{"id":"https://openalex.org/W2678930123","doi":"https://doi.org/10.1109/icassp.2017.7952435","title":"Deep salience map guided arbitrary direction scene text recognition","display_name":"Deep salience map guided arbitrary direction scene text recognition","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2678930123","doi":"https://doi.org/10.1109/icassp.2017.7952435","mag":"2678930123"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7952435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952435","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5083694367","display_name":"Xinhao Liu","orcid":"https://orcid.org/0000-0002-5640-1837"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Xinhao Liu","raw_affiliation_strings":["NTT Corporation, Kanagawa, Japan 243-0198","NTT Corporation, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Corporation, Kanagawa, Japan 243-0198","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Corporation, Kanagawa, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029349765","display_name":"Takahito Kawanishi","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahito Kawanishi","raw_affiliation_strings":["NTT Corporation, Kanagawa, Japan 243-0198","NTT Corporation, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Corporation, Kanagawa, Japan 243-0198","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Corporation, Kanagawa, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036223449","display_name":"Xiaomeng Wu","orcid":"https://orcid.org/0000-0003-2816-1781"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xiaomeng Wu","raw_affiliation_strings":["NTT Corporation, Kanagawa, Japan 243-0198","NTT Corporation, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Corporation, Kanagawa, Japan 243-0198","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Corporation, Kanagawa, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112132273","display_name":"Kaoru Hiramatsu","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kaoru Hiramatsu","raw_affiliation_strings":["NTT Corporation, Kanagawa, Japan 243-0198","NTT Corporation, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Corporation, Kanagawa, Japan 243-0198","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Corporation, Kanagawa, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061465935","display_name":"Kunio Kashino","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kunio Kashino","raw_affiliation_strings":["NTT Corporation, Kanagawa, Japan 243-0198","NTT Corporation, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Corporation, Kanagawa, Japan 243-0198","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Corporation, Kanagawa, Japan","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5083694367"],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06822991,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1642","last_page":"1646"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9977999925613403,"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":0.9972000122070312,"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/salience","display_name":"Salience (neuroscience)","score":0.7987274527549744},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.791377067565918},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7494755983352661},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.6181638240814209},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5849497318267822},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5357071161270142},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5102963447570801},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4977755844593048},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.47900646924972534},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3846931457519531},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3441805839538574}],"concepts":[{"id":"https://openalex.org/C108154423","wikidata":"https://www.wikidata.org/wiki/Q1469792","display_name":"Salience (neuroscience)","level":2,"score":0.7987274527549744},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.791377067565918},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7494755983352661},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.6181638240814209},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5849497318267822},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5357071161270142},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5102963447570801},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4977755844593048},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.47900646924972534},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3846931457519531},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3441805839538574},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"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:10.1109/icassp.2017.7952435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952435","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W70975097","https://openalex.org/W845365781","https://openalex.org/W1521064364","https://openalex.org/W1557952530","https://openalex.org/W1607307044","https://openalex.org/W1686810756","https://openalex.org/W1895191496","https://openalex.org/W1903029394","https://openalex.org/W1922126009","https://openalex.org/W1972065312","https://openalex.org/W1978729128","https://openalex.org/W1981283549","https://openalex.org/W1998042868","https://openalex.org/W2048716406","https://openalex.org/W2053317383","https://openalex.org/W2064675550","https://openalex.org/W2069472161","https://openalex.org/W2099247484","https://openalex.org/W2122221966","https://openalex.org/W2127141656","https://openalex.org/W2146835493","https://openalex.org/W2266336509","https://openalex.org/W2339589954","https://openalex.org/W2404161323","https://openalex.org/W2962790387","https://openalex.org/W2963517393","https://openalex.org/W2963718330","https://openalex.org/W6602936574","https://openalex.org/W6631165897","https://openalex.org/W6633516429","https://openalex.org/W6636382570","https://openalex.org/W6642972425","https://openalex.org/W6649973027","https://openalex.org/W6693521474"],"related_works":["https://openalex.org/W4298287631","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3008584592","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Irregular":[0],"scene":[1,14,42],"text":[2,32,69],"such":[3],"as":[4],"curved,":[5],"rotated":[6],"or":[7,112],"perspective":[8],"texts":[9],"commonly":[10],"appear":[11],"in":[12],"natural":[13],"images":[15],"due":[16],"to":[17,37,52,74,106,114],"different":[18,107],"camera":[19],"view":[20],"points,":[21],"special":[22],"design":[23],"purposes":[24],"etc.":[25],"In":[26],"this":[27,72],"work,":[28],"we":[29,61],"propose":[30],"a":[31,46,88],"salience":[33,56],"map":[34,57],"guided":[35],"model":[36],"recognize":[38],"these":[39],"arbitrary":[40],"direction":[41],"texts.":[43,59],"We":[44],"train":[45],"deep":[47],"Fully":[48],"Convolutional":[49],"Network":[50,91],"(FCN)":[51],"calculate":[53],"the":[54,63,68,76,83,101,115],"precise":[55],"for":[58],"Then":[60],"estimate":[62],"positions":[64],"and":[65,70,109],"rotations":[66],"of":[67,78],"utilize":[71],"information":[73],"guide":[75],"generation":[77],"CNN":[79],"sequence":[80,84],"features.":[81],"Finally":[82],"is":[85,104],"recognized":[86],"with":[87],"Recurrent":[89],"Neural":[90],"(RNN)":[92],"model.":[93],"Experiments":[94],"on":[95],"various":[96],"public":[97],"datasets":[98],"show":[99],"that":[100],"proposed":[102],"approach":[103],"robust":[105],"distortions":[108],"performs":[110],"superior":[111],"comparable":[113],"state-of-the-art":[116],"techniques.":[117]},"counts_by_year":[],"updated_date":"2026-03-14T06:41:57.775601","created_date":"2025-10-10T00:00:00"}