{"id":"https://openalex.org/W3123709332","doi":"https://doi.org/10.3390/s21030888","title":"R-YOLO: A Real-Time Text Detector for Natural Scenes with Arbitrary Rotation","display_name":"R-YOLO: A Real-Time Text Detector for Natural Scenes with Arbitrary Rotation","publication_year":2021,"publication_date":"2021-01-28","ids":{"openalex":"https://openalex.org/W3123709332","doi":"https://doi.org/10.3390/s21030888","mag":"3123709332","pmid":"https://pubmed.ncbi.nlm.nih.gov/33525619"},"language":"en","primary_location":{"id":"doi:10.3390/s21030888","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21030888","pdf_url":"https://www.mdpi.com/1424-8220/21/3/888/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/3/888/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056187513","display_name":"Xiqi Wang","orcid":"https://orcid.org/0000-0003-3442-2474"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiqi Wang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"raw_orcid":"https://orcid.org/0000-0003-3442-2474","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049344677","display_name":"Shunyi Zheng","orcid":"https://orcid.org/0000-0001-5594-3493"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shunyi Zheng","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004750246","display_name":"Ce Zhang","orcid":"https://orcid.org/0000-0001-5100-3584"},"institutions":[{"id":"https://openalex.org/I4210092773","display_name":"UK Centre for Ecology & Hydrology","ror":"https://ror.org/00pggkr55","country_code":"GB","type":"other","lineage":["https://openalex.org/I4210092773"]},{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ce Zhang","raw_affiliation_strings":["Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK","UK Centre for Ecology & Hydrology, Library Avenue, Bailrigg, Lancaster LA1 4AP, UK"],"raw_orcid":"https://orcid.org/0000-0001-5100-3584","affiliations":[{"raw_affiliation_string":"Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK","institution_ids":["https://openalex.org/I67415387"]},{"raw_affiliation_string":"UK Centre for Ecology & Hydrology, Library Avenue, Bailrigg, Lancaster LA1 4AP, UK","institution_ids":["https://openalex.org/I4210092773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100448367","display_name":"Rui Li","orcid":"https://orcid.org/0000-0001-7858-3160"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Li","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"raw_orcid":"https://orcid.org/0000-0001-7858-3160","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100710586","display_name":"Li Gui","orcid":"https://orcid.org/0000-0002-1357-6338"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Gui","raw_affiliation_strings":["Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China","School of Electronic Information, Wuhan University, Wuhan 430079, China","School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5049344677"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.9102,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.92376067,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"21","issue":"3","first_page":"888","last_page":"888"},"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9923999905586243,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9807000160217285,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6900263428688049},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.6859492063522339},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6779218912124634},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6023005247116089},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5408426523208618},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.5268387198448181},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5153710246086121},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.4923197031021118},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4804810583591461},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4652007520198822},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4642745852470398},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45971372723579407},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.45489779114723206},{"id":"https://openalex.org/keywords/text-detection","display_name":"Text detection","score":0.431626558303833},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.41986095905303955},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4104804992675781},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1798277199268341},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09243372082710266}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6900263428688049},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6859492063522339},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6779218912124634},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6023005247116089},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5408426523208618},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.5268387198448181},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5153710246086121},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.4923197031021118},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4804810583591461},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4652007520198822},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4642745852470398},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45971372723579407},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.45489779114723206},{"id":"https://openalex.org/C2983589003","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Text detection","level":3,"score":0.431626558303833},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.41986095905303955},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4104804992675781},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1798277199268341},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09243372082710266},{"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":9,"locations":[{"id":"doi:10.3390/s21030888","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21030888","pdf_url":"https://www.mdpi.com/1424-8220/21/3/888/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:33525619","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33525619","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:research-information.bris.ac.uk:openaire/5207b5e4-aa37-4233-b5c5-41ba735fdba3","is_oa":true,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/5207b5e4-aa37-4233-b5c5-41ba735fdba3","pdf_url":null,"source":{"id":"https://openalex.org/S7407055359","display_name":"Explore Bristol Research","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wang, X, Zheng, S, Zhang, C, Li, R & Gui, L 2021, 'R-yolo : A real-time text detector for natural scenes with arbitrary rotation', Sensors (Switzerland), vol. 21, no. 3, 888, pp. 1-21. https://doi.org/10.3390/s21030888","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:eprints.lancs.ac.uk:151078","is_oa":false,"landing_page_url":"https://eprints.lancs.ac.uk/id/eprint/151078/1/sensors_1063450.docx","pdf_url":null,"source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:doaj.org/article:c437fcb2146845408daae2a4a72bfccc","is_oa":true,"landing_page_url":"https://doaj.org/article/c437fcb2146845408daae2a4a72bfccc","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 3, p 888 (2021)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:6771806","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC7865800","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/3/888/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21030888","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 21; Issue 3; Pages: 888","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7865800","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7865800","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:research-information.bris.ac.uk:openaire_cris_publications/5207b5e4-aa37-4233-b5c5-41ba735fdba3","is_oa":true,"landing_page_url":"https://hdl.handle.net/1983/5207b5e4-aa37-4233-b5c5-41ba735fdba3","pdf_url":null,"source":{"id":"https://openalex.org/S7407055359","display_name":"Explore Bristol Research","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Wang, X, Zheng, S, Zhang, C, Li, R & Gui, L 2021, 'R-yolo : A real-time text detector for natural scenes with arbitrary rotation', Sensors (Switzerland), vol. 21, no. 3, 888, pp. 1-21. https://doi.org/10.3390/s21030888","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.3390/s21030888","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21030888","pdf_url":"https://www.mdpi.com/1424-8220/21/3/888/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G7274079594","display_name":null,"funder_award_id":"41701532","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7924979830","display_name":"\u57fa\u4e8e\u5355\u76ee\u5e8f\u5217\u5f71\u50cf\u7684\u8fd0\u52a8\u76ee\u6807\u4f4d\u7f6e\u59ff\u6001\u5b9e\u65f6\u76d1\u63a7\u65b9\u6cd5\u7814\u7a76","funder_award_id":"41671452","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"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3123709332.pdf"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W117491841","https://openalex.org/W1901129140","https://openalex.org/W1935817682","https://openalex.org/W1972065312","https://openalex.org/W2008806374","https://openalex.org/W2020964295","https://openalex.org/W2056435187","https://openalex.org/W2128854450","https://openalex.org/W2131163834","https://openalex.org/W2142159465","https://openalex.org/W2144554289","https://openalex.org/W2148214126","https://openalex.org/W2193145675","https://openalex.org/W2239285313","https://openalex.org/W2339589954","https://openalex.org/W2343052201","https://openalex.org/W2519818067","https://openalex.org/W2550687635","https://openalex.org/W2593539516","https://openalex.org/W2604243686","https://openalex.org/W2604735854","https://openalex.org/W2605076167","https://openalex.org/W2605982830","https://openalex.org/W2613718673","https://openalex.org/W2704256938","https://openalex.org/W2750933790","https://openalex.org/W2784050770","https://openalex.org/W2785383245","https://openalex.org/W2789151435","https://openalex.org/W2796347433","https://openalex.org/W2798957492","https://openalex.org/W2810028092","https://openalex.org/W2903141337","https://openalex.org/W2909425146","https://openalex.org/W2936226716","https://openalex.org/W2949847953","https://openalex.org/W2952302849","https://openalex.org/W2952365771","https://openalex.org/W2952662639","https://openalex.org/W2953106684","https://openalex.org/W2962810613","https://openalex.org/W2963195262","https://openalex.org/W2963353821","https://openalex.org/W2963840241","https://openalex.org/W2963977642","https://openalex.org/W2964018263","https://openalex.org/W2964294787","https://openalex.org/W2964796972","https://openalex.org/W2967615747","https://openalex.org/W2971909424","https://openalex.org/W2972031457","https://openalex.org/W2989889352","https://openalex.org/W2994041045","https://openalex.org/W2998621280","https://openalex.org/W3018757597","https://openalex.org/W3033633564","https://openalex.org/W3035222584","https://openalex.org/W3102695566","https://openalex.org/W3106228955","https://openalex.org/W3106250896","https://openalex.org/W4214922754","https://openalex.org/W4220881886","https://openalex.org/W4226000259"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"Accurate":[0],"and":[1,119,139,161],"efficient":[2],"text":[3,25,97],"detection":[4,26,41,141,178],"in":[5,14,81,175],"natural":[6,82],"scenes":[7],"is":[8,93,134],"a":[9,59,69,86],"fundamental":[10],"yet":[11],"challenging":[12],"task":[13],"computer":[15],"vision,":[16],"especially":[17],"when":[18],"dealing":[19],"with":[20,90,143,198],"arbitrarily-oriented":[21,79],"texts.":[22],"Most":[23],"contemporary":[24],"methods":[27,174],"are":[28,108,151],"designed":[29],"to":[30,77,114,136],"identify":[31],"horizontal":[32,35],"or":[33,51],"approximately":[34],"text,":[36],"which":[37],"cannot":[38],"satisfy":[39],"practical":[40],"requirements":[42],"for":[43,184],"various":[44,101,106],"real-world":[45],"images":[46],"such":[47],"as":[48,95],"image":[49,83,113],"streams":[50],"videos.":[52],"To":[53],"address":[54],"this":[55],"lacuna,":[56],"we":[57],"propose":[58],"novel":[60],"method":[61,170,189],"called":[62],"Rotational":[63,127],"You":[64],"Only":[65],"Look":[66],"Once":[67],"(R-YOLO),":[68],"robust":[70],"real-time":[71],"convolutional":[72],"neural":[73],"network":[74],"(CNN)":[75],"model":[76],"detect":[78],"texts":[80],"scenes.":[84],"First,":[85],"rotated":[87],"anchor":[88],"box":[89,99],"angle":[91],"information":[92],"used":[94,135],"the":[96,111,116,124,144,167,186,203],"bounding":[98,121],"over":[100,130],"orientations.":[102],"Second,":[103],"features":[104],"of":[105,123,177,193],"scales":[107],"extracted":[109],"from":[110],"input":[112],"determine":[115],"probability,":[117],"confidence,":[118],"inclined":[120],"boxes":[122],"text.":[125],"Finally,":[126],"Distance":[128],"Intersection":[129],"Union":[131],"Non-Maximum":[132],"Suppression":[133],"eliminate":[137],"redundancy":[138],"acquire":[140],"results":[142,164],"highest":[145],"accuracy.":[146],"Experiments":[147],"on":[148,202],"benchmark":[149],"comparison":[150],"conducted":[152],"upon":[153],"four":[154],"popular":[155],"datasets,":[156],"i.e.,":[157],"ICDAR2015,":[158],"ICDAR2013,":[159],"MSRA-TD500,":[160],"ICDAR2017-MLT.":[162],"The":[163],"indicate":[165],"that":[166],"proposed":[168,187],"R-YOLO":[169,188],"significantly":[171],"outperforms":[172],"state-of-the-art":[173],"terms":[176],"efficiency":[179],"while":[180],"maintaining":[181],"high":[182],"accuracy;":[183],"example,":[185],"achieves":[190],"an":[191],"F-measure":[192],"82.3%":[194],"at":[195],"62.5":[196],"fps":[197],"720":[199],"p":[200],"resolution":[201],"ICDAR2015":[204],"dataset.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":4}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}