{"id":"https://openalex.org/W3010485526","doi":"https://doi.org/10.1109/wacv45572.2020.9093597","title":"Adapting Style and Content for Attended Text Sequence Recognition","display_name":"Adapting Style and Content for Attended Text Sequence Recognition","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3010485526","doi":"https://doi.org/10.1109/wacv45572.2020.9093597","mag":"3010485526"},"language":"en","primary_location":{"id":"doi:10.1109/wacv45572.2020.9093597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","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/A5024568738","display_name":"Steven L. Schwarcz","orcid":"https://orcid.org/0000-0001-6252-7025"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Steven Schwarcz","raw_affiliation_strings":["University of Marlyand"],"affiliations":[{"raw_affiliation_string":"University of Marlyand","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058069510","display_name":"Alexander N. Gorban","orcid":"https://orcid.org/0000-0001-6224-1430"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander Gorban","raw_affiliation_strings":["Google Research"],"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082514252","display_name":"Xavier Gibert Serra","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xavier Gibert Serra","raw_affiliation_strings":["Google Research"],"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023392405","display_name":"Dar-Shyang Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dar-Shyang Lee","raw_affiliation_strings":["Google Research"],"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024568738"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1954,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46891174,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"17","issue":null,"first_page":"1586","last_page":"1595"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9976000189781189,"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/hebrew","display_name":"Hebrew","score":0.9133619070053101},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7849546074867249},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5948013663291931},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.5531307458877563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5459054112434387},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5112884044647217},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.48425695300102234},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.46805045008659363},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.45723944902420044},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.44623667001724243},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4294791519641876},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.3401004672050476},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.17476648092269897},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.07211890816688538}],"concepts":[{"id":"https://openalex.org/C91304198","wikidata":"https://www.wikidata.org/wiki/Q9288","display_name":"Hebrew","level":2,"score":0.9133619070053101},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7849546074867249},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5948013663291931},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.5531307458877563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5459054112434387},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5112884044647217},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.48425695300102234},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.46805045008659363},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.45723944902420044},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.44623667001724243},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4294791519641876},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.3401004672050476},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.17476648092269897},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.07211890816688538},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv45572.2020.9093597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":80,"referenced_works":["https://openalex.org/W22861983","https://openalex.org/W1565327149","https://openalex.org/W1731081199","https://openalex.org/W1817149219","https://openalex.org/W1882958252","https://openalex.org/W1956804535","https://openalex.org/W1977561118","https://openalex.org/W2051227896","https://openalex.org/W2099471712","https://openalex.org/W2100969003","https://openalex.org/W2104094955","https://openalex.org/W2104439255","https://openalex.org/W2112796928","https://openalex.org/W2120354757","https://openalex.org/W2130942839","https://openalex.org/W2159291411","https://openalex.org/W2163605009","https://openalex.org/W2183341477","https://openalex.org/W2187089797","https://openalex.org/W2300366791","https://openalex.org/W2335728318","https://openalex.org/W2337363174","https://openalex.org/W2511131004","https://openalex.org/W2520000195","https://openalex.org/W2562192638","https://openalex.org/W2584009249","https://openalex.org/W2593768305","https://openalex.org/W2594718649","https://openalex.org/W2605488490","https://openalex.org/W2610850660","https://openalex.org/W2739759330","https://openalex.org/W2744915377","https://openalex.org/W2769672616","https://openalex.org/W2786559811","https://openalex.org/W2798593490","https://openalex.org/W2805394970","https://openalex.org/W2907905507","https://openalex.org/W2953127297","https://openalex.org/W2962687275","https://openalex.org/W2962808524","https://openalex.org/W2962823940","https://openalex.org/W2962912551","https://openalex.org/W2962970380","https://openalex.org/W2963088995","https://openalex.org/W2963275094","https://openalex.org/W2963801463","https://openalex.org/W2963826681","https://openalex.org/W2963895734","https://openalex.org/W2963897095","https://openalex.org/W2964057616","https://openalex.org/W2964115968","https://openalex.org/W2964288524","https://openalex.org/W2964312704","https://openalex.org/W3098341425","https://openalex.org/W3101281919","https://openalex.org/W3146885639","https://openalex.org/W4320013936","https://openalex.org/W6600949241","https://openalex.org/W6633949838","https://openalex.org/W6637618735","https://openalex.org/W6638400058","https://openalex.org/W6639480849","https://openalex.org/W6640912364","https://openalex.org/W6678296315","https://openalex.org/W6679436768","https://openalex.org/W6683633756","https://openalex.org/W6684191040","https://openalex.org/W6685415078","https://openalex.org/W6703116779","https://openalex.org/W6720111944","https://openalex.org/W6725448924","https://openalex.org/W6730623217","https://openalex.org/W6735050833","https://openalex.org/W6746148458","https://openalex.org/W6746282794","https://openalex.org/W6748312029","https://openalex.org/W6750418324","https://openalex.org/W6750426974","https://openalex.org/W6752002221","https://openalex.org/W6752194381"],"related_works":["https://openalex.org/W3080655457","https://openalex.org/W2145868540","https://openalex.org/W3136267388","https://openalex.org/W4287263085","https://openalex.org/W3186065094","https://openalex.org/W3093803318","https://openalex.org/W4390401377","https://openalex.org/W3204418343","https://openalex.org/W3166286441","https://openalex.org/W3214142563"],"abstract_inverted_index":{"In":[0,67],"this":[1],"paper,":[2],"we":[3,72,161],"address":[4],"the":[5,98,145,159],"problem":[6],"of":[7,15,52,97,114,121,158],"learning":[8,65],"to":[9,41,69,132,163],"perform":[10],"sequential":[11],"OCR":[12],"on":[13,45,59,137],"photos":[14],"street":[16,123,140],"name":[17,124,141],"signs":[18,125],"in":[19,38,126],"a":[20,50,53,63,111,118,134],"language":[21],"for":[22],"which":[23],"no":[24],"labeled":[25,36,119],"data":[26,33,37,148,152],"exists.":[27],"Our":[28],"approach":[29],"leverages":[30],"easily-generated":[31],"synthetic":[32,112,146],"and":[34,62,74,85,117,149],"existing":[35,99],"other":[39],"languages":[40],"achieve":[42,133],"reasonable":[43],"performance":[44],"these":[46],"unlabeled":[47],"images,":[48,128],"through":[49],"combination":[51],"novel":[54],"domain":[55],"adaptation":[56],"technique":[57],"based":[58],"gradient":[60],"reversal":[61],"multi-task":[64],"scheme.":[66],"order":[68],"accomplish":[70],"this,":[71],"introduce":[73],"release":[75],"two":[76],"new":[77],"datasets":[78],"-":[79,92],"Hebrew":[80,87,115,139,147],"Street":[81,88,101],"Name":[82,89,102],"Signs":[83,90,103],"(HSNS)":[84],"Synthetic":[86],"(SynHSNS)":[91],"while":[93],"also":[94],"making":[95],"use":[96],"French":[100,122,151],"(FSNS)":[104],"dataset.":[105],"We":[106],"demonstrate":[107],"that":[108],"by":[109],"using":[110],"dataset":[113,120],"characters":[116],"natural":[127],"it":[129],"is":[130],"possible":[131],"significant":[135],"improvement":[136],"real":[138,150],"sign":[142],"transcription,":[143],"where":[144],"each":[153],"overlap":[154],"with":[155],"different":[156],"features":[157],"images":[160],"wish":[162],"transcribe.":[164]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}