{"id":"https://openalex.org/W3150574587","doi":"https://doi.org/10.1109/access.2021.3069245","title":"From Street Photos to Fashion Trends: Leveraging User-Provided Noisy Labels for Fashion Understanding","display_name":"From Street Photos to Fashion Trends: Leveraging User-Provided Noisy Labels for Fashion Understanding","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3150574587","doi":"https://doi.org/10.1109/access.2021.3069245","mag":"3150574587"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3069245","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3069245","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09388650.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09388650.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016686868","display_name":"Fu-Hsien Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Fu-Hsien Huang","raw_affiliation_strings":["Master Program in Statistics, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Master Program in Statistics, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074117557","display_name":"Hsin\u2010Min Lu","orcid":"https://orcid.org/0000-0002-9735-3421"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsin-Min Lu","raw_affiliation_strings":["Department of Information Management, National Taiwan University, Taipei, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-9735-3421","affiliations":[{"raw_affiliation_string":"Department of Information Management, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101603507","display_name":"Yao\u2010Wen Hsu","orcid":"https://orcid.org/0000-0002-0894-4511"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yao-Wen Hsu","raw_affiliation_strings":["Department of International Business, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of International Business, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.6371,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.65436918,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"9","issue":null,"first_page":"49189","last_page":"49205"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.996399998664856,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.996399998664856,"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/T12514","display_name":"Fashion and Cultural Textiles","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/1209","display_name":"Museology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9258999824523926,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7820070385932922},{"id":"https://openalex.org/keywords/clothing","display_name":"Clothing","score":0.720555305480957},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5759167075157166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.519772469997406},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5114008784294128},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5077477693557739},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.48146381974220276},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3937121033668518},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3538691997528076},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2873186469078064},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07760900259017944}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7820070385932922},{"id":"https://openalex.org/C530175646","wikidata":"https://www.wikidata.org/wiki/Q11460","display_name":"Clothing","level":2,"score":0.720555305480957},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5759167075157166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.519772469997406},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5114008784294128},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5077477693557739},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.48146381974220276},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3937121033668518},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3538691997528076},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2873186469078064},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07760900259017944},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3069245","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3069245","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09388650.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e56e5282fe6845fc8b165dc2db8d5e2f","is_oa":true,"landing_page_url":"https://doaj.org/article/e56e5282fe6845fc8b165dc2db8d5e2f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 49189-49205 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3069245","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3069245","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09388650.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2205640134","display_name":null,"funder_award_id":"MOST 109","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G2491864500","display_name":"Strategy for National Growth and Prosperity: a Data Analytics Approach (Center for Research in Econometric Theory and Applications, National Taiwan University)( III )","funder_award_id":"MOST109-2634-F002-045","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G2937303652","display_name":"Deep Learning for Financial Markets: Stock Embedding, Stock Movement Prediction, and Deep Investment Machines","funder_award_id":"MOST109-2410-H002-077-MY3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G8982693484","display_name":null,"funder_award_id":"2410-H-002","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3150574587.pdf","grobid_xml":"https://content.openalex.org/works/W3150574587.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W181871703","https://openalex.org/W1546503963","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1949942966","https://openalex.org/W1987971958","https://openalex.org/W2021541806","https://openalex.org/W2030628044","https://openalex.org/W2031489346","https://openalex.org/W2037227137","https://openalex.org/W2038147967","https://openalex.org/W2074621908","https://openalex.org/W2095705004","https://openalex.org/W2121339428","https://openalex.org/W2141771514","https://openalex.org/W2159426623","https://openalex.org/W2194775991","https://openalex.org/W2463470988","https://openalex.org/W2471768434","https://openalex.org/W2577784528","https://openalex.org/W2605066040","https://openalex.org/W2609373935","https://openalex.org/W2735001949","https://openalex.org/W2765876634","https://openalex.org/W2769033722","https://openalex.org/W2770929279","https://openalex.org/W2796384729","https://openalex.org/W2811481004","https://openalex.org/W2909866320","https://openalex.org/W2962734576","https://openalex.org/W2962749380","https://openalex.org/W2962835968","https://openalex.org/W2963290108","https://openalex.org/W2963483334","https://openalex.org/W2963658551","https://openalex.org/W2970048283","https://openalex.org/W2970742241","https://openalex.org/W2981747147","https://openalex.org/W2990019157","https://openalex.org/W3012456877","https://openalex.org/W3025686634","https://openalex.org/W3098379913","https://openalex.org/W3106250896","https://openalex.org/W3176934333","https://openalex.org/W4254891741","https://openalex.org/W4298125807","https://openalex.org/W4299345493","https://openalex.org/W4300972885","https://openalex.org/W6607307712","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6674330103","https://openalex.org/W6683333316","https://openalex.org/W6736213985","https://openalex.org/W6739258409","https://openalex.org/W6750344830","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2738456166","https://openalex.org/W2352745894","https://openalex.org/W2057731951","https://openalex.org/W2358836583","https://openalex.org/W2387983088","https://openalex.org/W2135888309","https://openalex.org/W3080469217","https://openalex.org/W791876968","https://openalex.org/W2768638338"],"abstract_inverted_index":{"There":[0],"is":[1],"increased":[2],"interest":[3],"in":[4,102,135,148],"using":[5,44],"street":[6,13,29,109,133,233],"photos":[7,14,30],"to":[8,25,66,74,150,173,223],"understand":[9,99],"fashion":[10,79,91,100,110,120,175,230],"trends.":[11],"Though":[12],"usually":[15],"contain":[16,37],"rich":[17],"clothing":[18,57,181],"information,":[19],"there":[20],"are":[21],"several":[22],"technical":[23,76,96],"challenges":[24,97],"their":[26],"analysis.":[27,121],"First,":[28],"collected":[31,124],"from":[32,125,242],"social":[33,128],"media":[34],"sites":[35],"often":[36],"user-provided":[38,151],"noisy":[39,152,198],"labels,":[40],"and":[41,60,89,98,137,157,200,232,239],"training":[42,156],"models":[43],"these":[45,75,95],"labels":[46,118,147,153,199,203,238],"may":[47],"deteriorate":[48],"prediction":[49],"performance.":[50],"Second,":[51],"most":[52,78],"existing":[53,217],"methods":[54],"predict":[55],"multiple":[56],"attributes":[58,189],"individually":[59],"do":[61],"not":[62],"consider":[63],"the":[64,161,169,197,206,220,224],"potential":[65],"share":[67],"knowledge":[68],"between":[69],"related":[70],"tasks.":[71],"In":[72],"addition":[73,149],"challenges,":[77],"image":[80,240],"datasets":[81],"created":[82,105],"by":[83],"previous":[84],"studies":[85],"focus":[86],"on":[87,132,168,205,236],"American":[88],"European":[90],"styles.":[92],"To":[93],"address":[94],"trends":[101,231],"Asia,":[103],"we":[104,227],"RichWear,":[106],"a":[107,143],"new":[108],"dataset":[111],"containing":[112],"322,198":[113],"images":[114],"with":[115],"various":[116],"text":[117],"for":[119,154],"This":[122],"dataset,":[123,226],"an":[126],"Asian":[127,139,229],"network":[129,195],"site,":[130],"focuses":[131],"styles":[134,234],"Japan":[136],"other":[138],"areas.":[140],"RichWear":[141,225],"provides":[142],"subset":[144],"of":[145,178,188],"expert-verified":[146],"model":[155,222],"evaluation.":[158],"We":[159],"propose":[160],"Fashion":[162],"Attributes":[163],"Recognition":[164],"Network":[165],"(FARNet)":[166],"based":[167,204,235],"multi-task":[170],"learning":[171],"framework":[172],"improve":[174],"recognition.":[176],"Instead":[177],"predicting":[179],"each":[180],"attribute":[182],"individually,":[183],"FARNet":[184],"predicts":[185],"three":[186],"types":[187],"simultaneously,":[190],"and,":[191],"once":[192],"trained,":[193],"this":[194,213],"leverages":[196],"generates":[201],"corrected":[202],"input":[207],"images.":[208],"Experimental":[209],"results":[210],"show":[211],"that":[212],"approach":[214],"significantly":[215],"outperforms":[216],"methods.":[218],"Applying":[219],"trained":[221],"report":[228],"predicted":[237],"clusters":[241],"latent":[243],"feature":[244],"vectors.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}