{"id":"https://openalex.org/W4200316912","doi":"https://doi.org/10.1109/tip.2021.3131937","title":"Collaborative Refining for Person Re-Identification With Label Noise","display_name":"Collaborative Refining for Person Re-Identification With Label Noise","publication_year":2021,"publication_date":"2021-12-07","ids":{"openalex":"https://openalex.org/W4200316912","doi":"https://doi.org/10.1109/tip.2021.3131937","pmid":"https://pubmed.ncbi.nlm.nih.gov/34874857"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2021.3131937","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3131937","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5008999954","display_name":"Mang Ye","orcid":"https://orcid.org/0000-0003-3989-7655"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mang Ye","raw_affiliation_strings":["Hubei Key Laboratory of Multimedia and Network Communication Engineering, National Engineering Research Center for Multimedia Software, School of Computer Science, Institute of Artificial Intelligence, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Multimedia and Network Communication Engineering, National Engineering Research Center for Multimedia Software, School of Computer Science, Institute of Artificial Intelligence, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100719321","display_name":"Li He","orcid":"https://orcid.org/0000-0003-0261-4068"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Li","raw_affiliation_strings":["Hubei Key Laboratory of Multimedia and Network Communication Engineering, National Engineering Research Center for Multimedia Software, School of Computer Science, Institute of Artificial Intelligence, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Multimedia and Network Communication Engineering, National Engineering Research Center for Multimedia Software, School of Computer Science, Institute of Artificial Intelligence, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060042752","display_name":"Bo Du","orcid":"https://orcid.org/0000-0002-0059-8458"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Du","raw_affiliation_strings":["Hubei Key Laboratory of Multimedia and Network Communication Engineering, National Engineering Research Center for Multimedia Software, School of Computer Science, Institute of Artificial Intelligence, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Multimedia and Network Communication Engineering, National Engineering Research Center for Multimedia Software, School of Computer Science, Institute of Artificial Intelligence, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102851352","display_name":"Jianbing Shen","orcid":"https://orcid.org/0000-0003-2656-3082"},"institutions":[{"id":"https://openalex.org/I4210116052","display_name":"Inception Institute of Artificial Intelligence","ror":"https://ror.org/02664zk40","country_code":"AE","type":"facility","lineage":["https://openalex.org/I4210116052"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Jianbing Shen","raw_affiliation_strings":["Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates"],"affiliations":[{"raw_affiliation_string":"Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I4210116052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082634513","display_name":"Ling Shao","orcid":"https://orcid.org/0000-0002-8264-6117"},"institutions":[{"id":"https://openalex.org/I4210116052","display_name":"Inception Institute of Artificial Intelligence","ror":"https://ror.org/02664zk40","country_code":"AE","type":"facility","lineage":["https://openalex.org/I4210116052"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Ling Shao","raw_affiliation_strings":["Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates"],"affiliations":[{"raw_affiliation_string":"Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I4210116052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074834854","display_name":"Steven C. H. Hoi","orcid":"https://orcid.org/0000-0002-4584-3453"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Steven C. H. Hoi","raw_affiliation_strings":["Salesforce Research Asia, Singapore"],"affiliations":[{"raw_affiliation_string":"Salesforce Research Asia, Singapore","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5008999954"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":7.5738,"has_fulltext":false,"cited_by_count":98,"citation_normalized_percentile":{"value":0.98127323,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"31","issue":null,"first_page":"379","last_page":"391"},"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":0.9972000122070312,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9966999888420105,"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":0.8636396527290344},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6475592851638794},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6397160291671753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6220670342445374},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5349624752998352},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5129725337028503},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4830487370491028},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.4251846969127655},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.41188526153564453},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38857224583625793},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19750460982322693}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8636396527290344},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6475592851638794},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6397160291671753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6220670342445374},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5349624752998352},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5129725337028503},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4830487370491028},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4251846969127655},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.41188526153564453},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38857224583625793},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19750460982322693},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2021.3131937","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3131937","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:34874857","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34874857","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3507083598","display_name":null,"funder_award_id":"61822113","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6224760140","display_name":null,"funder_award_id":"2019AEA170","funder_id":"https://openalex.org/F4320336744","funder_display_name":"Science and Technology Program of Hubei Province"},{"id":"https://openalex.org/G8800375656","display_name":null,"funder_award_id":"62176188","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"},{"id":"https://openalex.org/F4320336744","display_name":"Science and Technology Program of Hubei Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":96,"referenced_works":["https://openalex.org/W153185079","https://openalex.org/W1949591461","https://openalex.org/W1982925187","https://openalex.org/W2046835352","https://openalex.org/W2112796928","https://openalex.org/W2168356304","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2219504084","https://openalex.org/W2220271458","https://openalex.org/W2433217581","https://openalex.org/W2577784528","https://openalex.org/W2584637367","https://openalex.org/W2585635281","https://openalex.org/W2592335154","https://openalex.org/W2620998106","https://openalex.org/W2736410039","https://openalex.org/W2750183885","https://openalex.org/W2777534232","https://openalex.org/W2798329462","https://openalex.org/W2798550112","https://openalex.org/W2798590501","https://openalex.org/W2798775284","https://openalex.org/W2802198257","https://openalex.org/W2808260522","https://openalex.org/W2891071241","https://openalex.org/W2895589658","https://openalex.org/W2896016251","https://openalex.org/W2904427185","https://openalex.org/W2904949947","https://openalex.org/W2904973725","https://openalex.org/W2909398625","https://openalex.org/W2909593838","https://openalex.org/W2948383821","https://openalex.org/W2948606739","https://openalex.org/W2954773727","https://openalex.org/W2962756219","https://openalex.org/W2962762068","https://openalex.org/W2962926870","https://openalex.org/W2963160702","https://openalex.org/W2963322158","https://openalex.org/W2963351448","https://openalex.org/W2963362748","https://openalex.org/W2963557071","https://openalex.org/W2963597983","https://openalex.org/W2963901085","https://openalex.org/W2963960612","https://openalex.org/W2964155802","https://openalex.org/W2964274690","https://openalex.org/W2967052791","https://openalex.org/W2967637014","https://openalex.org/W2970390221","https://openalex.org/W2971612271","https://openalex.org/W2978625989","https://openalex.org/W2978968642","https://openalex.org/W2979302305","https://openalex.org/W2979931389","https://openalex.org/W2981393440","https://openalex.org/W2981873476","https://openalex.org/W2985033611","https://openalex.org/W2985817549","https://openalex.org/W2988852559","https://openalex.org/W2994675267","https://openalex.org/W2996844762","https://openalex.org/W2998792609","https://openalex.org/W3003755145","https://openalex.org/W3008706867","https://openalex.org/W3033235266","https://openalex.org/W3034185248","https://openalex.org/W3034494316","https://openalex.org/W3036967712","https://openalex.org/W3092676209","https://openalex.org/W3105077954","https://openalex.org/W3107848599","https://openalex.org/W3109976102","https://openalex.org/W3118608800","https://openalex.org/W3161644958","https://openalex.org/W6634797541","https://openalex.org/W6691161760","https://openalex.org/W6732696085","https://openalex.org/W6738471490","https://openalex.org/W6740005241","https://openalex.org/W6743885473","https://openalex.org/W6746131018","https://openalex.org/W6750523955","https://openalex.org/W6751444130","https://openalex.org/W6751647823","https://openalex.org/W6753772092","https://openalex.org/W6755947654","https://openalex.org/W6758632346","https://openalex.org/W6771395016","https://openalex.org/W6771967508","https://openalex.org/W6785741936","https://openalex.org/W6787972765","https://openalex.org/W6793164127"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2358755282","https://openalex.org/W2625833328","https://openalex.org/W1533177136","https://openalex.org/W4380994516","https://openalex.org/W2251519152"],"abstract_inverted_index":{"Existing":[0],"person":[1,22],"re-identification":[2],"(Re-ID)":[3],"methods":[4],"usually":[5],"rely":[6],"heavily":[7],"on":[8,164,170],"large-scale":[9],"thoroughly":[10],"annotated":[11,50],"training":[12,51],"data.":[13],"However,":[14],"label":[15,42,109],"noise":[16,43,149,153,190],"is":[17,32,145,205],"unavoidable":[18],"due":[19],"to":[20,35,56,62,147],"inaccurate":[21],"detection":[23],"results":[24],"or":[25],"annotation":[26],"errors":[27],"in":[28,81],"real":[29],"scenes.":[30],"It":[31],"extremely":[33],"challenging":[34],"learn":[36,63],"a":[37,64,68,77,134,182],"robust":[38,146],"Re-ID":[39,171,199],"model":[40,66],"with":[41,76,102],"since":[44],"each":[45],"identity":[46],"has":[47,140],"very":[48],"limited":[49],"samples.":[52],"To":[53,90],"avoid":[54],"fitting":[55],"the":[57,73,83,93,117,127,165,196],"noisy":[58,131],"labels,":[59],"we":[60,95],"propose":[61],"prefatory":[65],"using":[67,133],"large":[69,183],"learning":[70],"rate":[71],"at":[72,207],"early":[74],"stage":[75],"self-label":[78],"refining":[79],"strategy,":[80],"which":[82],"labels":[84,132],"and":[85,108,151,172,188],"network":[86],"are":[87,111],"jointly":[88],"optimized.":[89],"further":[91],"enhance":[92],"robustness,":[94],"introduce":[96],"an":[97],"online":[98,112],"co-refining":[99],"(CORE)":[100],"framework":[101],"dynamic":[103],"mutual":[104],"learning,":[105],"where":[106],"networks":[107],"predictions":[110],"optimized":[113],"collaboratively":[114],"by":[115,181],"distilling":[116],"knowledge":[118],"from":[119],"other":[120],"peer":[121],"networks.":[122],"Moreover,":[123],"it":[124,144,155,193],"also":[125,194],"reduces":[126],"negative":[128],"impact":[129],"of":[130],"favorable":[135],"selective":[136],"consistency":[137],"strategy.":[138],"CORE":[139,177],"two":[141],"primary":[142],"advantages:":[143],"different":[148],"types":[150],"unknown":[152],"ratios;":[154],"can":[156],"be":[157],"easily":[158],"trained":[159],"without":[160],"much":[161],"additional":[162],"effort":[163],"architecture":[166],"design.":[167],"Extensive":[168],"experiments":[169],"image":[173],"classification":[174],"demonstrate":[175],"that":[176],"outperforms":[178],"its":[179],"counterparts":[180],"margin":[184],"under":[185,201],"both":[186],"practical":[187],"simulated":[189],"settings.":[191,203],"Notably,":[192],"improves":[195],"state-of-the-art":[197],"unsupervised":[198],"performance":[200],"standard":[202],"Code":[204],"available":[206],"https://github.com/mangye16/ReID-Label-Noise.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":21}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
