{"id":"https://openalex.org/W4241740113","doi":"https://doi.org/10.1109/tmm.2021.3096014","title":"Robust Label Rectifying With Consistent Contrastive-Learning for Domain Adaptive Person Re-Identification","display_name":"Robust Label Rectifying With Consistent Contrastive-Learning for Domain Adaptive Person Re-Identification","publication_year":2021,"publication_date":"2021-07-13","ids":{"openalex":"https://openalex.org/W4241740113","doi":"https://doi.org/10.1109/tmm.2021.3096014"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2021.3096014","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3096014","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/A5074456565","display_name":"Xulin Song","orcid":"https://orcid.org/0000-0002-8664-9913"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xulin Song","raw_affiliation_strings":["School of Computer Science and Engineering, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-8664-9913","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100715019","display_name":"Zhong Jin","orcid":"https://orcid.org/0000-0002-4293-0869"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Jin","raw_affiliation_strings":["School of Computer Science and Engineering, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-4293-0869","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":1.6017,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.85872254,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"24","issue":null,"first_page":"3229","last_page":"3239"},"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":0.9919000267982483,"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":0.986299991607666,"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":0.8627395629882812},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6892566084861755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6567330360412598},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6247197389602661},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5032727122306824},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.4751976728439331},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4411100745201111},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.41535547375679016},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35629987716674805}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8627395629882812},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6892566084861755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6567330360412598},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6247197389602661},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5032727122306824},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.4751976728439331},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4411100745201111},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.41535547375679016},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35629987716674805}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2021.3096014","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3096014","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":[{"display_name":"Peace, Justice and strong institutions","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G2401001004","display_name":null,"funder_award_id":"61861136011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2411797988","display_name":"\u57fa\u4e8e\u589e\u91cf\u5b66\u4e60\u7684\u81ea\u9002\u5e94\u89c6\u9891\u76ee\u6807\u5206\u5272\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61972204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2821131282","display_name":"\u57fa\u4e8e\u4f4e\u7ba1\u79e9\u7ed3\u6784\u7684\u5f20\u91cf\u5b66\u4e60\u7406\u8bba\u4e0e\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61872188","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G635378778","display_name":null,"funder_award_id":"U1713208","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8344853726","display_name":null,"funder_award_id":"61773215","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1981333244","https://openalex.org/W2103868202","https://openalex.org/W2108598243","https://openalex.org/W2122534450","https://openalex.org/W2126818868","https://openalex.org/W2138621090","https://openalex.org/W2156483112","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2511791013","https://openalex.org/W2519655882","https://openalex.org/W2584637367","https://openalex.org/W2585635281","https://openalex.org/W2763647787","https://openalex.org/W2766546268","https://openalex.org/W2791329841","https://openalex.org/W2898047322","https://openalex.org/W2904427185","https://openalex.org/W2909593838","https://openalex.org/W2961917444","https://openalex.org/W2962762068","https://openalex.org/W2962859295","https://openalex.org/W2963047834","https://openalex.org/W2963107255","https://openalex.org/W2963696937","https://openalex.org/W2963842104","https://openalex.org/W2965843888","https://openalex.org/W2972035630","https://openalex.org/W2978968642","https://openalex.org/W2988852559","https://openalex.org/W2990019157","https://openalex.org/W2990827756","https://openalex.org/W2996988779","https://openalex.org/W2998508940","https://openalex.org/W2998792609","https://openalex.org/W3003755145","https://openalex.org/W3005680577","https://openalex.org/W3008706867","https://openalex.org/W3009761962","https://openalex.org/W3016366012","https://openalex.org/W3033235266","https://openalex.org/W3034247804","https://openalex.org/W3034727830","https://openalex.org/W3035038723","https://openalex.org/W3035402405","https://openalex.org/W3035524453","https://openalex.org/W3035732677","https://openalex.org/W3047363187","https://openalex.org/W3084758420","https://openalex.org/W3108381568","https://openalex.org/W3119635706","https://openalex.org/W3124998866","https://openalex.org/W3125736290","https://openalex.org/W6751420435","https://openalex.org/W6754278344","https://openalex.org/W6771395016","https://openalex.org/W6774314701","https://openalex.org/W6779510507"],"related_works":["https://openalex.org/W2563096758","https://openalex.org/W2150708814","https://openalex.org/W4386053843","https://openalex.org/W3158004940","https://openalex.org/W2015128070","https://openalex.org/W2972035100","https://openalex.org/W2029459513","https://openalex.org/W2167582322","https://openalex.org/W3200179079","https://openalex.org/W2742991909"],"abstract_inverted_index":{"Domain":[0],"adaptive":[1,223],"person":[2,217],"re-identification":[3],"(Re-ID)":[4],"is":[5,42,63,139],"challenging":[6],"due":[7],"to":[8,44,54],"the":[9,13,67,82,121,128,134,137,142,160,183,187,194,198,202,207,221,234],"domain":[10,123,130,222],"gap":[11],"between":[12,197],"source":[14,122,143],"and":[15,31,126,144,152,201,227,242],"target":[16,129,145,165],"domains.":[17],"Existing":[18],"methods":[19],"have":[20],"recently":[21],"shown":[22],"great":[23],"promise":[24],"by":[25,35,192],"training":[26],"models":[27],"with":[28,100,105,115],"contrastive":[29,79],"learning":[30],"assigning":[32],"pseudo":[33,188,240],"labels":[34,85,189,241],"clustering,":[36],"in":[37,73,77,169],"which":[38,119],"a":[39,97,116],"memory":[40,70,117,163],"bank":[41,118],"utilized":[43],"keep":[45],"features":[46,72,166],"for":[47,58,69],"contrast.":[48],"However,":[49],"two":[50,106],"main":[51],"problems":[52],"lead":[53],"sub-optimal":[55],"generalization":[56],"ability":[57],"existing":[59,74],"methods.":[60],"First,":[61],"there":[62],"no":[64],"constraint":[65],"on":[66,214],"updating":[68],"kept":[71,164],"methods,":[75],"resulting":[76],"inaccurate":[78],"learning.":[80],"Second,":[81],"inevitable":[83],"noisy":[84],"during":[86,156],"clustering":[87,155],"are":[88,167,190],"usually":[89],"ignored.":[90],"To":[91,205],"alleviate":[92],"these":[93],"problems,":[94],"we":[95,150,211],"propose":[96],"Label":[98],"Rectifying":[99],"Consistent":[101],"Contrastive-learning":[102],"(LRCC)":[103],"framework":[104],"strategies.":[107],"(1)":[108],"The":[109,173,229],"consistent":[110,154],"contrastive-learning":[111],"(CC)":[112],"strategy":[113,177],"works":[114],"stores":[120],"class":[124],"centroids":[125],"all":[127],"image":[131],"features.":[132],"With":[133],"CC":[135],"strategy,":[136],"contrast":[138],"conducted":[140],"across":[141],"domains":[146],"simultaneously.":[147],"More":[148],"specifically,":[149],"design":[151],"maintain":[153],"model":[157],"iteration,":[158],"thus":[159],"classes":[161],"of":[162,209],"invariable":[168],"one":[170],"epoch.":[171],"(2)":[172],"label":[174],"rectifying":[175],"(LR)":[176],"introduces":[178],"an":[179],"auxiliary":[180,203],"classifier":[181,200],"into":[182],"LRCC":[184,236],"framework.":[185],"Thus":[186],"rectified":[191],"minimizing":[193],"prediction":[195],"variance":[196],"primary":[199],"classifier.":[204],"verify":[206],"effectiveness":[208],"LRCC,":[210],"conduct":[212],"experiments":[213],"three":[215],"public":[216],"Re-ID":[218],"datasets":[219],"under":[220],"setting,":[224],"DukeMTMC-reID,":[225],"Market-1501,":[226],"MSMT17.":[228],"experimental":[230],"results":[231],"demonstrate":[232],"that":[233],"proposed":[235],"can":[237],"obtain":[238],"reliable":[239],"achieves":[243],"state-of-the-art":[244],"adaptation":[245],"performance.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}