{"id":"https://openalex.org/W3008659207","doi":"https://doi.org/10.1145/3376067.3376105","title":"Rare Traffic Sign Recognition using Synthetic Training Data","display_name":"Rare Traffic Sign Recognition using Synthetic Training Data","publication_year":2019,"publication_date":"2019-12-20","ids":{"openalex":"https://openalex.org/W3008659207","doi":"https://doi.org/10.1145/3376067.3376105","mag":"3008659207"},"language":"en","primary_location":{"id":"doi:10.1145/3376067.3376105","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3376067.3376105","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Video and Image Processing","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/A5069058935","display_name":"Vlad Shakhuro","orcid":"https://orcid.org/0000-0002-1586-9257"},"institutions":[{"id":"https://openalex.org/I19880235","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69","country_code":"RU","type":"education","lineage":["https://openalex.org/I19880235"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Vlad Shakhuro","raw_affiliation_strings":["Lomonosov Moscow State University, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Lomonosov Moscow State University, Moscow, Russia","institution_ids":["https://openalex.org/I19880235"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062491850","display_name":"Boris Faizov","orcid":"https://orcid.org/0000-0003-4961-3820"},"institutions":[{"id":"https://openalex.org/I19880235","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69","country_code":"RU","type":"education","lineage":["https://openalex.org/I19880235"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Boris Faizov","raw_affiliation_strings":["Lomonosov Moscow State University, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Lomonosov Moscow State University, Moscow, Russia","institution_ids":["https://openalex.org/I19880235"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065787419","display_name":"Anton Konushin","orcid":"https://orcid.org/0000-0002-6152-0021"},"institutions":[{"id":"https://openalex.org/I4210141363","display_name":"Samsung (Russia)","ror":"https://ror.org/051an6p98","country_code":"RU","type":"company","lineage":["https://openalex.org/I4210141363"]},{"id":"https://openalex.org/I19880235","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69","country_code":"RU","type":"education","lineage":["https://openalex.org/I19880235"]},{"id":"https://openalex.org/I118501908","display_name":"National Research University Higher School of Economics","ror":"https://ror.org/055f7t516","country_code":"RU","type":"education","lineage":["https://openalex.org/I118501908"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Anton Konushin","raw_affiliation_strings":["Lomonosov Moscow State University, Moscow, Russia, NRU Higher School of Economics, Moscow, Russia, Samsung AI Center, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Lomonosov Moscow State University, Moscow, Russia, NRU Higher School of Economics, Moscow, Russia, Samsung AI Center, Moscow, Russia","institution_ids":["https://openalex.org/I19880235","https://openalex.org/I118501908","https://openalex.org/I4210141363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069058935"],"corresponding_institution_ids":["https://openalex.org/I19880235"],"apc_list":null,"apc_paid":null,"fwci":0.7086,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.75924861,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"23","last_page":"26"},"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9983999729156494,"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/computer-science","display_name":"Computer science","score":0.7256789803504944},{"id":"https://openalex.org/keywords/traffic-sign-recognition","display_name":"Traffic sign recognition","score":0.7187952995300293},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6613831520080566},{"id":"https://openalex.org/keywords/traffic-sign","display_name":"Traffic sign","score":0.5564353466033936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4861392676830292},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.45391255617141724},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.42723312973976135},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37495070695877075}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7256789803504944},{"id":"https://openalex.org/C6528762","wikidata":"https://www.wikidata.org/wiki/Q1574298","display_name":"Traffic sign recognition","level":4,"score":0.7187952995300293},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6613831520080566},{"id":"https://openalex.org/C2983860417","wikidata":"https://www.wikidata.org/wiki/Q170285","display_name":"Traffic sign","level":3,"score":0.5564353466033936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4861392676830292},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.45391255617141724},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.42723312973976135},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37495070695877075},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3376067.3376105","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3376067.3376105","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Video and Image Processing","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":14,"referenced_works":["https://openalex.org/W764651262","https://openalex.org/W2095705004","https://openalex.org/W2141125852","https://openalex.org/W2163605009","https://openalex.org/W2340897893","https://openalex.org/W2432612364","https://openalex.org/W2487365028","https://openalex.org/W2605135824","https://openalex.org/W2743627947","https://openalex.org/W2765407302","https://openalex.org/W2962793481","https://openalex.org/W2964137095","https://openalex.org/W4234552385","https://openalex.org/W4301409532"],"related_works":["https://openalex.org/W4382897155","https://openalex.org/W4379231512","https://openalex.org/W4283820116","https://openalex.org/W4378699879","https://openalex.org/W3128164723","https://openalex.org/W4286647459","https://openalex.org/W2899819381","https://openalex.org/W2557202782","https://openalex.org/W3215426395","https://openalex.org/W2790032261"],"abstract_inverted_index":{"Modern":[0],"computer":[1],"vision":[2],"methods":[3,33,58],"usually":[4],"require":[5],"lots":[6],"of":[7,14,30,51,70,72,106,108,115,124],"labelled":[8],"data":[9,62,117],"for":[10,59,63,121],"training.":[11],"Besides":[12],"price":[13],"labelling,":[15],"problems":[16,37],"with":[17,95],"rare":[18,109],"object":[19],"classes":[20],"and":[21,79,112],"adaptation":[22],"to":[23,34,39,91],"new":[24],"domain":[25],"or":[26],"task":[27,50],"arise.":[28],"One":[29],"the":[31],"promising":[32],"solve":[35],"these":[36],"is":[38,118],"generate":[40],"synthetic":[41,61,96,116],"training":[42,64,123],"data.":[43],"In":[44],"this":[45],"work":[46],"we":[47],"focus":[48],"on":[49],"traffic":[52,65,110,125],"sign":[53,66,126],"detection.":[54],"We":[55,86],"consider":[56],"several":[57],"generating":[60],"detectors:":[67],"random":[68],"placement":[69],"signs":[71,94,111],"different":[73],"quality":[74,105],"(simple":[75],"synthetic,":[76],"CGI":[77,80],"based":[78],"improved":[81],"using":[82],"generative":[83],"adversarial":[84],"network).":[85],"also":[87],"propose":[88],"a":[89],"method":[90,103],"replace":[92],"real":[93],"signs.":[97],"Experimental":[98],"evaluation":[99],"shows":[100],"that":[101,113],"proposed":[102],"improves":[104],"detection":[107],"usage":[114],"very":[119],"helpful":[120],"improving":[122],"classifier.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
