{"id":"https://openalex.org/W4386001436","doi":"https://doi.org/10.1145/3612926","title":"Self-Supervised Consistency Based on Joint Learning for Unsupervised Person Re-identification","display_name":"Self-Supervised Consistency Based on Joint Learning for Unsupervised Person Re-identification","publication_year":2023,"publication_date":"2023-08-19","ids":{"openalex":"https://openalex.org/W4386001436","doi":"https://doi.org/10.1145/3612926"},"language":"en","primary_location":{"id":"doi:10.1145/3612926","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3612926","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","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/A5075727167","display_name":"Xulei Lou","orcid":"https://orcid.org/0009-0006-6607-782X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xulei Lou","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University, China"],"raw_orcid":"https://orcid.org/0009-0006-6607-782X","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101531827","display_name":"Tinghui Wu","orcid":"https://orcid.org/0009-0007-0144-6169"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tinghui Wu","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University, China"],"raw_orcid":"https://orcid.org/0009-0007-0144-6169","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056953478","display_name":"Haifeng Hu","orcid":"https://orcid.org/0000-0002-4884-323X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Hu","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University, China"],"raw_orcid":"https://orcid.org/0000-0002-4884-323X","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071453879","display_name":"Dihu Chen","orcid":"https://orcid.org/0000-0001-5432-8149"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dihu Chen","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University, China"],"raw_orcid":"https://orcid.org/0000-0001-5432-8149","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.3333,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58143049,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"20","issue":"1","first_page":"1","last_page":"20"},"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":0.9968000054359436,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9944000244140625,"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":0.7492057085037231},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.706043004989624},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.6720147728919983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6578348875045776},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5743556022644043},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5623114705085754},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5372983813285828},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5181452035903931},{"id":"https://openalex.org/keywords/local-consistency","display_name":"Local consistency","score":0.48640894889831543},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.47770407795906067},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.46891793608665466},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4492644965648651},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.43307650089263916},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11502054333686829},{"id":"https://openalex.org/keywords/constraint-satisfaction","display_name":"Constraint satisfaction","score":0.09391641616821289},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.0919434130191803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7492057085037231},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.706043004989624},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.6720147728919983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6578348875045776},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5743556022644043},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5623114705085754},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5372983813285828},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5181452035903931},{"id":"https://openalex.org/C137105694","wikidata":"https://www.wikidata.org/wiki/Q3407510","display_name":"Local consistency","level":4,"score":0.48640894889831543},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.47770407795906067},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.46891793608665466},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4492644965648651},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.43307650089263916},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11502054333686829},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.09391641616821289},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0919434130191803},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3612926","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3612926","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.75,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1982925187","https://openalex.org/W2186222003","https://openalex.org/W2204750386","https://openalex.org/W2241862190","https://openalex.org/W2441160157","https://openalex.org/W2511791013","https://openalex.org/W2526468814","https://openalex.org/W2614892441","https://openalex.org/W2620998106","https://openalex.org/W2961917444","https://openalex.org/W2962793481","https://openalex.org/W2962858109","https://openalex.org/W2963289251","https://openalex.org/W2963842104","https://openalex.org/W2964289004","https://openalex.org/W2970832466","https://openalex.org/W2981978388","https://openalex.org/W2987283559","https://openalex.org/W2995852213","https://openalex.org/W3005680577","https://openalex.org/W3006871679","https://openalex.org/W3009561768","https://openalex.org/W3018640049","https://openalex.org/W3034140121","https://openalex.org/W3034607353","https://openalex.org/W3035060554","https://openalex.org/W3035176451","https://openalex.org/W3035524453","https://openalex.org/W3092938221","https://openalex.org/W3111278072","https://openalex.org/W3124998866","https://openalex.org/W3125650101","https://openalex.org/W3136792391","https://openalex.org/W3140428646","https://openalex.org/W3145450063","https://openalex.org/W3158054312","https://openalex.org/W3159481202","https://openalex.org/W3175445198","https://openalex.org/W3192401306","https://openalex.org/W3200840856","https://openalex.org/W3205929373","https://openalex.org/W3213464901","https://openalex.org/W3214007456","https://openalex.org/W3217250086","https://openalex.org/W4206982465","https://openalex.org/W4210463766","https://openalex.org/W4221158162","https://openalex.org/W4224082249","https://openalex.org/W4226022881","https://openalex.org/W4226090797","https://openalex.org/W4281737392","https://openalex.org/W4297808394","https://openalex.org/W4312666664","https://openalex.org/W4313013512","https://openalex.org/W6786714330"],"related_works":["https://openalex.org/W3174759195","https://openalex.org/W3208297503","https://openalex.org/W3119773509","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":{"Recently,":[0],"unsupervised":[1],"domain":[2],"adaptive":[3],"person":[4,146,160],"re-identification":[5],"(Re-ID)":[6],"methods":[7,27],"have":[8,19],"been":[9],"extensively":[10],"studied":[11],"thanks":[12],"to":[13,29,48,78,82,86,102,139,163,187],"not":[14],"requiring":[15],"annotations,":[16],"and":[17,175],"they":[18,41],"achieved":[20],"excellent":[21],"performance.":[22,68],"Most":[23],"of":[24,53,66,106,128,167],"the":[25,31,46,59,79,84,89,107,110,115,129,141,165,168],"existing":[26],"aim":[28],"train":[30],"Re-ID":[32,161],"model":[33,47,67,85,130],"for":[34],"learning":[35],"a":[36,50,54,98,133],"discriminative":[37],"feature":[38,52,91],"representation.":[39],"However,":[40],"usually":[42],"only":[43],"consider":[44],"training":[45],"learn":[49],"global":[51,174],"pedestrian":[55],"image,":[56],"but":[57],"neglecting":[58],"local":[60,74,90,176],"feature,":[61],"which":[62,124],"restricts":[63],"further":[64,103],"improvement":[65],"To":[69],"address":[70],"this":[71],"problem,":[72],"two":[73],"branches":[75],"are":[76,154],"added":[77],"networks,":[80,123],"aiming":[81],"allow":[83],"focus":[87],"on":[88,156],"containing":[92],"identity":[93],"information.":[94],"Furthermore,":[95],"we":[96],"propose":[97],"self-supervised":[99,111],"consistency":[100,112],"constraint":[101,113],"improve":[104,126],"robustness":[105],"model.":[108],"Specifically,":[109],"uses":[114],"basic":[116],"data":[117],"augmentation":[118],"operations":[119],"without":[120],"other":[121],"auxiliary":[122],"can":[125],"performance":[127],"effectively.":[131],"Then,":[132],"learnable":[134],"memory":[135],"matrix":[136],"is":[137],"designed":[138],"store":[140],"mapping":[142],"vectors":[143],"that":[144,181],"maps":[145],"features":[147],"into":[148],"probability":[149],"distributions.":[150],"Finally,":[151],"extensive":[152],"experiments":[153],"conducted":[155],"multiple":[157],"commonly":[158],"used":[159],"datasets":[162],"verify":[164],"effectiveness":[166],"proposed":[169],"generative":[170],"adversarial":[171],"networks":[172],"fusing":[173],"features.":[177],"Experimental":[178],"results":[179,185],"reveal":[180],"our":[182],"method":[183],"achieves":[184],"comparable":[186],"state-of-the-art":[188],"methods.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}