{"id":"https://openalex.org/W4411086180","doi":"https://doi.org/10.1109/tip.2025.3574918","title":"UCPM: Uncertainty-Guided Cross-Modal Retrieval With Partially Mismatched Pairs","display_name":"UCPM: Uncertainty-Guided Cross-Modal Retrieval With Partially Mismatched Pairs","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411086180","doi":"https://doi.org/10.1109/tip.2025.3574918","pmid":"https://pubmed.ncbi.nlm.nih.gov/40478697"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2025.3574918","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3574918","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/A5091454874","display_name":"Quanxing Zha","orcid":"https://orcid.org/0009-0009-0643-1593"},"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":"Quanxing Zha","raw_affiliation_strings":["Department of Computer Science, Huaqiao University, Xiamen, China"],"raw_orcid":"https://orcid.org/0009-0009-0643-1593","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352180","display_name":"Xin Liu","orcid":"https://orcid.org/0000-0002-0011-6260"},"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":"Xin Liu","raw_affiliation_strings":["Department of Computer Science and Fujian Key Laboratory of Big Data Intelligence and Security, Huaqiao University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0002-0011-6260","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Fujian Key Laboratory of Big Data Intelligence and Security, Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038516431","display_name":"Yiu\u2010ming Cheung","orcid":"https://orcid.org/0000-0001-7629-4648"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yiu-Ming Cheung","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0001-7629-4648","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089905978","display_name":"Shu\u2010Juan Peng","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":"Shu-Juan Peng","raw_affiliation_strings":["Department of Artificial Intelligence, Huaqiao University, Xiamen, China"],"raw_orcid":"https://orcid.org/0009-0009-8205-1779","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009074046","display_name":"Xing Xu","orcid":"https://orcid.org/0000-0001-5685-3123"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Xu","raw_affiliation_strings":["Center for Future Multimedia and the School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-5685-3123","affiliations":[{"raw_affiliation_string":"Center for Future Multimedia and the School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042507268","display_name":"Nannan Wang","orcid":"https://orcid.org/0000-0002-4695-6134"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nannan Wang","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-4695-6134","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.772,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.97780654,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"34","issue":null,"first_page":"3622","last_page":"3634"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9574000239372253,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10028","display_name":"Topic Modeling","score":0.9574000239372253,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9541000127792358,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9433000087738037,"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/modal","display_name":"Modal","score":0.5644590854644775},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5282016396522522},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43037575483322144},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42451706528663635},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4127345085144043},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3609781563282013},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.10608565807342529}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5644590854644775},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5282016396522522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43037575483322144},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42451706528663635},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4127345085144043},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3609781563282013},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.10608565807342529},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2025.3574918","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3574918","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:40478697","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40478697","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":[{"id":"https://metadata.un.org/sdg/10","score":0.41999998688697815,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G3676457078","display_name":null,"funder_award_id":"62476103","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5347999826","display_name":null,"funder_award_id":"62222203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G610110826","display_name":null,"funder_award_id":"RC-SFCRG/23-24/R2/SCI/10","funder_id":"https://openalex.org/F4320320955","funder_display_name":"Hong Kong Baptist University"},{"id":"https://openalex.org/G6515857316","display_name":null,"funder_award_id":"N_HKBU214/21","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320320955","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131"},{"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":59,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1905882502","https://openalex.org/W2185175083","https://openalex.org/W2591669147","https://openalex.org/W2802864907","https://openalex.org/W2886641317","https://openalex.org/W2962964995","https://openalex.org/W2988823324","https://openalex.org/W3035524453","https://openalex.org/W3118694826","https://openalex.org/W3133038248","https://openalex.org/W3168316785","https://openalex.org/W3168433561","https://openalex.org/W3175888430","https://openalex.org/W4210894218","https://openalex.org/W4224926219","https://openalex.org/W4280641606","https://openalex.org/W4287947470","https://openalex.org/W4289792716","https://openalex.org/W4304014355","https://openalex.org/W4312626422","https://openalex.org/W4312761738","https://openalex.org/W4312802153","https://openalex.org/W4313429809","https://openalex.org/W4321488152","https://openalex.org/W4386071498","https://openalex.org/W4386071757","https://openalex.org/W4386076631","https://openalex.org/W4386083137","https://openalex.org/W4386918752","https://openalex.org/W4387994372","https://openalex.org/W4390872216","https://openalex.org/W4390872979","https://openalex.org/W4390873738","https://openalex.org/W4392251991","https://openalex.org/W4393147915","https://openalex.org/W4393158327","https://openalex.org/W4393170802","https://openalex.org/W4394786917","https://openalex.org/W4396712842","https://openalex.org/W4400530076","https://openalex.org/W4402592961","https://openalex.org/W4402716469","https://openalex.org/W4402753983","https://openalex.org/W4403936734","https://openalex.org/W6678470764","https://openalex.org/W6684488266","https://openalex.org/W6730042731","https://openalex.org/W6739651123","https://openalex.org/W6752745768","https://openalex.org/W6757074599","https://openalex.org/W6766952621","https://openalex.org/W6771630921","https://openalex.org/W6790019176","https://openalex.org/W6791353385","https://openalex.org/W6803448863","https://openalex.org/W6853233227","https://openalex.org/W6856418681","https://openalex.org/W6861444294"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2051487156","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"The":[0,261],"manual":[1],"annotation":[2],"of":[3,19,106,154,187,219,227,242],"perfectly":[4],"aligned":[5],"labels":[6],"for":[7],"cross-modal":[8],"retrieval":[9,45,94],"(CMR)":[10],"is":[11,26,66,118,165,197,263],"incredibly":[12],"labor-intensive.":[13],"As":[14],"an":[15,86,159],"alternative,":[16],"the":[17,24,35,44,54,60,103,123,139,145,151,173,177,183,188,202,216,224,238,246,253],"collection":[18],"co-occurring":[20],"data":[21,73,108,126],"pairs":[22,221],"from":[23],"Internet":[25],"a":[27,111,192],"remarkably":[28],"cost-effective":[29],"way,":[30],"but":[31],"which,":[32],"inevitably":[33],"induces":[34],"Partially":[36,96],"Mismatched":[37,97],"Pairs":[38],"(PMPs)":[39],"and":[40,63,74,134,138,171,185,240,250,258],"therefore":[41],"significantly":[42,101,251],"degrades":[43],"performance":[46],"without":[47],"particular":[48],"treatment.":[49],"Previous":[50],"efforts":[51],"often":[52],"utilize":[53],"pair-wise":[55],"similarity":[56],"to":[57,69,77,121,168,200,214],"filter":[58],"out":[59],"mismatched":[61,70,107,132,156,228],"pairs,":[62,98,207],"such":[64],"operation":[65],"highly":[67],"sensitive":[68],"or":[71],"ambiguous":[72],"thus":[75],"leads":[76],"sub-optimal":[78],"performance.":[79],"To":[80],"alleviate":[81],"these":[82],"concerns,":[83],"we":[84],"propose":[85],"efficient":[87],"approach,":[88],"termed":[89],"UCPM,":[90],"i.e.,":[91],"Uncertainty-guided":[92],"Cross-modal":[93],"with":[95,245],"which":[99,180],"can":[100,142],"reduce":[102],"adverse":[104],"impact":[105,153],"pairs.":[109,157,229],"Specifically,":[110],"novel":[112],"Uncertainty":[113,161],"Guided":[114],"Division":[115],"(UGD)":[116],"strategy":[117],"sophisticatedly":[119],"designed":[120,199],"divide":[122],"corrupted":[124],"training":[125,178],"into":[127],"confident":[128],"matched":[129,220],"(clean),":[130],"easily-identifiable":[131],"(noisy)":[133],"hardly-determined":[135],"hard":[136,206],"subsets,":[137],"derived":[140],"uncertainty":[141,175],"simultaneously":[143],"guide":[144],"informative":[146],"pair":[147],"learning":[148],"while":[149,222],"reducing":[150],"negative":[152,225],"potential":[155],"Meanwhile,":[158],"effective":[160],"Self-Correction":[162],"(USC)":[163],"mechanism":[164],"concurrently":[166],"presented":[167],"accurately":[169],"identify":[170],"rectify":[172],"fluctuated":[174],"during":[176],"process,":[179],"further":[181],"improves":[182],"stability":[184],"reliability":[186,241],"estimated":[189],"uncertainty.":[190],"Besides,":[191],"Trusted":[193],"Margin":[194],"Loss":[195],"(TML)":[196],"newly":[198],"enhance":[201],"discriminability":[203],"between":[204],"those":[205],"by":[208],"dynamically":[209],"adjusting":[210],"their":[211],"soft":[212],"margins":[213],"amplify":[215],"positive":[217],"contributions":[218],"suppressing":[223],"impacts":[226],"Extensive":[230],"experiments":[231],"on":[232],"three":[233],"widely-used":[234],"benchmark":[235],"datasets,":[236],"verify":[237],"effectiveness":[239],"UCPM":[243],"compared":[244],"existing":[247],"SOTA":[248],"approaches,":[249],"improve":[252],"robustness":[254],"in":[255],"both":[256],"synthetic":[257],"real-world":[259],"PMPs.":[260],"code":[262],"available":[264],"at:":[265],"https://github.com/qxzha/UCPM.":[266]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}