{"id":"https://openalex.org/W7125939092","doi":"https://doi.org/10.1109/tifs.2026.3658987","title":"Consensus Labeling: Prompt-Guided Clustering Refinement for Weakly Supervised Text-Based Person Re-Identification","display_name":"Consensus Labeling: Prompt-Guided Clustering Refinement for Weakly Supervised Text-Based Person Re-Identification","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7125939092","doi":"https://doi.org/10.1109/tifs.2026.3658987"},"language":null,"primary_location":{"id":"doi:10.1109/tifs.2026.3658987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2026.3658987","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Information Forensics and Security","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/A5015476490","display_name":"Chengji Wang","orcid":"https://orcid.org/0000-0002-3770-8892"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengji Wang","raw_affiliation_strings":["Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning and the National Language Resources Monitoring and Research Center for Network Media, School of Computer Science, Central China Normal University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-3770-8892","affiliations":[{"raw_affiliation_string":"Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning and the National Language Resources Monitoring and Research Center for Network Media, School of Computer Science, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Weizhi Nie","orcid":"https://orcid.org/0009-0006-2829-8672"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weizhi Nie","raw_affiliation_strings":["Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning and the National Language Resources Monitoring and Research Center for Network Media, School of Computer Science, Central China Normal University, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0006-2829-8672","affiliations":[{"raw_affiliation_string":"Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning and the National Language Resources Monitoring and Research Center for Network Media, School of Computer Science, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042997793","display_name":"H. Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbo Zhang","raw_affiliation_strings":["Department of Computer Science and Technology, Huaqiao University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0001-5536-5224","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101409444","display_name":"Hao Sun","orcid":"https://orcid.org/0000-0002-1314-4957"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Sun","raw_affiliation_strings":["Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning and the National Language Resources Monitoring and Research Center for Network Media, School of Computer Science, Central China Normal University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-1314-4957","affiliations":[{"raw_affiliation_string":"Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning and the National Language Resources Monitoring and Research Center for Network Media, School of Computer Science, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5117112149","display_name":"Mang Ye","orcid":null},"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":"Mang Ye","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3989-7655","affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09407495,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":null,"first_page":"1829","last_page":"1841"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9053000211715698,"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":0.9053000211715698,"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":0.02160000056028366,"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":0.014000000432133675,"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":0.7121999859809875},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.7049000263214111},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.49129998683929443},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4691999852657318},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.43149998784065247},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.3928000032901764},{"id":"https://openalex.org/keywords/consensus-clustering","display_name":"Consensus clustering","score":0.3653999865055084},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.3508000075817108},{"id":"https://openalex.org/keywords/document-clustering","display_name":"Document clustering","score":0.3345000147819519}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.847599983215332},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7121999859809875},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.7049000263214111},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6187999844551086},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.49129998683929443},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4691999852657318},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.43149998784065247},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.3928000032901764},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.3653999865055084},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3637000024318695},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.3508000075817108},{"id":"https://openalex.org/C177937566","wikidata":"https://www.wikidata.org/wiki/Q4223102","display_name":"Document clustering","level":3,"score":0.3345000147819519},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.32440000772476196},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.3066999912261963},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2969000041484833},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2937999963760376},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2912999987602234},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.271699994802475},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.2653000056743622},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2639999985694885},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.2596000134944916},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.2542000114917755}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2026.3658987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2026.3658987","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2744356357","display_name":null,"funder_award_id":"2025AISL004","funder_id":"https://openalex.org/F4320327656","funder_display_name":"Fujian Key Laboratory of Statistical Science"},{"id":"https://openalex.org/G8629961390","display_name":null,"funder_award_id":"62407018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8777164557","display_name":null,"funder_award_id":"2023M741305","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320327656","display_name":"Fujian Key Laboratory of Statistical Science","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W2598634450","https://openalex.org/W2963449390","https://openalex.org/W2970476646","https://openalex.org/W2998792609","https://openalex.org/W3044438666","https://openalex.org/W3093207983","https://openalex.org/W3094502228","https://openalex.org/W3098267758","https://openalex.org/W3189221782","https://openalex.org/W3193660937","https://openalex.org/W3198377975","https://openalex.org/W3206868111","https://openalex.org/W4205960322","https://openalex.org/W4214770152","https://openalex.org/W4297821751","https://openalex.org/W4304087170","https://openalex.org/W4312310776","https://openalex.org/W4312480274","https://openalex.org/W4380450810","https://openalex.org/W4382460786","https://openalex.org/W4386065462","https://openalex.org/W4386071700","https://openalex.org/W4388145471","https://openalex.org/W4388145549","https://openalex.org/W4389331836","https://openalex.org/W4390873539","https://openalex.org/W4393158672","https://openalex.org/W4393158793","https://openalex.org/W4399377915","https://openalex.org/W4399418404","https://openalex.org/W4399852298","https://openalex.org/W4401835997","https://openalex.org/W4402702979","https://openalex.org/W4402753981","https://openalex.org/W4402754290","https://openalex.org/W4402982235","https://openalex.org/W4404001721","https://openalex.org/W4406949283","https://openalex.org/W4409657206","https://openalex.org/W4409917583","https://openalex.org/W4410639726","https://openalex.org/W4410852798","https://openalex.org/W4412082049","https://openalex.org/W4413145351"],"related_works":[],"abstract_inverted_index":{"Weakly":[0],"supervised":[1,126],"text-based":[2,127],"person":[3,128],"re-identification":[4],"aims":[5],"to":[6,25,98,137,182,208,213,228],"retrieve":[7],"specific":[8],"pedestrians":[9],"based":[10],"on":[11,88,248],"textual":[12,134,156,180],"descriptions":[13],"without":[14],"identity":[15,33],"labels":[16],"available":[17,262],"during":[18],"training.":[19],"This":[20],"task":[21],"remains":[22],"challenging":[23],"due":[24],"the":[26,51,99,106,175,184,199,210,230,234,239,254],"inherent":[27],"cross-modal":[28,58],"heterogeneity":[29],"and":[30,60,67,81,94,104,238],"lack":[31],"of":[32,40,53,76,101,186,256],"annotations.":[34],"There":[35],"is":[36,73,147,201,261],"a":[37,74,116,133,139,165,192,205,222],"common":[38],"issue":[39],"modality":[41],"gap":[42],"in":[43,48,64],"vision":[44],"language":[45,152],"models,":[46],"which":[47,146,173],"turn":[49],"affects":[50],"performance":[52],"downstream":[54],"tasks":[55],"such":[56],"as":[57,154],"retrieval":[59,108],"multimodal":[61],"clustering.":[62],"Specifically,":[63,130],"our":[65,257],"research":[66],"experiments,":[68],"we":[69,114,131,163,190],"found":[70],"that":[71,142],"there":[72],"problem":[75],"inter-modal":[77],"misalignment":[78],"between":[79,92,233],"image":[80,93,187],"text":[82,95],"modalities.":[83],"However,":[84],"existing":[85],"methods":[86],"rely":[87],"mutual":[89],"enhancement":[90],"strategies":[91],"clustering,":[96],"leading":[97],"accumulation":[100],"clustering":[102,161,185],"noise":[103],"affecting":[105],"final":[107],"performance.":[109],"To":[110,158],"address":[111],"this":[112],"issue,":[113],"propose":[115],"Consensus":[117],"Labelling:":[118],"Prompt-guided":[119],"Clustering":[120],"refinement":[121],"(CLPC)":[122],"framework":[123],"for":[124],"weakly":[125],"re-identification.":[129],"introduce":[132,164,221],"inversion":[135],"network":[136],"learn":[138],"pseudo":[140],"token":[141],"captures":[143],"visual":[144],"context,":[145],"then":[148],"integrated":[149],"into":[150],"natural":[151],"sentences":[153],"personalized":[155,179],"prompt.":[157],"further":[159],"improve":[160],"quality,":[162],"Nearest":[166],"Neighbor-Guided":[167],"Pseudo":[168],"Label":[169],"Mining":[170],"(NGPM)":[171],"method,":[172],"uses":[174],"clusters":[176],"derived":[177],"from":[178],"prompts":[181],"refine":[183],"features.":[188],"Additionally,":[189],"design":[191],"Dynamic":[193],"Margin":[194],"Triplet":[195],"(DMT)":[196],"loss,":[197],"where":[198],"margin":[200],"adaptively":[202],"adjusted":[203],"using":[204],"sigmoid-based":[206],"function":[207],"enhance":[209],"model\u2019s":[211],"ability":[212],"distinguish":[214],"hard":[215],"negative":[216],"samples.":[217],"We":[218],"have":[219,252],"also":[220],"Normalized":[223],"Distribution":[224],"Matching":[225],"(NDM)":[226],"loss":[227],"minimize":[229],"KL":[231],"divergence":[232],"image-text":[235],"matching":[236,242],"scores":[237],"normalized":[240],"soft":[241],"scores.":[243],"The":[244],"extensive":[245],"experimental":[246],"results":[247],"three":[249],"public":[250],"datasets":[251],"demonstrated":[253],"superiority":[255],"method.":[258],"Our":[259],"code":[260],"at":[263],"https://github.com/LeviWeiZhi/CLPC.":[264]},"counts_by_year":[],"updated_date":"2026-02-09T05:59:30.833894","created_date":"2026-01-29T00:00:00"}