{"id":"https://openalex.org/W3158891422","doi":"https://doi.org/10.1109/access.2021.3077952","title":"Asymmetric Mutual Mean-Teaching for Unsupervised Domain Adaptive Person Re-Identification","display_name":"Asymmetric Mutual Mean-Teaching for Unsupervised Domain Adaptive Person Re-Identification","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3158891422","doi":"https://doi.org/10.1109/access.2021.3077952","mag":"3158891422"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3077952","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3077952","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2021.3077952","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yachao Dong","orcid":"https://orcid.org/0000-0002-0398-3239"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yachao Dong","raw_affiliation_strings":["Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0002-0398-3239","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, China","institution_ids":["https://openalex.org/I114234892"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040452780","display_name":"Hongzhe Liu","orcid":"https://orcid.org/0000-0003-2314-5272"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongzhe Liu","raw_affiliation_strings":["Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0003-2314-5272","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, China","institution_ids":["https://openalex.org/I114234892"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052315039","display_name":"Cheng Xu","orcid":"https://orcid.org/0000-0003-4913-5371"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Xu","raw_affiliation_strings":["Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0003-4913-5371","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, China","institution_ids":["https://openalex.org/I114234892"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.2911,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54202352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"9","issue":null,"first_page":"69971","last_page":"69984"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9954000115394592,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9861000180244446,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8420829176902771},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.763351321220398},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.6627732515335083},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.6615204811096191},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6595413684844971},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5637776255607605},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4771677553653717},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46493905782699585},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4604106843471527},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43014034628868103},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41501808166503906},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38777703046798706},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.134608656167984}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8420829176902771},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.763351321220398},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.6627732515335083},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.6615204811096191},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6595413684844971},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5637776255607605},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4771677553653717},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46493905782699585},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4604106843471527},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43014034628868103},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41501808166503906},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38777703046798706},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.134608656167984},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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":2,"locations":[{"id":"doi:10.1109/access.2021.3077952","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3077952","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:17150aeb1c45460ba6186d8f6f07eb6c","is_oa":true,"landing_page_url":"https://doaj.org/article/17150aeb1c45460ba6186d8f6f07eb6c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 69971-69984 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3077952","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3077952","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","score":0.4300000071525574,"display_name":"No poverty"}],"awards":[{"id":"https://openalex.org/G1403100209","display_name":null,"funder_award_id":"61871039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1916473830","display_name":null,"funder_award_id":"61802019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2412251166","display_name":null,"funder_award_id":"KM202111417001","funder_id":"https://openalex.org/F4320321572","funder_display_name":"Beijing Municipal Commission of Education"},{"id":"https://openalex.org/G3250783481","display_name":null,"funder_award_id":"XP202015","funder_id":"https://openalex.org/F4320322664","funder_display_name":"Beijing Union University"},{"id":"https://openalex.org/G3558371826","display_name":null,"funder_award_id":"BPHR2019AZ01","funder_id":"https://openalex.org/F4320322664","funder_display_name":"Beijing Union University"},{"id":"https://openalex.org/G3884458608","display_name":null,"funder_award_id":"YZ2020K001","funder_id":"https://openalex.org/F4320322664","funder_display_name":"Beijing Union University"},{"id":"https://openalex.org/G5386766143","display_name":null,"funder_award_id":"ZK80202001","funder_id":"https://openalex.org/F4320322664","funder_display_name":"Beijing Union University"},{"id":"https://openalex.org/G5446729902","display_name":null,"funder_award_id":"KM201911417001","funder_id":"https://openalex.org/F4320321572","funder_display_name":"Beijing Municipal Commission of Education"},{"id":"https://openalex.org/G622052330","display_name":null,"funder_award_id":"61906017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6733423036","display_name":null,"funder_award_id":"ZB10202003","funder_id":"https://openalex.org/F4320322664","funder_display_name":"Beijing Union University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321572","display_name":"Beijing Municipal Commission of Education","ror":"https://ror.org/04bpn6s66"},{"id":"https://openalex.org/F4320322664","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W1673310716","https://openalex.org/W1821462560","https://openalex.org/W2103868202","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2511791013","https://openalex.org/W2592335154","https://openalex.org/W2592691248","https://openalex.org/W2620998106","https://openalex.org/W2739879705","https://openalex.org/W2787017828","https://openalex.org/W2788159735","https://openalex.org/W2799185441","https://openalex.org/W2802198257","https://openalex.org/W2884366600","https://openalex.org/W2895589658","https://openalex.org/W2896016251","https://openalex.org/W2898047322","https://openalex.org/W2904427185","https://openalex.org/W2909398625","https://openalex.org/W2909593838","https://openalex.org/W2953070460","https://openalex.org/W2953214814","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/W2963628712","https://openalex.org/W2963735582","https://openalex.org/W2963927126","https://openalex.org/W2963975998","https://openalex.org/W2963983343","https://openalex.org/W2982204884","https://openalex.org/W2985817549","https://openalex.org/W2988852559","https://openalex.org/W2995852213","https://openalex.org/W2996988779","https://openalex.org/W2998792609","https://openalex.org/W2999929549","https://openalex.org/W3007744269","https://openalex.org/W3008706867","https://openalex.org/W3009238880","https://openalex.org/W3009761962","https://openalex.org/W3015031299","https://openalex.org/W3016719260","https://openalex.org/W3034727830","https://openalex.org/W3035003500","https://openalex.org/W3035038723","https://openalex.org/W3035070480","https://openalex.org/W3035402405","https://openalex.org/W3047363187","https://openalex.org/W3108349366","https://openalex.org/W3124998866","https://openalex.org/W3125736290","https://openalex.org/W3128358475","https://openalex.org/W3128791440","https://openalex.org/W4297665946","https://openalex.org/W6637131181","https://openalex.org/W6638523607","https://openalex.org/W6685444988","https://openalex.org/W6733814495","https://openalex.org/W6748108687","https://openalex.org/W6751444130","https://openalex.org/W6751647823","https://openalex.org/W6752477645","https://openalex.org/W6753385908","https://openalex.org/W6771395016","https://openalex.org/W6775845032","https://openalex.org/W6779101013","https://openalex.org/W6790553308"],"related_works":["https://openalex.org/W2381926679","https://openalex.org/W2007009951","https://openalex.org/W2082644203","https://openalex.org/W2350539780","https://openalex.org/W3165040664","https://openalex.org/W4242386713","https://openalex.org/W3122652148","https://openalex.org/W1583866266","https://openalex.org/W2996505764","https://openalex.org/W3088649123"],"abstract_inverted_index":{"Unsupervised":[0],"domain":[1,19,24],"adaptive":[2,41,99],"person":[3,42,100,207],"re-identification":[4,27,43,208],"aims":[5],"to":[6,78,145,152,171,181],"solve":[7,86],"the":[8,21,26,60,81,120,124,128,148,154,160,167,173,198],"problem":[9],"of":[10,62,104,134,150,156,186],"poor":[11],"performance":[12],"caused":[13],"by":[14,127],"transferring":[15],"an":[16,92],"unlabeled":[17],"target":[18,121],"from":[20],"labeled":[22],"source":[23],"in":[25,33,39],"task.":[28],"The":[29,176,193],"clustering":[30,54,71,138,157,174,211],"pseudo-labels":[31,51],"method":[32,96,178,200],"unsupervised":[34,40,98,206],"learning":[35,77],"is":[36,163,179],"widely":[37],"used":[38,115,141,180],"tasks,":[44],"and":[45,59,68],"it":[46],"maintains":[47],"state-of-the-art":[48],"performance.":[49],"However,":[50],"obtained":[52],"through":[53],"often":[55],"have":[56],"much":[57],"noise,":[58],"use":[61],"a":[63,69,183],"single":[64,70],"network":[65,109,129],"model":[66,76,82],"structure":[67],"algorithm":[72],"can":[73],"easily":[74],"cause":[75],"stagnate,":[79],"making":[80,123],"not":[83],"generalizable.":[84],"To":[85],"this":[87,89],"problem,":[88],"paper":[90],"proposes":[91],"asymmetric":[93,108],"mutual":[94,117,143],"mean-teaching":[95,118],"for":[97,116,142],"re-identification.":[101],"In":[102,132],"terms":[103,133],"feature":[105,135],"extraction,":[106],"two":[107,137],"models":[110],"with":[111],"different":[112],"structures":[113],"are":[114,140],"on":[119,166,189,210],"domain,":[122],"features":[125],"extracted":[126],"more":[130],"robust.":[131],"clustering,":[136],"methods":[139],"teaching":[144],"dynamically":[146],"update":[147],"centroid":[149,170],"clusters":[151],"improve":[153,172],"confidence":[155],"pseudo-labels.":[158,212],"Finally,":[159],"triplet":[161],"loss":[162],"improved":[164],"based":[165,209],"updated":[168],"cluster":[169],"effect.":[175],"proposed":[177,199],"perform":[182],"large":[184],"number":[185],"verification":[187],"experiments":[188],"three":[190],"public":[191],"datasets.":[192],"experimental":[194],"results":[195],"show":[196],"that":[197],"has":[201],"better":[202],"accuracy":[203],"than":[204],"other":[205]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
