{"id":"https://openalex.org/W4283366226","doi":"https://doi.org/10.1145/3512527.3531433","title":"Fashion Style-Aware Embeddings for Clothing Image Retrieval","display_name":"Fashion Style-Aware Embeddings for Clothing Image Retrieval","publication_year":2022,"publication_date":"2022-06-23","ids":{"openalex":"https://openalex.org/W4283366226","doi":"https://doi.org/10.1145/3512527.3531433"},"language":"en","primary_location":{"id":"doi:10.1145/3512527.3531433","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3512527.3531433","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 International Conference on Multimedia Retrieval","raw_type":"proceedings-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/A5060885565","display_name":"Rino Naka","orcid":null},"institutions":[{"id":"https://openalex.org/I133984924","display_name":"Doshisha University","ror":"https://ror.org/01fxdkm29","country_code":"JP","type":"education","lineage":["https://openalex.org/I133984924"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Rino Naka","raw_affiliation_strings":["Doshisha University, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Doshisha University, Kyoto, Japan","institution_ids":["https://openalex.org/I133984924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040938369","display_name":"Marie Katsurai","orcid":"https://orcid.org/0000-0003-4899-2427"},"institutions":[{"id":"https://openalex.org/I133984924","display_name":"Doshisha University","ror":"https://ror.org/01fxdkm29","country_code":"JP","type":"education","lineage":["https://openalex.org/I133984924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Marie Katsurai","raw_affiliation_strings":["Doshisha University, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Doshisha University, Kyoto, Japan","institution_ids":["https://openalex.org/I133984924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004618434","display_name":"Keisuke Yanagi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keisuke Yanagi","raw_affiliation_strings":["ZOZO NEXT, Inc., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"ZOZO NEXT, Inc., Tokyo, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014479735","display_name":"Ryosuke Goto","orcid":"https://orcid.org/0000-0001-6324-4895"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ryosuke Goto","raw_affiliation_strings":["ZOZO NEXT, Inc., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"ZOZO NEXT, Inc., Tokyo, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5060885565"],"corresponding_institution_ids":["https://openalex.org/I133984924"],"apc_list":null,"apc_paid":null,"fwci":0.8053,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.72237649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"49","last_page":"53"},"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":0.9947999715805054,"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":0.9947999715805054,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.982699990272522,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9789000153541565,"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/clothing","display_name":"Clothing","score":0.835479199886322},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7866697311401367},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7131831645965576},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.695000946521759},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6824764013290405},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5536836981773376},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.550368070602417},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5469127893447876},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5185011625289917},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.48633867502212524},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44038841128349304}],"concepts":[{"id":"https://openalex.org/C530175646","wikidata":"https://www.wikidata.org/wiki/Q11460","display_name":"Clothing","level":2,"score":0.835479199886322},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7866697311401367},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7131831645965576},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.695000946521759},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6824764013290405},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5536836981773376},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.550368070602417},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5469127893447876},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5185011625289917},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.48633867502212524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44038841128349304},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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":1,"locations":[{"id":"doi:10.1145/3512527.3531433","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3512527.3531433","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 International Conference on Multimedia Retrieval","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":15,"referenced_works":["https://openalex.org/W1967554269","https://openalex.org/W2194775991","https://openalex.org/W2463470988","https://openalex.org/W2483053118","https://openalex.org/W2605066040","https://openalex.org/W2765876634","https://openalex.org/W2769033722","https://openalex.org/W2963753203","https://openalex.org/W3025800305","https://openalex.org/W3034541562","https://openalex.org/W3100153382","https://openalex.org/W3105231519","https://openalex.org/W3107840323","https://openalex.org/W3172514680","https://openalex.org/W3183911038"],"related_works":["https://openalex.org/W1622964048","https://openalex.org/W30315714","https://openalex.org/W1965274140","https://openalex.org/W779885325","https://openalex.org/W2150972844","https://openalex.org/W2393615320","https://openalex.org/W3110435694","https://openalex.org/W2185145003","https://openalex.org/W2001760863","https://openalex.org/W2372769028"],"abstract_inverted_index":{"Clothing":[0],"image":[1,62],"retrieval":[2,25],"is":[3],"becoming":[4],"increasingly":[5],"important":[6],"as":[7,123],"users":[8],"on":[9,28,50,91,115,127],"social":[10],"media":[11],"grow":[12],"to":[13],"enjoy":[14],"sharing":[15],"their":[16],"daily":[17],"outfits.":[18],"Most":[19],"conventional":[20],"methods":[21],"offer":[22],"single":[23],"query-based":[24],"and":[26,55,83,104],"depend":[27],"visual":[29,102],"features":[30,48,103,122],"learnt":[31],"via":[32],"target":[33],"classification":[34],"training.":[35],"This":[36],"paper":[37],"presents":[38],"an":[39],"embedding":[40],"learning":[41],"framework":[42],"that":[43,95],"uses":[44],"novel":[45],"style":[46,79,107],"description":[47,108],"available":[49],"users'":[51,81],"posts,":[52],"allowing":[53],"image-based":[54],"multiple":[56],"choice-based":[57],"queries":[58],"for":[59,73],"practical":[60],"clothing":[61],"retrieval.":[63],"Specifically,":[64],"the":[65,69,97,101,105,131,134],"proposed":[66,106,135],"method":[67,136],"exploits":[68],"following":[70],"complementary":[71],"information":[72],"representing":[74],"fashion":[75],"styles:":[76],"season":[77],"tags,":[78,80],"heights,":[82],"silhouette":[84],"descriptions.":[85],"Then,":[86],"we":[87],"learn":[88],"embeddings":[89],"based":[90,114],"a":[92],"quadruplet":[93],"loss":[94],"considers":[96],"ranked":[98],"pairings":[99],"of":[100,117,121,133],"features,":[109],"enabling":[110],"flexible":[111],"outfit":[112],"search":[113],"either":[116],"these":[118],"two":[119],"types":[120],"queries.":[124],"Experiments":[125],"conducted":[126],"WEAR":[128],"posts":[129],"demonstrated":[130],"effectiveness":[132],"compared":[137],"with":[138],"several":[139],"baseline":[140],"methods.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}