{"id":"https://openalex.org/W3198037736","doi":"https://doi.org/10.1145/3460426.3463623","title":"NASTER: Non-local Attentional Scene Text Recognizer","display_name":"NASTER: Non-local Attentional Scene Text Recognizer","publication_year":2021,"publication_date":"2021-08-24","ids":{"openalex":"https://openalex.org/W3198037736","doi":"https://doi.org/10.1145/3460426.3463623","mag":"3198037736"},"language":"en","primary_location":{"id":"doi:10.1145/3460426.3463623","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460426.3463623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 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/A5102663429","display_name":"Lei Wu","orcid":"https://orcid.org/0009-0007-3024-0370"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Wu","raw_affiliation_strings":["Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101993173","display_name":"Xueliang Liu","orcid":"https://orcid.org/0000-0003-0077-9715"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueliang Liu","raw_affiliation_strings":["Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043525989","display_name":"Yanbin Hao","orcid":"https://orcid.org/0000-0002-0695-1566"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanbin Hao","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109987483","display_name":"Yunjie Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunjie Ma","raw_affiliation_strings":["Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051332325","display_name":"Richang Hong","orcid":"https://orcid.org/0000-0001-5461-3986"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Richang Hong","raw_affiliation_strings":["Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102663429"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":0.1921,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.49034314,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"331","last_page":"338"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":1.0,"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":1.0,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9829000234603882,"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":0.9818000197410583,"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":0.8290132880210876},{"id":"https://openalex.org/keywords/decodes","display_name":"Decodes","score":0.6982377767562866},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6401983499526978},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6356762051582336},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6244170069694519},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.612406313419342},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5738197565078735},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.560806155204773},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47868043184280396},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4635562002658844},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4493029713630676},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.42806971073150635},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4262975752353668},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32550108432769775},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13119947910308838}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8290132880210876},{"id":"https://openalex.org/C2778858076","wikidata":"https://www.wikidata.org/wiki/Q5249539","display_name":"Decodes","level":3,"score":0.6982377767562866},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6401983499526978},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6356762051582336},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6244170069694519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.612406313419342},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5738197565078735},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.560806155204773},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47868043184280396},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4635562002658844},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4493029713630676},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.42806971073150635},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4262975752353668},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32550108432769775},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13119947910308838},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3460426.3463623","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460426.3463623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7042539249","display_name":null,"funder_award_id":"2018AAA0102002","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8587240586","display_name":null,"funder_award_id":"61976076, 61632007, 61932009 and 61806066","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W1922126009","https://openalex.org/W1971822075","https://openalex.org/W1981283549","https://openalex.org/W1998042868","https://openalex.org/W2194187530","https://openalex.org/W2239173263","https://openalex.org/W2740767790","https://openalex.org/W2750938222","https://openalex.org/W2810983211","https://openalex.org/W2911295582","https://openalex.org/W2963420686","https://openalex.org/W2963526661","https://openalex.org/W2963712589","https://openalex.org/W2965066169","https://openalex.org/W2978036638","https://openalex.org/W2982220924","https://openalex.org/W3004846386","https://openalex.org/W3013224334"],"related_works":["https://openalex.org/W2030492936","https://openalex.org/W1504288058","https://openalex.org/W2331674254","https://openalex.org/W2167293474","https://openalex.org/W3042897387","https://openalex.org/W2048505601","https://openalex.org/W2017205855","https://openalex.org/W2116675934","https://openalex.org/W4287186213","https://openalex.org/W3157428800"],"abstract_inverted_index":{"Scene":[0,71,78],"text":[1,30],"recognition":[2],"has":[3],"been":[4],"widely":[5],"investigated":[6],"in":[7,40,103],"computer":[8],"vision.":[9],"In":[10],"the":[11,13,44,106,126,134],"literature,":[12],"encoder-decoder":[14],"based":[15],"framework,":[16],"which":[17],"first":[18],"encodes":[19],"image":[20],"into":[21,28,58],"feature":[22],"map":[23],"and":[24,109],"then":[25,101],"decodes":[26],"them":[27],"corresponding":[29,59],"sequences,":[31],"have":[32],"achieved":[33],"great":[34],"success.":[35],"However,":[36],"this":[37,63],"solution":[38],"fails":[39],"low-quality":[41],"images,":[42],"as":[43],"local":[45],"visual":[46,94],"features":[47],"extracted":[48],"from":[49],"curved":[50],"or":[51],"blurred":[52],"images":[53],"are":[54],"difficult":[55],"to":[56,91],"decode":[57],"text.":[60],"To":[61],"address":[62],"issue,":[64],"we":[65],"propose":[66],"a":[67,113],"new":[68],"framework":[69],"for":[70],"Text":[72,79],"Recognition":[73],"(STR),":[74],"named":[75],"Non-Local":[76],"Attentional":[77],"Recognizer":[80],"(NASTER).":[81],"We":[82],"use":[83],"ResNet":[84],"with":[85,117],"Global":[86],"Context":[87],"Block":[88],"(GC":[89],"block)":[90],"extract":[92],"global":[93,97],"features.":[95],"The":[96,122],"context":[98],"information":[99],"is":[100],"captured":[102],"parallel":[104],"using":[105],"self-attention":[107],"module":[108],"finally":[110],"decoded":[111],"by":[112],"multi-layer":[114],"attention":[115],"decoder":[116],"an":[118],"intermediate":[119],"supervision":[120],"module.":[121],"proposed":[123],"method":[124],"achieves":[125],"state-of-the-art":[127],"performances":[128],"on":[129],"seven":[130],"benchmark":[131],"datasets,":[132],"demonstrating":[133],"effectiveness":[135],"of":[136],"our":[137],"approach.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
