{"id":"https://openalex.org/W3093246726","doi":"https://doi.org/10.1145/3394171.3413952","title":"Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph","display_name":"Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph","publication_year":2020,"publication_date":"2020-10-12","ids":{"openalex":"https://openalex.org/W3093246726","doi":"https://doi.org/10.1145/3394171.3413952","mag":"3093246726"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3413952","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2010.05864","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075948339","display_name":"Jingkang Yang","orcid":"https://orcid.org/0000-0002-9424-254X"},"institutions":[],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingkang Yang","raw_affiliation_strings":["Sensetime Research & Rice University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Sensetime Research & Rice University, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081265423","display_name":"Weirong Chen","orcid":"https://orcid.org/0000-0003-3705-1605"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weirong Chen","raw_affiliation_strings":["SenseTime Research & The Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"SenseTime Research & The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039785210","display_name":"Litong Feng","orcid":"https://orcid.org/0000-0002-6716-3520"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Litong Feng","raw_affiliation_strings":["Sensetime Research, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Sensetime Research, Hong Kong, China","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101550575","display_name":"Xiaopeng Yan","orcid":"https://orcid.org/0000-0003-1399-465X"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaopeng Yan","raw_affiliation_strings":["SenseTime Research, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"SenseTime Research, Shenzhen, China","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081519872","display_name":"Huabin Zheng","orcid":"https://orcid.org/0000-0001-5988-8356"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huabin Zheng","raw_affiliation_strings":["SenseTime Research, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"SenseTime Research, Shenzhen, China","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057842914","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0002-8415-1062"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wayne Zhang","raw_affiliation_strings":["SenseTime Research & Shanghai Jiao Tong University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"SenseTime Research & Shanghai Jiao Tong University, Hong Kong, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":10,"citation_normalized_percentile":{"value":0.920035,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":86,"max":87},"biblio":{"volume":null,"issue":null,"first_page":"83","last_page":"91"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9996,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9996,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9984,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9971,"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/semantic-gap","display_name":"Semantic gap","score":0.50116086},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness","score":0.48605043},{"id":"https://openalex.org/keywords/semantic-search","display_name":"Semantic Search","score":0.43375754}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8580895},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.55793774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5550285},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.52869475},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.51116496},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.50895095},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.50116086},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.48605043},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4476763},{"id":"https://openalex.org/C166423231","wikidata":"https://www.wikidata.org/wiki/Q1891170","display_name":"Semantic search","level":3,"score":0.43375754},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.4133169},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.39836302},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3463124},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.32578862},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24444437},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13809335},{"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},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3413952","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2010.05864","pdf_url":"https://arxiv.org/pdf/2010.05864","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2010.05864","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2010.05864","pdf_url":"https://arxiv.org/pdf/2010.05864","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.62}],"grants":[],"datasets":[],"versions":["https://openalex.org/W3093246726","https://openalex.org/W3102425982"],"referenced_works_count":61,"referenced_works":["https://openalex.org/W1921293667","https://openalex.org/W1938167356","https://openalex.org/W1950117310","https://openalex.org/W1964763677","https://openalex.org/W2007972815","https://openalex.org/W2038721957","https://openalex.org/W2041520818","https://openalex.org/W2058990119","https://openalex.org/W2070902649","https://openalex.org/W2102348129","https://openalex.org/W2108598243","https://openalex.org/W2123053055","https://openalex.org/W2130695501","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2221837760","https://openalex.org/W2277195237","https://openalex.org/W2340382781","https://openalex.org/W2519887557","https://openalex.org/W2604156156","https://openalex.org/W2626778328","https://openalex.org/W2743200750","https://openalex.org/W2765407302","https://openalex.org/W2886641317","https://openalex.org/W2899505139","https://openalex.org/W2904509905","https://openalex.org/W2905224888","https://openalex.org/W2907258563","https://openalex.org/W2914019150","https://openalex.org/W2916106175","https://openalex.org/W2919115771","https://openalex.org/W2923172917","https://openalex.org/W2930556772","https://openalex.org/W2932399282","https://openalex.org/W2943152387","https://openalex.org/W2950133940","https://openalex.org/W2952051629","https://openalex.org/W2962762068","https://openalex.org/W2963049059","https://openalex.org/W2963081269","https://openalex.org/W2963697299","https://openalex.org/W2963703197","https://openalex.org/W2963735582","https://openalex.org/W2963875806","https://openalex.org/W2964015378","https://openalex.org/W2964124573","https://openalex.org/W2964159205","https://openalex.org/W2964274690","https://openalex.org/W2964321699","https://openalex.org/W2965373594","https://openalex.org/W2966540341","https://openalex.org/W2970597249","https://openalex.org/W2970608575","https://openalex.org/W2972062950","https://openalex.org/W2979805229","https://openalex.org/W2990019157","https://openalex.org/W2995460200","https://openalex.org/W2996060033","https://openalex.org/W3106822995","https://openalex.org/W4210257598","https://openalex.org/W4239072543"],"related_works":["https://openalex.org/W4387489691","https://openalex.org/W2564922022","https://openalex.org/W2366482673","https://openalex.org/W2281720482","https://openalex.org/W2172231696","https://openalex.org/W2156467700","https://openalex.org/W2133831373","https://openalex.org/W2118130975","https://openalex.org/W1854948104","https://openalex.org/W146038348"],"abstract_inverted_index":{"Webly":[0],"supervised":[1,197],"learning":[2,99,198],"becomes":[3],"attractive":[4],"recently":[5],"for":[6,27],"its":[7,213],"efficiency":[8],"in":[9,91,127],"data":[10],"expansion":[11],"without":[12],"expensive":[13,108],"human":[14,109],"labeling.":[15],"However,":[16],"adopting":[17],"search":[18],"queries":[19],"or":[20],"hashtags":[21],"as":[22],"web":[23,125,144],"labels":[24,126,181],"of":[25,36,44,73,208],"images":[26,48,56,75],"training":[28],"brings":[29],"massive":[30,142],"noise":[31],"that":[32,95,116],"degrades":[33],"the":[34,41,47,78,92,141,158,168,204,216],"performance":[35],"DNNs.":[37],"Especially,":[38],"due":[39],"to":[40,58,122,134,167],"semantic":[42,89,101,138,169],"confusion":[43],"query":[45,52],"words,":[46],"retrieved":[49],"by":[50],"one":[51],"may":[53],"contain":[54],"tremendous":[55],"belonging":[57],"other":[59],"concepts.":[60],"For":[61],"example,":[62],"searching":[63],"`tiger":[64],"cat'":[65],"on":[66,157,184,194,215],"Flickr":[67],"will":[68],"return":[69],"a":[70,128,185],"dominating":[71],"number":[72],"tiger":[74],"rather":[76],"than":[77],"cat":[79],"images.":[80],"These":[81],"realistic":[82,195],"noisy":[83,106],"samples":[84],"usually":[85],"have":[86],"clear":[87],"visual":[88,93,186],"clusters":[90],"space":[94],"mislead":[96],"DNNs":[97],"from":[98,163,182],"accurate":[100],"labels.":[102],"To":[103],"correct":[104,137,174,180],"real-world":[105],"labels,":[107],"annotations":[110],"seem":[111],"indispensable.":[112],"Fortunately,":[113],"we":[114,149],"find":[115],"metadata":[117,172],"can":[118],"provide":[119,136],"extra":[120],"knowledge":[121],"discover":[123],"clean":[124],"labor-free":[129],"fashion,":[130],"making":[131],"it":[132],"feasible":[133],"automatically":[135],"guidance":[139],"among":[140],"label-noisy":[143],"data.":[145],"In":[146],"this":[147],"paper,":[148],"propose":[150],"an":[151],"automatic":[152],"label":[153,175],"corrector":[154],"VSGraph-LC":[155,161,211],"based":[156],"visual-semantic":[159],"graph.":[160],"starts":[162],"anchor":[164],"selection":[165],"referring":[166],"similarity":[170],"between":[171],"and":[173,177,201,206],"concepts,":[176],"then":[178],"propagates":[179],"anchors":[183],"graph":[187,189],"using":[188],"neural":[190],"network":[191],"(GNN).":[192],"Experiments":[193],"webly":[196],"datasets":[199],"Webvision-1000":[200],"NUS-81-Web":[202],"show":[203],"effectiveness":[205],"robustness":[207],"VSGraph-LC.":[209],"Moreover,":[210],"reveals":[212],"advantage":[214],"open-set":[217],"validation":[218],"set.":[219]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3093246726","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2024-12-10T14:47:30.167637","created_date":"2020-10-22"}