{"id":"https://openalex.org/W4391327748","doi":"https://doi.org/10.1109/vcip59821.2023.10402777","title":"Feature Reinforced and Adaptive Attention Guided Network for Multi-oriented Scene Text Detection","display_name":"Feature Reinforced and Adaptive Attention Guided Network for Multi-oriented Scene Text Detection","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4391327748","doi":"https://doi.org/10.1109/vcip59821.2023.10402777"},"language":"en","primary_location":{"id":"doi:10.1109/vcip59821.2023.10402777","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vcip59821.2023.10402777","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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/A5038117297","display_name":"Ruikang Zhang","orcid":"https://orcid.org/0000-0002-4391-3462"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruikang Zhang","raw_affiliation_strings":["Tianjin University,School of Electrical and Information Engineering,Tianjin,China","School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University,School of Electrical and Information Engineering,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036035213","display_name":"Sumei Li","orcid":"https://orcid.org/0000-0002-4793-3161"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sumei Li","raw_affiliation_strings":["Tianjin University,School of Electrical and Information Engineering,Tianjin,China","School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University,School of Electrical and Information Engineering,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028982262","display_name":"Dongyue He","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyue He","raw_affiliation_strings":["Tianjin University,School of Electrical and Information Engineering,Tianjin,China","School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University,School of Electrical and Information Engineering,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100374175","display_name":"Chen Zhang","orcid":"https://orcid.org/0000-0003-2762-2726"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Zhang","raw_affiliation_strings":["Tianjin University,School of Electrical and Information Engineering,Tianjin,China","School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University,School of Electrical and Information Engineering,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5038117297"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1954058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9851999878883362,"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":0.9781000018119812,"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":0.8016425371170044},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7424585223197937},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7065892219543457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5807022452354431},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.48402613401412964},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4709245562553406},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4441472887992859},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.43479734659194946},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.4155476987361908},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.4139198958873749},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3472117483615875},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3367190361022949},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3227483928203583},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09081998467445374},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07995462417602539}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8016425371170044},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7424585223197937},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7065892219543457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5807022452354431},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.48402613401412964},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4709245562553406},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4441472887992859},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.43479734659194946},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.4155476987361908},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.4139198958873749},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3472117483615875},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3367190361022949},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3227483928203583},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09081998467445374},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07995462417602539},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip59821.2023.10402777","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vcip59821.2023.10402777","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320330944","display_name":"Nature","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1903029394","https://openalex.org/W1966693245","https://openalex.org/W1972065312","https://openalex.org/W1988461287","https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2144554289","https://openalex.org/W2343052201","https://openalex.org/W2605982830","https://openalex.org/W2752782242","https://openalex.org/W2785383245","https://openalex.org/W2922509574","https://openalex.org/W2928165649","https://openalex.org/W2953894958","https://openalex.org/W2963647456","https://openalex.org/W2964685115","https://openalex.org/W3027134841","https://openalex.org/W3092156752","https://openalex.org/W3106250896","https://openalex.org/W3161227636","https://openalex.org/W3215270722","https://openalex.org/W4214922754","https://openalex.org/W4220900874","https://openalex.org/W4293519326","https://openalex.org/W4322747009"],"related_works":["https://openalex.org/W4310083477","https://openalex.org/W2328553770","https://openalex.org/W2920061524","https://openalex.org/W1977959518","https://openalex.org/W2038908348","https://openalex.org/W2107890255","https://openalex.org/W2106552856","https://openalex.org/W2145821588","https://openalex.org/W2086122291","https://openalex.org/W4385714117"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,67,117],"text":[4,10,18,89],"detection":[5,11],"method":[6,22,84],"for":[7,28],"multi-oriented":[8],"scene":[9],"based":[12],"on":[13,121],"feature":[14,25,35,57],"reinforcement":[15,26,36,58],"and":[16,124],"adaptive":[17,88],"attention.":[19],"Firstly,":[20],"the":[21,44,50,55,73,83,97,102,108,112,128,131],"constructs":[23],"different":[24,29,78,103],"modules":[27],"levels":[30,79],"of":[31,53,80,111,119,130],"features.":[32,81],"The":[33],"high-level":[34],"module":[37,59,91],"(HFRM)":[38],"acquires":[39],"multi-scale":[40],"semantic":[41,63,74],"information":[42,64],"through":[43],"deformed":[45],"Inception":[46],"structure":[47,70],"to":[48,71,101,126],"enhance":[49],"expression":[51],"ability":[52,110],"features;":[54],"low-level":[56],"(LFRM)":[60],"captures":[61],"richer":[62],"by":[65],"constructing":[66],"residual-like":[68],"connection":[69],"alleviate":[72],"gap":[75],"problem":[76],"between":[77],"Besides,":[82],"also":[85],"designs":[86],"an":[87],"attention":[90,98],"(ATAM),":[92],"which":[93],"can":[94],"adaptively":[95],"adjust":[96],"weights":[99],"according":[100],"input":[104],"features,":[105],"thus":[106],"enhancing":[107],"fitting":[109],"network.":[113],"We":[114],"carry":[115],"out":[116],"series":[118],"experiments":[120],"ICDAR2015,":[122],"TD500,":[123],"ICDAR2017-MLT":[125],"confirm":[127],"effectiveness":[129],"proposed":[132],"method.":[133]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}