{"id":"https://openalex.org/W4309956283","doi":"https://doi.org/10.1145/3571600.3571625","title":"Contrastive Multi-View Textual-Visual Encoding: Towards One Hundred Thousand-Scale One-Shot Logo Identification\u2731","display_name":"Contrastive Multi-View Textual-Visual Encoding: Towards One Hundred Thousand-Scale One-Shot Logo Identification\u2731","publication_year":2022,"publication_date":"2022-12-08","ids":{"openalex":"https://openalex.org/W4309956283","doi":"https://doi.org/10.1145/3571600.3571625"},"language":"en","primary_location":{"id":"doi:10.1145/3571600.3571625","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3571600.3571625","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirteenth Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2211.12926","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103115953","display_name":"Nakul Sharma","orcid":"https://orcid.org/0000-0003-2218-4624"},"institutions":[{"id":"https://openalex.org/I154549908","display_name":"Indian Institute of Technology Jodhpur","ror":"https://ror.org/03yacj906","country_code":"IN","type":"education","lineage":["https://openalex.org/I154549908"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Nakul Sharma","raw_affiliation_strings":["Indian Institute of Technology Jodhpur, IN"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Jodhpur, IN","institution_ids":["https://openalex.org/I154549908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009838940","display_name":"Abhirama Subramanyam Penamakuri","orcid":"https://orcid.org/0000-0003-3646-8492"},"institutions":[{"id":"https://openalex.org/I154549908","display_name":"Indian Institute of Technology Jodhpur","ror":"https://ror.org/03yacj906","country_code":"IN","type":"education","lineage":["https://openalex.org/I154549908"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhirama Subramanyam V B Penamakuri","raw_affiliation_strings":["Indian Institute of Technology, Jodhpur, IN"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Jodhpur, IN","institution_ids":["https://openalex.org/I154549908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075621328","display_name":"Anand Mishra","orcid":"https://orcid.org/0000-0002-7806-2557"},"institutions":[{"id":"https://openalex.org/I154549908","display_name":"Indian Institute of Technology Jodhpur","ror":"https://ror.org/03yacj906","country_code":"IN","type":"education","lineage":["https://openalex.org/I154549908"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anand Mishra","raw_affiliation_strings":["Indian Institute of Technology, Jodhpur, IN"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Jodhpur, IN","institution_ids":["https://openalex.org/I154549908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103115953"],"corresponding_institution_ids":["https://openalex.org/I154549908"],"apc_list":null,"apc_paid":null,"fwci":0.4076,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.60660727,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9997000098228455,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9997000098228455,"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":0.9962000250816345,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9937000274658203,"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/encoding","display_name":"Encoding (memory)","score":0.7163593173027039},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6961066126823425},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6623638272285461},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6040750741958618},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.586995005607605},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5097119212150574},{"id":"https://openalex.org/keywords/logo","display_name":"Logo (programming language)","score":0.5080184936523438},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4465804994106293},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4140931963920593},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.32898443937301636},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08844873309135437},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.08589640259742737},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0576213002204895}],"concepts":[{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.7163593173027039},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6961066126823425},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6623638272285461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6040750741958618},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.586995005607605},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5097119212150574},{"id":"https://openalex.org/C2778720087","wikidata":"https://www.wikidata.org/wiki/Q201436","display_name":"Logo (programming language)","level":2,"score":0.5080184936523438},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4465804994106293},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4140931963920593},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.32898443937301636},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08844873309135437},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.08589640259742737},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0576213002204895},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3571600.3571625","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3571600.3571625","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirteenth Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2211.12926","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2211.12926","pdf_url":"https://arxiv.org/pdf/2211.12926","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2211.12926","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2211.12926","pdf_url":"https://arxiv.org/pdf/2211.12926","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1603767105","https://openalex.org/W1980972548","https://openalex.org/W2003813371","https://openalex.org/W2031039904","https://openalex.org/W2040335539","https://openalex.org/W2080133951","https://openalex.org/W2103577800","https://openalex.org/W2138621090","https://openalex.org/W2152790380","https://openalex.org/W2157364932","https://openalex.org/W2194187530","https://openalex.org/W2194775991","https://openalex.org/W2396419813","https://openalex.org/W2555897561","https://openalex.org/W2574981201","https://openalex.org/W2618530766","https://openalex.org/W2761306103","https://openalex.org/W2769805767","https://openalex.org/W2773584821","https://openalex.org/W2924296694","https://openalex.org/W2963012557","https://openalex.org/W2963061259","https://openalex.org/W2963331658","https://openalex.org/W2963341924","https://openalex.org/W2963775347","https://openalex.org/W2963889819","https://openalex.org/W2965555521","https://openalex.org/W2997947223","https://openalex.org/W3004846386","https://openalex.org/W3005680577","https://openalex.org/W3033424148","https://openalex.org/W3035060554","https://openalex.org/W3091905774","https://openalex.org/W3108655343","https://openalex.org/W3114632476","https://openalex.org/W3120984755","https://openalex.org/W3134652006","https://openalex.org/W4210271974","https://openalex.org/W4212915707","https://openalex.org/W4287812705","https://openalex.org/W4288022092","https://openalex.org/W4294649785","https://openalex.org/W4294733375","https://openalex.org/W6717697761","https://openalex.org/W6931202655"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W4382895929","https://openalex.org/W2164977745","https://openalex.org/W4247466689","https://openalex.org/W2381179799","https://openalex.org/W2156726901","https://openalex.org/W2940416500","https://openalex.org/W2980279061"],"abstract_inverted_index":{"In":[0],"this":[1,139],"paper,":[2],"we":[3,144,203],"study":[4,131],"the":[5,53,58,62,117,130,142,168,174,178,189,195,198,217],"problem":[6,22],"of":[7,10,61,77,123,132,171,219],"identifying":[8],"logos":[9,54,63,78,152,221],"business":[11,155],"brands":[12,156],"in":[13,16,52,106,141],"natural":[14,107],"scenes":[15],"an":[17,165],"open-set":[18],"one-shot":[19,190],"setting.":[20],"This":[21],"setup":[23],"is":[24,208,222],"significantly":[25],"more":[26,209],"challenging":[27],"than":[28],"traditionally-studied":[29],"\u2018closed-set\u2019":[30],"and":[31,82,102,110,186,197],"\u2018large-scale":[32],"training":[33],"samples":[34],"per":[35],"category\u2019":[36],"logo":[37,97,100,104,125,135,191],"recognition":[38],"settings.":[39],"We":[40,90],"propose":[41],"a":[42,80,120,224],"novel":[43],"multi-view":[44],"textual-visual":[45],"encoding":[46],"framework":[47,94,162],"that":[48,127,163,205],"encodes":[49],"text":[50],"appearing":[51],"as":[55,57],"well":[56,86],"graphical":[59],"design":[60],"to":[64,87,212],"learn":[65],"robust":[66],"contrastive":[67],"representations.":[68],"These":[69],"representations":[70],"are":[71],"jointly":[72],"learned":[73],"for":[74,95,153,177],"multiple":[75],"views":[76],"over":[79],"batch":[81],"thereby":[83],"they":[84],"generalize":[85],"unseen":[88],"logos.":[89],"evaluate":[91],"our":[92,206],"proposed":[93,161],"cropped":[96,99],"verification,":[98],"identification,":[101],"end-to-end":[103],"identification":[105,192],"scene":[108],"tasks;":[109],"compare":[111],"it":[112],"against":[113],"state-of-the-art":[114,182],"methods.":[115],"Further,":[116,202],"literature":[118],"lacks":[119],"\u2018very-large-scale\u2019":[121],"collection":[122],"reference":[124],"images":[126],"can":[128],"facilitate":[129],"one-hundred":[133],"thousand-scale":[134],"identification.":[136],"To":[137],"fill":[138],"gap":[140],"literature,":[143],"introduce":[145],"Wikidata":[146],"Reference":[147],"Logo":[148],"Dataset":[149],"(WiRLD),":[150],"containing":[151],"100K":[154,225],"harvested":[157],"from":[158],"Wikidata.":[159],"Our":[160],"achieves":[164],"area":[166],"under":[167],"ROC":[169],"curve":[170],"91.3%":[172],"on":[173,188,194,223],"QMUL-OpenLogo":[175],"dataset":[176],"verification":[179],"task,":[180],"outperforms":[181],"methods":[183],"by":[184],"9.1%":[185],"2.6%":[187],"task":[193],"Toplogos-10":[196],"FlickrLogos32":[199],"datasets,":[200],"respectively.":[201],"show":[204],"method":[207],"stable":[210],"compared":[211],"other":[213],"baselines":[214],"even":[215],"when":[216],"number":[218],"candidate":[220],"scale.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
