{"id":"https://openalex.org/W3166233593","doi":"https://doi.org/10.1145/3454130","title":"A Camera Identity-guided Distribution Consistency Method for Unsupervised Multi-target Domain Person Re-identification","display_name":"A Camera Identity-guided Distribution Consistency Method for Unsupervised Multi-target Domain Person Re-identification","publication_year":2021,"publication_date":"2021-06-08","ids":{"openalex":"https://openalex.org/W3166233593","doi":"https://doi.org/10.1145/3454130","mag":"3166233593"},"language":"en","primary_location":{"id":"doi:10.1145/3454130","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3454130","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"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 Intelligent Systems and 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/A5052135875","display_name":"Jiajie Tian","orcid":"https://orcid.org/0000-0003-4425-1293"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiajie Tian","raw_affiliation_strings":["Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081423035","display_name":"Qihao Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qihao Tang","raw_affiliation_strings":["Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100448609","display_name":"Rui Li","orcid":"https://orcid.org/0000-0003-1679-5904"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Li","raw_affiliation_strings":["Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052217154","display_name":"Teng Zhu","orcid":"https://orcid.org/0000-0002-1754-4878"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhu Teng","raw_affiliation_strings":["Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054557971","display_name":"Baopeng Zhang","orcid":"https://orcid.org/0000-0003-2592-2354"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baopeng Zhang","raw_affiliation_strings":["Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100728569","display_name":"Jianping Fan","orcid":"https://orcid.org/0000-0003-2290-1785"},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Fan","raw_affiliation_strings":["Lenovo Research, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Lenovo Research, Beijing, China","institution_ids":["https://openalex.org/I4210156165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5052135875"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.6725,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.70648693,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"12","issue":"4","first_page":"1","last_page":"18"},"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/T11448","display_name":"Face recognition and analysis","score":0.9973999857902527,"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":0.9940000176429749,"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":0.8848423957824707},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7983514070510864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7171090245246887},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6329599618911743},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5464932918548584},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5426086187362671},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.5325253009796143},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.51251220703125},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49403101205825806},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4710264801979065},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4500305652618408},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4439624845981598},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.44352415204048157},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.43843719363212585},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.41460925340652466},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3807065784931183},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3264775574207306},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.061114728450775146}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8848423957824707},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7983514070510864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7171090245246887},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6329599618911743},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5464932918548584},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5426086187362671},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.5325253009796143},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.51251220703125},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49403101205825806},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4710264801979065},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4500305652618408},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4439624845981598},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44352415204048157},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.43843719363212585},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.41460925340652466},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3807065784931183},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3264775574207306},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.061114728450775146},{"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3454130","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3454130","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"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 Intelligent Systems and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7099999785423279,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G7481692359","display_name":null,"funder_award_id":"61972027, 61872035","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1916279783","https://openalex.org/W1949591461","https://openalex.org/W1963882359","https://openalex.org/W1967988963","https://openalex.org/W1971955426","https://openalex.org/W1982696459","https://openalex.org/W1982925187","https://openalex.org/W2031623949","https://openalex.org/W2046835352","https://openalex.org/W2106053110","https://openalex.org/W2108598243","https://openalex.org/W2109289979","https://openalex.org/W2120419212","https://openalex.org/W2194775991","https://openalex.org/W2414767909","https://openalex.org/W2441160157","https://openalex.org/W2467139031","https://openalex.org/W2505962718","https://openalex.org/W2511556322","https://openalex.org/W2511791013","https://openalex.org/W2584637367","https://openalex.org/W2585635281","https://openalex.org/W2598634450","https://openalex.org/W2604463754","https://openalex.org/W2625961748","https://openalex.org/W2726229433","https://openalex.org/W2732252438","https://openalex.org/W2766623491","https://openalex.org/W2810913254","https://openalex.org/W2891175865","https://openalex.org/W2896016251","https://openalex.org/W2952794339","https://openalex.org/W2953214814","https://openalex.org/W2962793481","https://openalex.org/W2962859295","https://openalex.org/W2963000559","https://openalex.org/W2963047834","https://openalex.org/W2963168801","https://openalex.org/W2963289251","https://openalex.org/W2963557071","https://openalex.org/W2963721283","https://openalex.org/W2963767194","https://openalex.org/W2963975998","https://openalex.org/W2968039979","https://openalex.org/W2972254343","https://openalex.org/W2998543242","https://openalex.org/W2999929549","https://openalex.org/W3003384866","https://openalex.org/W3098711604","https://openalex.org/W4242059867"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W4205463238","https://openalex.org/W259157601","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W3008648540","https://openalex.org/W2740361506","https://openalex.org/W4312246223"],"abstract_inverted_index":{"Unsupervised":[0],"domain":[1,65,160],"adaptation":[2,32,66,144,161],"(UDA)":[3],"for":[4,83,94,128],"person":[5,60],"re-identification":[6],"(re-ID)":[7],"is":[8,80,98,152],"a":[9,56],"challenging":[10],"task":[11],"due":[12],"to":[13,90,141,148],"large":[14],"variations":[15],"in":[16,183],"human":[17],"classes,":[18],"illuminations,":[19],"camera":[20,132],"views,":[21],"and":[22,33,42,74,109,172,174],"so":[23],"on.":[24],"Currently,":[25],"existing":[26],"UDA":[27,103],"methods":[28],"focus":[29],"on":[30,37,44,59,156,167],"two-domain":[31],"are":[34,134,165],"generally":[35],"trained":[36],"one":[38,70],"labeled":[39,71],"source":[40,72],"set":[41,73],"adapted":[43],"the":[45,92,102,111,117,137,143,153,157],"other":[46],"unlabeled":[47,76],"target":[48,77],"set.":[49],"In":[50],"this":[51,151],"article,":[52],"we":[53,114],"put":[54],"forward":[55],"new":[57],"issue":[58],"re-ID,":[61],"namely,":[62],"unsupervised":[63,158],"multi-target":[64,159,184],"(UMDA).":[67],"It":[68],"involves":[69],"multiple":[75,95,129],"sets,":[78],"which":[79,97],"more":[81],"reasonable":[82],"practical":[84],"real-world":[85],"applications.":[86],"Enabling":[87],"UMDA":[88],"has":[89,177],"learn":[91,110],"consistency":[93,108],"domains,":[96],"significantly":[99],"different":[100],"from":[101],"problem.":[104],"To":[105],"ensure":[106],"distribution":[107],"discriminative":[112],"embedding,":[113],"further":[115],"propose":[116],"Camera":[118],"Identity-guided":[119],"Distribution":[120],"Consistency":[121],"method":[122,176],"that":[123],"performs":[124],"an":[125],"alignment":[126],"operation":[127],"domains.":[130],"The":[131],"identities":[133],"encoded":[135],"into":[136],"image":[138],"semantic":[139],"information":[140],"facilitate":[142],"of":[145],"features.":[146],"According":[147],"our":[149,175],"knowledge,":[150],"first":[154],"attempt":[155],"learning.":[162],"Extensive":[163],"experiments":[164],"executed":[166],"Market-1501,":[168],"DukeMTMC-reID,":[169],"MSMT17,":[170],"PersonX,":[171],"CUHK03,":[173],"achieved":[178],"very":[179],"competitive":[180],"re-ID":[181],"accuracy":[182],"domains":[185],"against":[186],"numerous":[187],"state-of-the-art":[188],"methods.":[189]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}