{"id":"https://openalex.org/W4288062118","doi":"https://doi.org/10.1109/tcsvt.2022.3194084","title":"Global Relation-Aware Contrast Learning for Unsupervised Person Re-Identification","display_name":"Global Relation-Aware Contrast Learning for Unsupervised Person Re-Identification","publication_year":2022,"publication_date":"2022-07-26","ids":{"openalex":"https://openalex.org/W4288062118","doi":"https://doi.org/10.1109/tcsvt.2022.3194084"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2022.3194084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3194084","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/A5078774034","display_name":"Hongwei Zhang","orcid":"https://orcid.org/0000-0003-0829-3517"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongwei Zhang","raw_affiliation_strings":["School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-0829-3517","affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074863605","display_name":"Guoqing Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqing Zhang","raw_affiliation_strings":["School of Computer Science and the Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-8741-8607","affiliations":[{"raw_affiliation_string":"School of Computer Science and the Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100321261","display_name":"Yuhao Chen","orcid":"https://orcid.org/0000-0001-6518-8890"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhao Chen","raw_affiliation_strings":["School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-6518-8890","affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087119507","display_name":"Yuhui Zheng","orcid":"https://orcid.org/0000-0002-1709-3093"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Zheng","raw_affiliation_strings":["School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-1709-3093","affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5078774034"],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":null,"apc_paid":null,"fwci":4.6695,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.96094234,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"32","issue":"12","first_page":"8599","last_page":"8610"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9904999732971191,"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":0.9894999861717224,"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/discriminative-model","display_name":"Discriminative model","score":0.9229670763015747},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7460976243019104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6920167207717896},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.6052564382553101},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5483128428459167},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5437037944793701},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5318046808242798},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46815231442451477},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.45854973793029785},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4402958154678345},{"id":"https://openalex.org/keywords/proxy","display_name":"Proxy (statistics)","score":0.42899948358535767},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2508411109447479}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9229670763015747},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7460976243019104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6920167207717896},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6052564382553101},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5483128428459167},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5437037944793701},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5318046808242798},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46815231442451477},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.45854973793029785},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4402958154678345},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.42899948358535767},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2508411109447479},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/tcsvt.2022.3194084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3194084","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":[{"display_name":"Reduced inequalities","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1078658953","display_name":null,"funder_award_id":"62011540407","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1774912843","display_name":null,"funder_award_id":"BK20211539","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G1951442944","display_name":null,"funder_award_id":"62172231","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4428138543","display_name":null,"funder_award_id":"BK20220107","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G5706494817","display_name":null,"funder_award_id":"U20B2065","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/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W1673310716","https://openalex.org/W1875842236","https://openalex.org/W2108598243","https://openalex.org/W2138621090","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2511791013","https://openalex.org/W2512434173","https://openalex.org/W2584637367","https://openalex.org/W2798991696","https://openalex.org/W2884366600","https://openalex.org/W2904427185","https://openalex.org/W2953214814","https://openalex.org/W2953684117","https://openalex.org/W2955147859","https://openalex.org/W2957037461","https://openalex.org/W2961917444","https://openalex.org/W2962859295","https://openalex.org/W2963000559","https://openalex.org/W2963047834","https://openalex.org/W2963557071","https://openalex.org/W2963588253","https://openalex.org/W2963842104","https://openalex.org/W2963975998","https://openalex.org/W2963983343","https://openalex.org/W2995852213","https://openalex.org/W2996946635","https://openalex.org/W2998508940","https://openalex.org/W3000723049","https://openalex.org/W3005680577","https://openalex.org/W3034140121","https://openalex.org/W3034527052","https://openalex.org/W3034607353","https://openalex.org/W3034903425","https://openalex.org/W3035070480","https://openalex.org/W3035402405","https://openalex.org/W3093591919","https://openalex.org/W3095987504","https://openalex.org/W3106772544","https://openalex.org/W3106858249","https://openalex.org/W3109976102","https://openalex.org/W3110389231","https://openalex.org/W3111255625","https://openalex.org/W3124998866","https://openalex.org/W3128513979","https://openalex.org/W3138973758","https://openalex.org/W3166274350","https://openalex.org/W3173777106","https://openalex.org/W3175474559","https://openalex.org/W3176033671","https://openalex.org/W3177342236","https://openalex.org/W3184225461","https://openalex.org/W3189423081","https://openalex.org/W3190820385","https://openalex.org/W3195268397","https://openalex.org/W3197461641","https://openalex.org/W3204330270","https://openalex.org/W3204665409","https://openalex.org/W3205084906","https://openalex.org/W3210967702","https://openalex.org/W3211825525","https://openalex.org/W4200342123","https://openalex.org/W4206392385","https://openalex.org/W4210401104","https://openalex.org/W4225898543","https://openalex.org/W4226090797","https://openalex.org/W4293518667","https://openalex.org/W4306247966","https://openalex.org/W6637131181","https://openalex.org/W6747428963","https://openalex.org/W6752477645","https://openalex.org/W6771395016","https://openalex.org/W6774314701","https://openalex.org/W6779510507","https://openalex.org/W6784151099","https://openalex.org/W6792400148","https://openalex.org/W6804171873"],"related_works":["https://openalex.org/W3119773509","https://openalex.org/W3174759195","https://openalex.org/W3208297503","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4388405611","https://openalex.org/W2619127353","https://openalex.org/W3167013339","https://openalex.org/W4287121366","https://openalex.org/W60493759"],"abstract_inverted_index":{"The":[0],"goal":[1],"of":[2,42,61,88,162],"unsupervised":[3,89],"person":[4,11],"re-identification":[5],"(Re-ID)":[6],"is":[7],"to":[8,13,27,51,101,112,147,175,184,209],"use":[9],"unlabeled":[10],"images":[12],"learn":[14],"discriminative":[15,70,192],"features.":[16,193],"In":[17],"recent":[18],"years,":[19],"many":[20],"approaches":[21,208],"have":[22,34],"adopted":[23],"clustered":[24],"pseudo":[25],"labels":[26],"construct":[28],"proxies":[29,54,97],"for":[30,68,85,98],"contrastive":[31,172],"learning,":[32],"and":[33,105,118,169],"thereby":[35],"achieved":[36],"great":[37],"success.":[38],"However,":[39],"existing":[40],"methods":[41],"this":[43,74],"kind":[44],"only":[45],"utilize":[46],"local":[47],"structures":[48],"within":[49],"IDs":[50],"design":[52,166],"their":[53],"while":[55,141],"ignoring":[56],"the":[57,66,86,103,120,124,150,160,185],"relations":[58,107],"between":[59],"samples":[60,125,148],"different":[62,129,133],"IDs,":[63],"which":[64,109],"limits":[65],"improvement":[67],"inter-ID":[69,116,138],"ability.":[71],"To":[72],"resolve":[73],"issue,":[75],"we":[76,165,188],"propose":[77],"a":[78,210],"Global":[79],"Relation-Aware":[80],"Contrast":[81],"Learning":[82],"(GRACL)":[83],"method":[84,92],"task":[87],"Re-ID.":[90],"Our":[91],"first":[93],"sets":[94],"up":[95],"two":[96],"each":[99,181],"cluster":[100],"capture":[102],"inter-":[104,168],"intra-ID":[106,121,156,170],"respectively,":[108],"enables":[110],"us":[111],"both":[113,167],"effectively":[114],"increase":[115],"variances":[117],"reduce":[119],"discrepancies.":[122],"Specifically,":[123],"that":[126,143,201],"are":[127,135,144,153],"most":[128],"from":[130,149],"those":[131,142],"in":[132],"clusters":[134,152],"selected":[136],"as":[137,155],"relation-aware":[139,157,171],"proxies,":[140,164],"least":[145],"similar":[146],"same":[151],"employed":[154],"proxies.":[158],"With":[159],"aid":[161],"these":[163],"learning":[173],"modules":[174],"facilitate":[176],"model":[177,204],"learning.":[178],"By":[179],"pulling":[180],"sample":[182],"close":[183],"positive":[186],"proxy,":[187],"can":[189],"obtain":[190],"identity-invariant":[191],"Experiments":[194],"on":[195],"five":[196],"widely-used":[197],"Re-ID":[198],"datasets":[199],"prove":[200],"our":[202],"GRACL":[203],"outperforms":[205],"current":[206],"state-of-the-art":[207],"remarkable":[211],"extent.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":3}],"updated_date":"2026-06-04T09:04:59.091469","created_date":"2025-10-10T00:00:00"}
