.org/W1875842236","https://openalex.org/W2051224630","https://openalex.org/W2132984949","https://openalex.org/W2150593711","https://openalex.org/W2163605009","https://openalex.org/W2164998314","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2531440880","https://openalex.org/W2584637367","https://openalex.org/W2620673134","https://openalex.org/W2747685395","https://openalex.org/W2798991696","https://openalex.org/W2803187616","https://openalex.org/W2842511635","https://openalex.org/W2904427185","https://openalex.org/W2946882998","https://openalex.org/W2951970475","https://openalex.org/W2953070460","https://openalex.org/W2953684117","https://openalex.org/W2962762068","https://openalex.org/W2963047834","https://openalex.org/W2963160702","https://openalex.org/W2963697299","https://openalex.org/W2963735582","https://openalex.org/W2964292098","https://openalex.org/W2985817549","https://openalex.org/W2990019157","https://openalex.org/W2995852213","https://openalex.org/W2996108195","https://openalex.org/W2996988779","https://openalex.org/W2998493658","https://openalex.org/W3034140121","https://openalex.org/W3034607353","https://openalex.org/W3035070480","https://openalex.org/W3035524453","https://openalex.org/W3035569526","https://openalex.org/W3109976102","https://openalex.org/W3111255625","https://openalex.org/W3158891422","https://openalex.org/W3175474559","https://openalex.org/W3176033671","https://openalex.org/W3184225461","https://openalex.org/W3185727700","https://openalex.org/W3204330270","https://openalex.org/W3205500251","https://openalex.org/W3210967702","https://openalex.org/W3214101408","https://openalex.org/W3214294103","https://openalex.org/W4205914576","https://openalex.org/W4292976131","https://openalex.org/W4297808394","https://openalex.org/W4312666664","https://openalex.org/W4313013512","https://openalex.org/W4319999978","https://openalex.org/W4322096648","https://openalex.org/W6601733005","https://openalex.org/W6637131181","https://openalex.org/W6679390333","https://openalex.org/W6684191040","https://openalex.org/W6728374919","https://openalex.org/W6733814495","https://openalex.org/W6738763127","https://openalex.org/W6743440100","https://openalex.org/W6751420435","https://openalex.org/W6751647823","https://openalex.org/W6758632346","https://openalex.org/W6764051988","https://openalex.org/W6771395016","https://openalex.org/W6771630921","https://openalex.org/W6779510507","https://openalex.org/W6786337132","https://openalex.org/W6792400148","https://openalex.org/W6802864417","https://openalex.org/W6803183535"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W41015297"],"abstract_inverted_index":{"In":[0],"unsupervised":[1,171],"person":[2,172],"Re-ID,":[3],"peer-teaching":[4],"strategy":[5],"leveraging":[6],"two":[7,29,43,72,76,107],"networks":[8,30,44,73,108],"to":[9,15,20,74,109,124,131,143],"facilitate":[10],"training":[11,28,152],"has":[12],"been":[13],"proven":[14],"be":[16],"an":[17],"effective":[18],"method":[19],"deal":[21],"with":[22,31,84,91,120,147],"the":[23,39,42,68,92,103,106,111,126,145,161,164,169],"pseudo":[24,36,79,93,149],"label":[25,48],"noise.":[26],"However,":[27],"a":[32,58,176],"set":[33],"of":[34,41,78,105,113,163],"noisy":[35,155],"labels":[37,80,94,150],"reduces":[38],"complementarity":[40,104],"and":[45,129,179],"results":[46],"in":[47],"noise":[49],"accumulation.":[50],"To":[51],"handle":[52],"this":[53,55],"issue,":[54],"paper":[56],"proposes":[57],"novel":[59],"Dual":[60],"Clustering":[61],"Co-teaching":[62],"(DCCT)":[63],"approach.":[64],"DCCT":[65],"mainly":[66],"exploits":[67],"features":[69],"extracted":[70],"by":[71,82,96,175],"generate":[75],"sets":[77],"separately":[81],"clustering":[83,119,134],"different":[85],"parameters.":[86,135],"Each":[87],"network":[88,127],"is":[89,141],"trained":[90],"generated":[95],"its":[97],"peer":[98],"network,":[99],"which":[100,167],"can":[101],"increase":[102],"reduce":[110],"impact":[112],"noises.":[114],"Furthermore,":[115],"we":[116],"propose":[117],"dual":[118],"dynamic":[121],"parameters":[122],"(DCDP)":[123],"make":[125],"adaptive":[128],"robust":[130],"dynamically":[132],"changing":[133],"Moreover,":[136],"Consistent":[137],"Sample":[138],"Mining":[139],"(CSM)":[140],"proposed":[142,165],"find":[144],"samples":[146],"unchanged":[148],"during":[151],"for":[153],"potential":[154],"sample":[156],"removal.":[157],"Extensive":[158],"experiments":[159],"demonstrate":[160],"effectiveness":[162],"method,":[166],"outperforms":[168],"state-of-the-art":[170],"Re-ID":[173],"methods":[174,182],"considerable":[177],"margin":[178],"surpasses":[180],"most":[181],"utilizing":[183],"camera":[184],"information.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":6}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}