{"id":"https://openalex.org/W4312479014","doi":"https://doi.org/10.1109/icpr56361.2022.9956510","title":"Learning Fashion Compatibility from In-the-wild Images","display_name":"Learning Fashion Compatibility from In-the-wild Images","publication_year":2022,"publication_date":"2022-08-21","ids":{"openalex":"https://openalex.org/W4312479014","doi":"https://doi.org/10.1109/icpr56361.2022.9956510"},"language":"en","primary_location":{"id":"doi:10.1109/icpr56361.2022.9956510","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956510","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 26th International Conference on Pattern Recognition (ICPR)","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/A5025301438","display_name":"Additya Popli","orcid":null},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Additya Popli","raw_affiliation_strings":["International Institute of Information Technology,Hyderabad,India","International Institute of Information Technology, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Institute of Information Technology,Hyderabad,India","institution_ids":["https://openalex.org/I64189192"]},{"raw_affiliation_string":"International Institute of Information Technology, Hyderabad, India","institution_ids":["https://openalex.org/I64189192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432973","display_name":"Vijay Kumar","orcid":"https://orcid.org/0000-0002-3835-167X"},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vijay Kumar","raw_affiliation_strings":["International Institute of Information Technology,Hyderabad,India","International Institute of Information Technology, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Institute of Information Technology,Hyderabad,India","institution_ids":["https://openalex.org/I64189192"]},{"raw_affiliation_string":"International Institute of Information Technology, Hyderabad, India","institution_ids":["https://openalex.org/I64189192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007105557","display_name":"Sujit Jos","orcid":null},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sujit Jos","raw_affiliation_strings":["International Institute of Information Technology,Hyderabad,India","International Institute of Information Technology, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Institute of Information Technology,Hyderabad,India","institution_ids":["https://openalex.org/I64189192"]},{"raw_affiliation_string":"International Institute of Information Technology, Hyderabad, India","institution_ids":["https://openalex.org/I64189192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012587328","display_name":"Saraansh Tandon","orcid":null},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Saraansh Tandon","raw_affiliation_strings":["International Institute of Information Technology,Hyderabad,India","International Institute of Information Technology, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Institute of Information Technology,Hyderabad,India","institution_ids":["https://openalex.org/I64189192"]},{"raw_affiliation_string":"International Institute of Information Technology, Hyderabad, India","institution_ids":["https://openalex.org/I64189192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025301438"],"corresponding_institution_ids":["https://openalex.org/I64189192"],"apc_list":null,"apc_paid":null,"fwci":0.0591,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.31395514,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4920","last_page":"4926"},"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":0.9995999932289124,"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":0.9995999932289124,"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/T11448","display_name":"Face recognition and analysis","score":0.9916999936103821,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7426714897155762},{"id":"https://openalex.org/keywords/disjoint-sets","display_name":"Disjoint sets","score":0.6536732912063599},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.61600661277771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5825624465942383},{"id":"https://openalex.org/keywords/compatibility","display_name":"Compatibility (geochemistry)","score":0.5697277784347534},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4220137298107147},{"id":"https://openalex.org/keywords/pretext","display_name":"Pretext","score":0.4208901524543762},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3289646506309509},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07454505562782288},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07138070464134216}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7426714897155762},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.6536732912063599},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.61600661277771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5825624465942383},{"id":"https://openalex.org/C2778648169","wikidata":"https://www.wikidata.org/wiki/Q967768","display_name":"Compatibility (geochemistry)","level":2,"score":0.5697277784347534},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4220137298107147},{"id":"https://openalex.org/C2779627259","wikidata":"https://www.wikidata.org/wiki/Q779763","display_name":"Pretext","level":3,"score":0.4208901524543762},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3289646506309509},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07454505562782288},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07138070464134216},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr56361.2022.9956510","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956510","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 26th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1731081199","https://openalex.org/W2102409316","https://openalex.org/W2194775991","https://openalex.org/W2321533354","https://openalex.org/W2326925005","https://openalex.org/W2593768305","https://openalex.org/W2737102415","https://openalex.org/W2750549109","https://openalex.org/W2772328249","https://openalex.org/W2785325870","https://openalex.org/W2795117763","https://openalex.org/W2798991696","https://openalex.org/W2811481004","https://openalex.org/W2912053445","https://openalex.org/W2963053914","https://openalex.org/W2963150697","https://openalex.org/W2963709863","https://openalex.org/W2978426779","https://openalex.org/W2981414235","https://openalex.org/W2990873191","https://openalex.org/W2998388430","https://openalex.org/W2998458548","https://openalex.org/W3005680577","https://openalex.org/W3010209648","https://openalex.org/W3034366527","https://openalex.org/W3099462466","https://openalex.org/W3110551393","https://openalex.org/W3215912690","https://openalex.org/W4293584584","https://openalex.org/W4320013936","https://openalex.org/W6637618735","https://openalex.org/W6675401909","https://openalex.org/W6691148622","https://openalex.org/W6700872662","https://openalex.org/W6701655646","https://openalex.org/W6747899497","https://openalex.org/W6750227808","https://openalex.org/W6762913911","https://openalex.org/W6774314701","https://openalex.org/W6781426696"],"related_works":["https://openalex.org/W161456234","https://openalex.org/W3123043866","https://openalex.org/W2765162471","https://openalex.org/W2367130511","https://openalex.org/W4235007455","https://openalex.org/W2354300066","https://openalex.org/W2996988663","https://openalex.org/W2276802262","https://openalex.org/W2089741817","https://openalex.org/W2358993285"],"abstract_inverted_index":{"Complementary":[0],"fashion":[1,53,130],"recommendation":[2],"aims":[3],"at":[4],"identifying":[5],"items":[6,79],"from":[7,50,154],"different":[8,78,155],"categories":[9],"(e.g.":[10],"shirt,":[11],"footwear,":[12],"etc.)":[13],"that":[14,62,74,112],"\"go":[15],"well":[16],"together\"":[17],"as":[18],"an":[19,109],"outfit.":[20],"Most":[21],"existing":[22,140],"approaches":[23],"learn":[24,45],"representations":[25,46,76],"for":[26,47],"this":[27,40],"task":[28,70],"using":[29],"labeled":[30],"outfit":[31],"datasets":[32],"containing":[33],"manually":[34],"curated":[35],"compatible":[36,66],"item":[37],"combinations.":[38],"In":[39],"work,":[41],"we":[42,107],"propose":[43],"to":[44,88,95],"compatibility":[48,131],"prediction":[49],"in-the-wild":[51,101],"street":[52],"images":[54,104,152],"through":[55],"self-supervised":[56,141],"learning":[57],"by":[58,81,91],"leveraging":[59],"the":[60,75,82,97,114,120],"fact":[61],"people":[63],"often":[64],"wear":[65],"outfits.":[67],"Our":[68],"pretext":[69],"is":[71],"formulated":[72],"such":[73],"of":[77],"worn":[80,90],"same":[83],"person":[84],"are":[85,153],"closer":[86],"compared":[87],"those":[89],"other":[92],"people.":[93],"Additionally,":[94],"reduce":[96],"domain":[98],"gap":[99],"between":[100,119],"and":[102,135,138,150],"catalog":[103],"during":[105],"inference,":[106],"introduce":[108],"adversarial":[110],"loss":[111],"minimizes":[113],"difference":[115],"in":[116,145],"feature":[117],"distribution":[118],"two":[121,128],"domains.":[122],"We":[123],"conduct":[124],"our":[125],"experiments":[126],"on":[127],"popular":[129],"benchmarks":[132],"-":[133],"Polyvore":[134],"Polyvore-Disjoint":[136],"outfits,":[137],"outperform":[139],"approaches,":[142],"particularly":[143],"significant":[144],"cross-dataset":[146],"setting":[147],"where":[148],"training":[149],"testing":[151],"sources.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}