{"id":"https://openalex.org/W4413277828","doi":"https://doi.org/10.1109/icip55913.2025.11084344","title":"Noisy Label Refinement with Semantically Reliable Synthetic Images","display_name":"Noisy Label Refinement with Semantically Reliable Synthetic Images","publication_year":2025,"publication_date":"2025-08-18","ids":{"openalex":"https://openalex.org/W4413277828","doi":"https://doi.org/10.1109/icip55913.2025.11084344"},"language":"en","primary_location":{"id":"doi:10.1109/icip55913.2025.11084344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip55913.2025.11084344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5001638438","display_name":"Yingxuan Li","orcid":"https://orcid.org/0000-0002-9139-4177"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yingxuan Li","raw_affiliation_strings":["The University of Tokyo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065481742","display_name":"Jiafeng Mao","orcid":"https://orcid.org/0009-0003-0907-7522"},"institutions":[{"id":"https://openalex.org/I4210089607","display_name":"CyberAgent (Japan)","ror":"https://ror.org/0060jg679","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210089607"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jiafeng Mao","raw_affiliation_strings":["CyberAgent, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CyberAgent, Inc","institution_ids":["https://openalex.org/I4210089607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103144232","display_name":"Yusuke Matsui","orcid":"https://orcid.org/0000-0003-3977-4313"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Matsui","raw_affiliation_strings":["The University of Tokyo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.20839336,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1516","last_page":"1521"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9810000061988831,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9810000061988831,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9778000116348267,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.973800003528595,"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":0.766674280166626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5448688268661499},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.458365261554718},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35390758514404297},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3317437767982483}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.766674280166626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5448688268661499},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.458365261554718},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35390758514404297},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3317437767982483}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip55913.2025.11084344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip55913.2025.11084344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2964274690","https://openalex.org/W2981873476","https://openalex.org/W4312933868","https://openalex.org/W4313068152","https://openalex.org/W4362641980","https://openalex.org/W4390873635","https://openalex.org/W4403757510","https://openalex.org/W4411244861"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Semantic":[0],"noise":[1,105,159],"in":[2,54,86,108],"image":[3],"classification":[4,101],"datasets,":[5],"where":[6],"visually":[7],"similar":[8],"categories":[9],"are":[10],"frequently":[11],"mislabeled,":[12],"poses":[13],"a":[14,69],"significant":[15],"challenge":[16],"to":[17,38,80,121],"conventional":[18,65],"supervised":[19],"learning":[20,124],"approaches.":[21],"In":[22],"this":[23,40],"paper,":[24],"we":[25,67],"explore":[26],"the":[27],"potential":[28],"of":[29],"using":[30],"synthetic":[31,45,74],"images":[32,46,75],"generated":[33],"by":[34,58,139,144,153],"advanced":[35],"text-to-image":[36],"models":[37],"address":[39],"issue.":[41],"Although":[42],"these":[43],"high-quality":[44],"come":[47],"with":[48,111,128],"reliable":[49,77],"labels,":[50],"their":[51],"direct":[52],"application":[53],"training":[55,131],"is":[56,119],"limited":[57],"domain":[59],"gaps":[60],"and":[61,82,143,152],"diversity":[62],"constraints.":[63],"Unlike":[64],"approaches,":[66],"propose":[68],"novel":[70],"method":[71,118],"that":[72,96],"leverages":[73],"as":[76],"reference":[78],"points":[79],"identify":[81],"correct":[83],"mislabeled":[84],"samples":[85],"noisy":[87],"datasets.":[88],"Extensive":[89],"experiments":[90],"across":[91],"multiple":[92],"benchmark":[93],"datasets":[94],"show":[95],"our":[97,117],"approach":[98],"significantly":[99],"improves":[100],"accuracy":[102,138],"under":[103,148,157],"various":[104],"conditions,":[106],"especially":[107],"challenging":[109],"scenarios":[110],"semantic":[112,150],"label":[113],"noise.":[114],"Additionally,":[115],"since":[116],"orthogonal":[120],"existing":[122],"noise-robust":[123,130],"techniques,":[125],"when":[126],"combined":[127],"state-of-the-art":[129],"methods,":[132],"it":[133],"achieves":[134],"superior":[135],"performance,":[136],"improving":[137],"30%":[140],"on":[141,146,155],"CIFAR-10":[142],"11%":[145],"CIFAR-100":[147],"70%":[149],"noise,":[151],"24%":[154],"ImageNet-100":[156],"real-world":[158],"conditions.":[160]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}