{"id":"https://openalex.org/W4402473785","doi":"https://doi.org/10.1109/tmm.2024.3459637","title":"Deep Mutual Distillation for Unsupervised Domain Adaptation Person Re-Identification","display_name":"Deep Mutual Distillation for Unsupervised Domain Adaptation Person Re-Identification","publication_year":2024,"publication_date":"2024-09-12","ids":{"openalex":"https://openalex.org/W4402473785","doi":"https://doi.org/10.1109/tmm.2024.3459637"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3459637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3459637","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5004694827","display_name":"Xingyu Gao","orcid":"https://orcid.org/0000-0002-4660-8092"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xingyu Gao","raw_affiliation_strings":["Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4660-8092","affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422933","display_name":"Zhenyu Chen","orcid":"https://orcid.org/0000-0002-4989-7109"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Chen","raw_affiliation_strings":["Big Data Center, State Grid Corporation of China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4989-7109","affiliations":[{"raw_affiliation_string":"Big Data Center, State Grid Corporation of China, Beijing, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048192467","display_name":"Jianze Wei","orcid":"https://orcid.org/0000-0002-5774-6765"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianze Wei","raw_affiliation_strings":["Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5774-6765","affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056292756","display_name":"Ru-Bo Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rubo Wang","raw_affiliation_strings":["Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100675784","display_name":"Zhijun Zhao","orcid":"https://orcid.org/0000-0003-3587-5555"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijun Zhao","raw_affiliation_strings":["Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5004694827"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210119392"],"apc_list":null,"apc_paid":null,"fwci":4.5065,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.95798073,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"27","issue":null,"first_page":"1059","last_page":"1071"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987000226974487,"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":0.9987000226974487,"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/T11448","display_name":"Face recognition and analysis","score":0.9790999889373779,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9362999796867371,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8353770971298218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6134688258171082},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6097418069839478},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5592063665390015},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5223392248153687},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5168681144714355},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.45075082778930664},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4439723789691925},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42995405197143555},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.368747740983963},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06820735335350037}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8353770971298218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6134688258171082},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6097418069839478},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5592063665390015},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5223392248153687},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5168681144714355},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.45075082778930664},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4439723789691925},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42995405197143555},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.368747740983963},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06820735335350037},{"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/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},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3459637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3459637","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W1928419358","https://openalex.org/W2111284499","https://openalex.org/W2120419212","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2441160157","https://openalex.org/W2478454054","https://openalex.org/W2511791013","https://openalex.org/W2558460151","https://openalex.org/W2585635281","https://openalex.org/W2593768305","https://openalex.org/W2604463754","https://openalex.org/W2607264901","https://openalex.org/W2779610669","https://openalex.org/W2788768841","https://openalex.org/W2904079433","https://openalex.org/W2904427185","https://openalex.org/W2907410233","https://openalex.org/W2913231171","https://openalex.org/W2953214814","https://openalex.org/W2962687275","https://openalex.org/W2962859295","https://openalex.org/W2963000559","https://openalex.org/W2963289251","https://openalex.org/W2963406064","https://openalex.org/W2963557071","https://openalex.org/W2964288524","https://openalex.org/W2968374502","https://openalex.org/W2978573218","https://openalex.org/W2999929549","https://openalex.org/W3008706867","https://openalex.org/W3033469067","https://openalex.org/W3034607353","https://openalex.org/W3035070480","https://openalex.org/W3035402405","https://openalex.org/W3097245252","https://openalex.org/W3150780356","https://openalex.org/W3150864706","https://openalex.org/W3175042385","https://openalex.org/W3176719207","https://openalex.org/W3191697454","https://openalex.org/W3203359574","https://openalex.org/W4205914576","https://openalex.org/W4292976131","https://openalex.org/W4308862028","https://openalex.org/W4312459164","https://openalex.org/W4312592225","https://openalex.org/W4377021900","https://openalex.org/W4393156086","https://openalex.org/W6637178625","https://openalex.org/W6637618735","https://openalex.org/W6638408480","https://openalex.org/W6676531042","https://openalex.org/W6683633756","https://openalex.org/W6695692224","https://openalex.org/W6713955831","https://openalex.org/W6719270105","https://openalex.org/W6720006811","https://openalex.org/W6720691552","https://openalex.org/W6725448924","https://openalex.org/W6726873649","https://openalex.org/W6729508183","https://openalex.org/W6738964360","https://openalex.org/W6743410771","https://openalex.org/W6745986955","https://openalex.org/W6750109254","https://openalex.org/W6767222293","https://openalex.org/W6771395016","https://openalex.org/W6780221082","https://openalex.org/W6810730692","https://openalex.org/W6842797931"],"related_works":["https://openalex.org/W4394775207","https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W4321649381","https://openalex.org/W2997645659","https://openalex.org/W3180787869","https://openalex.org/W3203792196","https://openalex.org/W2955455867","https://openalex.org/W4295929828","https://openalex.org/W3156096827"],"abstract_inverted_index":{"Unsupervised":[0],"domain":[1,16],"adaptation":[2],"person":[3,6,73,132],"re-identification":[4,133],"(UDA":[5],"re-ID)":[7],"aims":[8],"at":[9],"transferring":[10],"the":[11,14,22,28,34,42,45,49,90,93,107,112,126,131,135,139,144,157,162],"knowledge":[12],"on":[13,152],"source":[15],"with":[17],"expensive":[18],"manual":[19],"annotation":[20],"to":[21,37,67,95,124,137,143],"unlabeled":[23],"target":[24,35],"domain.":[25],"Most":[26],"of":[27,92,109,134,161],"recent":[29],"papers":[30],"leverage":[31],"pseudo-labels":[32,70,97],"for":[33,71,82,98],"images":[36],"accomplish":[38],"this":[39,58],"task.":[40],"However,":[41],"noise":[43],"in":[44],"generated":[46],"labels":[47],"hinders":[48],"identification":[50,113],"system":[51],"from":[52],"learning":[53],"discriminative":[54],"features.":[55],"To":[56],"address":[57],"problem,":[59],"we":[60,117],"propose":[61],"a":[62,119],"deep":[63],"mutual":[64],"distillation":[65],"(DMD)":[66],"generate":[68,96],"reliable":[69],"UDA":[72],"re-ID.":[74],"The":[75],"proposed":[76,163],"DMD":[77],"applies":[78],"two":[79],"parallel":[80],"branches":[81],"feature":[83],"extraction,":[84],"and":[85,147,154,159],"each":[86],"branch":[87],"serves":[88],"as":[89],"teacher":[91],"other":[94],"its":[99],"training.":[100],"This":[101],"mutually":[102],"reinforcing":[103],"optimization":[104],"framework":[105],"enhances":[106],"reliability":[108],"pseudo-labels,":[110],"improving":[111],"performance.":[114],"In":[115],"addition,":[116],"present":[118],"bilateral":[120],"graph":[121],"representation":[122],"(BGR)":[123],"describe":[125],"pedestrian":[127],"images.":[128],"BGR":[129],"mimics":[130],"human":[136],"aggregate":[138],"identity":[140],"features":[141],"according":[142],"visual":[145],"similarity":[146],"attribute":[148],"consistency.":[149],"Experimental":[150],"results":[151],"Market-1501":[153],"Duke":[155],"demonstrate":[156],"effectiveness":[158],"generalization":[160],"method.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}
