乐胖代购免代理版

{"id":"https://openalex.org/W4221126462","doi":"https://doi.org/10.1145/3526217","title":"QEST: Quantized and Efficient Scene Text Detector Using Deep Learning","display_name":"QEST: Quantized and Efficient Scene Text Detector Using Deep Learning","publication_year":2022,"publication_date":"2022-03-26","ids":{"openalex":"https://openalex.org/W4221126462","doi":"https://doi.org/10.1145/3526217"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3526217","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":"https://doi.org/10.1145/3526217","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069313193","display_name":"Kanak Manjari","orcid":"https://orcid.org/0000-0002-2257-8474"},"institutions":[{"id":"https://openalex.org/I3129773123","display_name":"Bennett University","ror":"https://ror.org/00an5hx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I3129773123"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kanak Manjari","raw_affiliation_strings":["School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India"],"affiliations":[{"raw_affiliation_string":"School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India","institution_ids":["https://openalex.org/I3129773123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020275503","display_name":"Madhushi Verma","orcid":"https://orcid.org/0000-0003-1996-2077"},"institutions":[{"id":"https://openalex.org/I3129773123","display_name":"Bennett University","ror":"https://ror.org/00an5hx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I3129773123"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Madhushi Verma","raw_affiliation_strings":["School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India"],"affiliations":[{"raw_affiliation_string":"School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India","institution_ids":["https://openalex.org/I3129773123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004356009","display_name":"Gaurav Singal","orcid":"https://orcid.org/0000-0001-7570-6292"},"institutions":[{"id":"https://openalex.org/I36090812","display_name":"Netaji Subhas University of Technology","ror":"https://ror.org/01fczmh85","country_code":"IN","type":"education","lineage":["https://openalex.org/I36090812"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gaurav Singal","raw_affiliation_strings":["Department of Computer Science and Engineering, Netaji Subhas University of Technology, Delhi, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Netaji Subhas University of Technology, Delhi, India","institution_ids":["https://openalex.org/I36090812"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005243538","display_name":"Suyel Namasudra","orcid":"https://orcid.org/0000-0002-0191-0175"},"institutions":[{"id":"https://openalex.org/I4210116615","display_name":"Universidad Internacional De La Rioja","ror":"https://ror.org/029gnnp81","country_code":"ES","type":"education","lineage":["https://openalex.org/I4210116615"]},{"id":"https://openalex.org/I11793825","display_name":"National Institute of Technology Patna","ror":"https://ror.org/056wyhh33","country_code":"IN","type":"education","lineage":["https://openalex.org/I11793825","https://openalex.org/I4210152752"]}],"countries":["ES","IN"],"is_corresponding":false,"raw_author_name":"Suyel Namasudra","raw_affiliation_strings":["Department of Computer Science and Engineering, National Institute of Technology Patna, Bihar, India; Universidad Internacional de La Rioja, Logro\u00f1o, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Institute of Technology Patna, Bihar, India; Universidad Internacional de La Rioja, Logro\u00f1o, Spain","institution_ids":["https://openalex.org/I4210116615","https://openalex.org/I11793825"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.933,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.999942,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":94},"biblio":{"volume":"22","issue":"5","first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998,"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":0.9998,"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":0.9951,"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/T13674","display_name":"Computer Science and Engineering","score":0.9768,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/text-detection","display_name":"Text Detection","score":0.4466564}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7893864},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7258887},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6972994},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.63127005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5977308},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5172906},{"id":"https://openalex.org/C2983589003","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Text detection","level":3,"score":0.4466564},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39178517},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3862664},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32556015},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22280961},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06900436},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3526217","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3526217","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":48,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W1963538990","https://openalex.org/W2163113724","https://openalex.org/W2194775991","https://openalex.org/W2416799949","https://openalex.org/W2546095991","https://openalex.org/W2559496264","https://openalex.org/W2567511513","https://openalex.org/W2605076167","https://openalex.org/W2605982830","https://openalex.org/W2748705668","https://openalex.org/W2800763202","https://openalex.org/W2809828060","https://openalex.org/W2810028092","https://openalex.org/W2955710688","https://openalex.org/W2962298324","https://openalex.org/W2963122961","https://openalex.org/W2964018263","https://openalex.org/W2971909424","https://openalex.org/W2987240205","https://openalex.org/W2996421194","https://openalex.org/W3000372470","https://openalex.org/W3011451419","https://openalex.org/W3012458836","https://openalex.org/W3021403875","https://openalex.org/W3023801169","https://openalex.org/W3024377038","https://openalex.org/W3037893050","https://openalex.org/W3092965232","https://openalex.org/W3096005429","https://openalex.org/W3102695566","https://openalex.org/W3106250896","https://openalex.org/W3108824576","https://openalex.org/W3130875629","https://openalex.org/W3131251978","https://openalex.org/W3132069728","https://openalex.org/W3133641570","https://openalex.org/W3140428646","https://openalex.org/W3158639405","https://openalex.org/W3165787555","https://openalex.org/W3189602862","https://openalex.org/W3195789291","https://openalex.org/W3198961544","https://openalex.org/W3208515366","https://openalex.org/W3211972736","https://openalex.org/W4243808599","https://openalex.org/W4293085090","https://openalex.org/W4401493421"],"related_works":["https://openalex.org/W4390618967","https://openalex.org/W4205655149","https://openalex.org/W2795393339","https://openalex.org/W2626393719","https://openalex.org/W2366906938","https://openalex.org/W2349391998","https://openalex.org/W2174745845","https://openalex.org/W2074467390","https://openalex.org/W2055243143","https://openalex.org/W2000775715"],"abstract_inverted_index":{"Scene":[0],"text":[1,35,75],"detection":[2,36],"is":[3,167],"complicated":[4],"and":[5,23,26,46,71,83,107,119,140,147,160],"one":[6],"of":[7,30,42,73,116,153],"the":[8,31,39,69,92,98,111,124,128,151,154,158,164,171],"most":[9],"challenging":[10],"tasks":[11],"due":[12],"to":[13,67,90,105,149],"different":[14],"environmental":[15],"restrictions,":[16],"such":[17],"as":[18,85],"illuminations,":[19],"lighting":[20],"conditions,":[21],"tiny":[22],"curved":[24],"texts,":[25],"many":[27],"more.":[28],"Most":[29],"works":[32],"on":[33,81],"scene":[34,74],"have":[37,142],"overlooked":[38],"primary":[40],"goal":[41],"increasing":[43],"model":[44,60,79,94,112,166],"accuracy":[45,70],"efficiency,":[47],"resulting":[48,93],"in":[49,64],"heavy-weight":[50],"models":[51],"that":[52,163],"require":[53],"more":[54,168],"processing":[55],"resources.":[56],"A":[57],"novel":[58],"lightweight":[59],"has":[61,100],"been":[62,101,143],"developed":[63],"this":[65],"article":[66],"improve":[68],"efficiency":[72],"detection.":[76],"The":[77],"proposed":[78,125,155,165],"relies":[80],"ResNet50":[82],"MobileNetV2":[84],"backbones":[86],"with":[87],"quantization":[88],"used":[89],"make":[91],"lightweight.":[95,113],"During":[96],"quantization,":[97],"precision":[99],"changed":[102],"from":[103],"float32":[104],"float16":[106],"int8":[108],"for":[109,145],"making":[110],"In":[114],"terms":[115],"inference":[117],"time":[118],"Floating-Point":[120],"Operations":[121],"Per":[122],"Second,":[123],"method":[126],"outperforms":[127],"state-of-the-art":[129],"techniques":[130],"by":[131],"around":[132],"30\u2013100":[133],"times.":[134],"Here,":[135],"well-known":[136],"datasets,":[137],"i.e.,":[138],"ICDAR2015":[139],"ICDAR2019,":[141],"utilized":[144],"training":[146],"testing":[148],"validate":[150],"performance":[152],"model.":[156],"Finally,":[157],"findings":[159],"discussion":[161],"indicate":[162],"efficient":[169],"than":[170],"existing":[172],"schemes.":[173]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4221126462","counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3}],"updated_date":"2025-01-07T23:58:53.996288","created_date":"2022-04-03"}