{"id":"https://openalex.org/W4206516668","doi":"https://doi.org/10.1109/tmm.2021.3134156","title":"Robust Learning From Noisy Web Images Via Data Purification for Fine-Grained Recognition","display_name":"Robust Learning From Noisy Web Images Via Data Purification for Fine-Grained Recognition","publication_year":2021,"publication_date":"2021-12-09","ids":{"openalex":"https://openalex.org/W4206516668","doi":"https://doi.org/10.1109/tmm.2021.3134156"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2021.3134156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3134156","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/A5101465467","display_name":"Chuanyi Zhang","orcid":"https://orcid.org/0000-0001-8724-5796"},"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":"Chuanyi Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-8724-5796","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100417402","display_name":"Qiong Wang","orcid":"https://orcid.org/0000-0003-4193-0960"},"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":"Qiong Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-4193-0960","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084688255","display_name":"Guo-Sen Xie","orcid":"https://orcid.org/0000-0002-5487-9845"},"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":"Guosen Xie","raw_affiliation_strings":["Inception Institute of Artificial Intelligence, Abu Dhabi, UAE"],"raw_orcid":"https://orcid.org/0000-0002-5487-9845","affiliations":[{"raw_affiliation_string":"Inception Institute of Artificial Intelligence, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I4210116052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060958969","display_name":"Qi Wu","orcid":"https://orcid.org/0000-0003-3631-256X"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Qi Wu","raw_affiliation_strings":["School of Computer Science, University of Adelaide, Adelaide, SA, Australia"],"raw_orcid":"https://orcid.org/0000-0003-3631-256X","affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Adelaide, Adelaide, SA, Australia","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074492050","display_name":"Fumin Shen","orcid":"https://orcid.org/0000-0001-7303-3231"},"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":"Fumin Shen","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-7303-3231","affiliations":[{"raw_affiliation_string":"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/A5100735663","display_name":"Zhenmin Tang","orcid":"https://orcid.org/0000-0001-6708-2205"},"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":"Zhenmin Tang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9108,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.88446928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"24","issue":null,"first_page":"1198","last_page":"1209"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9997000098228455,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9997000098228455,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9986000061035156,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8904929161071777},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6069478988647461},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5963075757026672},{"id":"https://openalex.org/keywords/noisy-data","display_name":"Noisy data","score":0.5344744324684143},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.529115617275238},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4953550398349762},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.451901376247406},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42026403546333313},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.41663116216659546},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4103367030620575},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3472011387348175},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3440738022327423},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2582852840423584}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8904929161071777},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6069478988647461},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5963075757026672},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.5344744324684143},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.529115617275238},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4953550398349762},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.451901376247406},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42026403546333313},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.41663116216659546},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4103367030620575},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3472011387348175},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3440738022327423},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2582852840423584},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2021.3134156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3134156","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":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G1285748160","display_name":null,"funder_award_id":"30920021135","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G128715220","display_name":null,"funder_award_id":"BK20210327","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G1591232902","display_name":null,"funder_award_id":"62102182","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7000730516","display_name":null,"funder_award_id":"61976116","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/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":86,"referenced_works":["https://openalex.org/W56385144","https://openalex.org/W343636949","https://openalex.org/W1496650988","https://openalex.org/W1797268635","https://openalex.org/W1846799578","https://openalex.org/W1921293667","https://openalex.org/W1928906481","https://openalex.org/W1929903369","https://openalex.org/W1943722231","https://openalex.org/W1954152232","https://openalex.org/W1955942245","https://openalex.org/W1969700546","https://openalex.org/W1984514441","https://openalex.org/W1999758002","https://openalex.org/W2014102544","https://openalex.org/W2079629362","https://openalex.org/W2104657103","https://openalex.org/W2108598243","https://openalex.org/W2135706578","https://openalex.org/W2138011018","https://openalex.org/W2164552042","https://openalex.org/W2194775991","https://openalex.org/W2202499615","https://openalex.org/W2250384498","https://openalex.org/W2287418003","https://openalex.org/W2289708887","https://openalex.org/W2479109623","https://openalex.org/W2515116636","https://openalex.org/W2524029660","https://openalex.org/W2524365899","https://openalex.org/W2556951257","https://openalex.org/W2560552919","https://openalex.org/W2566079294","https://openalex.org/W2575671312","https://openalex.org/W2589177632","https://openalex.org/W2592335154","https://openalex.org/W2599837529","https://openalex.org/W2606128082","https://openalex.org/W2609575245","https://openalex.org/W2737725206","https://openalex.org/W2741910023","https://openalex.org/W2763070548","https://openalex.org/W2765268259","https://openalex.org/W2773003563","https://openalex.org/W2798365843","https://openalex.org/W2798381792","https://openalex.org/W2798913983","https://openalex.org/W2808711976","https://openalex.org/W2961018736","https://openalex.org/W2962798895","https://openalex.org/W2963393555","https://openalex.org/W2963407932","https://openalex.org/W2964155802","https://openalex.org/W2964168984","https://openalex.org/W2982512212","https://openalex.org/W2991234496","https://openalex.org/W2998418694","https://openalex.org/W3005324544","https://openalex.org/W3006752788","https://openalex.org/W3034185248","https://openalex.org/W3092837619","https://openalex.org/W3093264957","https://openalex.org/W3093401039","https://openalex.org/W3099903704","https://openalex.org/W3101227480","https://openalex.org/W3101840387","https://openalex.org/W3109225549","https://openalex.org/W3127659116","https://openalex.org/W3169761117","https://openalex.org/W3173874704","https://openalex.org/W3193137605","https://openalex.org/W3207549852","https://openalex.org/W6638319203","https://openalex.org/W6638677478","https://openalex.org/W6684876274","https://openalex.org/W6726497184","https://openalex.org/W6728047685","https://openalex.org/W6738471490","https://openalex.org/W6747898760","https://openalex.org/W6747899497","https://openalex.org/W6751647823","https://openalex.org/W6758632346","https://openalex.org/W6762161020","https://openalex.org/W6762892961","https://openalex.org/W6765696844","https://openalex.org/W6774097037"],"related_works":["https://openalex.org/W2161052216","https://openalex.org/W2130553454","https://openalex.org/W3022007134","https://openalex.org/W2786391746","https://openalex.org/W4317548404","https://openalex.org/W2087783760","https://openalex.org/W1509924131","https://openalex.org/W2991483587","https://openalex.org/W160673860","https://openalex.org/W4308757581"],"abstract_inverted_index":{"Manually":[0],"labeling":[1],"fine-grained":[2,35,59,134],"datasetsis":[3],"laborious":[4],"and":[5,80,95,117,150],"typically":[6],"requires":[7],"domain-specific":[8],"expert":[9],"knowledge.":[10],"Conversely,":[11],"a":[12,53,67],"vast":[13],"amount":[14],"of":[15,47,115,121,153],"web":[16,32,50,88,122],"data":[17,33,149],"is":[18,37,52,140],"relatively":[19],"easy":[20],"to":[21,70,110,124,143],"obtain":[22],"with":[23],"nearly":[24],"no":[25],"human":[26],"effort.":[27],"Therefore,":[28],"learning":[29],"from":[30],"noisy":[31,72,87,98],"for":[34,56],"tasks":[36],"attracting":[38],"increasing":[39],"attention":[40],"in":[41,49],"recent":[42],"years.":[43],"However,":[44],"the":[45,86,104,107,112,119],"presence":[46],"noise":[48,94,116],"images":[51,73,123],"huge":[54],"obstacle":[55],"training":[57,89],"robust":[58],"recognition":[60],"models.":[61],"To":[62],"this":[63,154],"end,":[64],"we":[65,101],"propose":[66],"novel":[68],"approach":[69,139],"identify":[71],"as":[74,76],"well":[75],"specifically":[77],"distinguish":[78],"in-":[79],"out-of-distribution":[81,93],"samples.":[82,99],"It":[83],"can":[84,102],"purify":[85],"set":[90],"by":[91],"discarding":[92],"relabeling":[96],"in-distribution":[97],"Then":[100],"train":[103],"model":[105],"on":[106,130],"purified":[108],"dataset":[109],"alleviate":[111],"harmful":[113],"effects":[114],"make":[118],"most":[120],"achieve":[125],"better":[126],"performance.":[127],"Extensive":[128],"experiments":[129],"three":[131],"commonly":[132],"used":[133],"datasets":[135],"demonstrate":[136],"that":[137],"our":[138],"far":[141],"superior":[142],"current":[144],"state-of-the-art":[145],"web-supervised":[146],"methods.":[147],"The":[148],"source":[151],"code":[152],"work":[155],"have":[156],"been":[157],"made":[158],"publicly":[159],"available":[160],"at:":[161],"<uri":[162],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[163],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/NUST-Machine-Intelligence-Laboratory/Dataset-Purification</uri>":[164],".":[165]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
