乐胖代购免代理版

{"id":"https://openalex.org/W2894624991","doi":"https://doi.org/10.1109/asar.2018.8480394","title":"Deep FCN for Arabic Scene Text Detection","display_name":"Deep FCN for Arabic Scene Text Detection","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2894624991","doi":"https://doi.org/10.1109/asar.2018.8480394","mag":"2894624991"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/asar.2018.8480394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5000815902","display_name":"Ines Beltaief","orcid":null},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Ines Beltaief","raw_affiliation_strings":["REGIM-Lab.: REsearch Groups in Intelligent Machines, University of Sfax, Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"REGIM-Lab.: REsearch Groups in Intelligent Machines, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064452305","display_name":"Mohamed Ben Halima","orcid":"https://orcid.org/0000-0002-3224-2552"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mohamed Ben Halima","raw_affiliation_strings":["REGIM-Lab.: REsearch Groups in Intelligent Machines, University of Sfax, Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"REGIM-Lab.: REsearch Groups in Intelligent Machines, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.485,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":5,"citation_normalized_percentile":{"value":0.609772,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":79,"max":80},"biblio":{"volume":null,"issue":null,"first_page":"129","last_page":"134"},"is_retracted":false,"is_paratext":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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9929,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9911,"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/text-detection","display_name":"Text Detection","score":0.8680758},{"id":"https://openalex.org/keywords/text-recognition","display_name":"Text recognition","score":0.60164243}],"concepts":[{"id":"https://openalex.org/C2983589003","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Text detection","level":3,"score":0.8680758},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7723979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.68932194},{"id":"https://openalex.org/C96455323","wikidata":"https://www.wikidata.org/wiki/Q13955","display_name":"Arabic","level":2,"score":0.6822486},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6127114},{"id":"https://openalex.org/C2983812711","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Text recognition","level":3,"score":0.60164243},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5658405},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4934639},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.47039756},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.41898757},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3777032},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35517928},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35056773},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33912495},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.14197367},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06918472},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/asar.2018.8480394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.76,"display_name":"Quality education"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":28,"referenced_works":["https://openalex.org/W151290908","https://openalex.org/W1581440571","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1972065312","https://openalex.org/W2102605133","https://openalex.org/W2129987527","https://openalex.org/W2142159465","https://openalex.org/W2142380309","https://openalex.org/W2145023731","https://openalex.org/W2194187530","https://openalex.org/W2204328893","https://openalex.org/W2339589954","https://openalex.org/W2344822769","https://openalex.org/W2436394148","https://openalex.org/W2464918637","https://openalex.org/W2515655118","https://openalex.org/W2574887079","https://openalex.org/W2582730511","https://openalex.org/W2597065416","https://openalex.org/W2605982830","https://openalex.org/W2607875526","https://openalex.org/W2614453579","https://openalex.org/W2787098882","https://openalex.org/W2951183746","https://openalex.org/W2962992847","https://openalex.org/W2964121744","https://openalex.org/W639708223"],"related_works":["https://openalex.org/W950386562","https://openalex.org/W4312663241","https://openalex.org/W4296586882","https://openalex.org/W4221004363","https://openalex.org/W3211262047","https://openalex.org/W3179752470","https://openalex.org/W3103048049","https://openalex.org/W2963299604","https://openalex.org/W2894624991","https://openalex.org/W2363517123"],"abstract_inverted_index":{"Visual":[0],"text":[1,43,80,100,106],"is":[2,31],"considered":[3],"as":[4,87],"one":[5],"of":[6,11,32,37],"the":[7,38,59,75,83,121],"major":[8],"indispensable":[9],"aspects":[10],"communication":[12],"field":[13],"used":[14,120],"by":[15],"individuals":[16],"and":[17,26,54,90,115],"broadly":[18],"applied":[19],"in":[20],"our":[21],"daily":[22],"Transactions.":[23],"Thus,":[24],"detecting":[25,42],"exploiting":[27],"this":[28],"textual":[29],"information":[30],"a":[33,88,95],"big":[34],"prominence.":[35],"State":[36],"art":[39],"methods":[40],"for":[41],"on":[44,51,66,71,78],"printed":[45],"documents":[46],"has":[47],"achieved":[48],"impressing":[49],"results":[50],"both":[52],"accuracy":[53],"precision":[55],"values":[56],"thanks":[57],"to":[58,74,103],"sophisticated":[60],"deep":[61,96],"earning":[62],"approaches,":[63],"while":[64],"researchers":[65],"natural":[67],"scenes":[68],"images":[69],"still":[70],"progress":[72],"due":[73],"various":[76],"difficulties":[77],"distinguishing":[79],"candidates":[81],"from":[82],"remaining":[84],"shapes.":[85],"wherefore,":[86],"fast":[89],"efficient":[91],"solution,":[92],"we":[93,118],"propose":[94],"incorporated":[97],"multilingual":[98],"scene":[99],"detector":[101],"system":[102],"forthwith":[104],"localize":[105],"using":[107],"an":[108],"end-to-end":[109],"trainable":[110],"single":[111],"Network.":[112],"For":[113],"training":[114],"testing":[116],"stages,":[117],"have":[119],"ACTIV":[122],"[24]":[123],"dataset.":[124]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2894624991","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2024-12-30T08:32:42.106418","created_date":"2018-10-12"}