{"id":"https://openalex.org/W4404609313","doi":"https://doi.org/10.1109/icmlca63499.2024.10754427","title":"Enhancing Scene Text Detection with Parameter-Free Attention Mechanism and an Improved FPN","display_name":"Enhancing Scene Text Detection with Parameter-Free Attention Mechanism and an Improved FPN","publication_year":2024,"publication_date":"2024-10-18","ids":{"openalex":"https://openalex.org/W4404609313","doi":"https://doi.org/10.1109/icmlca63499.2024.10754427"},"language":"en","primary_location":{"id":"doi:10.1109/icmlca63499.2024.10754427","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icmlca63499.2024.10754427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 5th International Conference on Machine Learning and Computer Application (ICMLCA)","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/A5100641084","display_name":"Yuan Li","orcid":"https://orcid.org/0000-0001-8708-2472"},"institutions":[{"id":"https://openalex.org/I4210108633","display_name":"Aba Teachers University","ror":"https://ror.org/01gqdjc98","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuan Li","raw_affiliation_strings":["School of Physics and Electronic-Electrical Engineering, ABA Teachers University,Aba Tibetan and Qiang autonomous prefecture,Sichuan,China,623000"],"affiliations":[{"raw_affiliation_string":"School of Physics and Electronic-Electrical Engineering, ABA Teachers University,Aba Tibetan and Qiang autonomous prefecture,Sichuan,China,623000","institution_ids":["https://openalex.org/I4210108633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102781215","display_name":"Yong Yan","orcid":"https://orcid.org/0000-0002-4034-2115"},"institutions":[{"id":"https://openalex.org/I4210108633","display_name":"Aba Teachers University","ror":"https://ror.org/01gqdjc98","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Yan","raw_affiliation_strings":["School of Physics and Electronic-Electrical Engineering, ABA Teachers University,Aba Tibetan and Qiang autonomous prefecture,Sichuan,China,623000"],"affiliations":[{"raw_affiliation_string":"School of Physics and Electronic-Electrical Engineering, ABA Teachers University,Aba Tibetan and Qiang autonomous prefecture,Sichuan,China,623000","institution_ids":["https://openalex.org/I4210108633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100641084"],"corresponding_institution_ids":["https://openalex.org/I4210108633"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21454373,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"359","last_page":"362"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9969000220298767,"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":0.9969000220298767,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9243999719619751,"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"}},{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9151999950408936,"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":0.7453346252441406},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.6302711963653564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4262518584728241},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3543132543563843},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3462837338447571}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7453346252441406},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.6302711963653564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4262518584728241},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3543132543563843},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3462837338447571},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/icmlca63499.2024.10754427","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icmlca63499.2024.10754427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 5th International Conference on Machine Learning and Computer Application (ICMLCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2550687635","https://openalex.org/W2605982830","https://openalex.org/W2752782242","https://openalex.org/W2963495494","https://openalex.org/W2998621280","https://openalex.org/W3034971973","https://openalex.org/W3088488048","https://openalex.org/W3100427048","https://openalex.org/W3117876421","https://openalex.org/W4221097663","https://openalex.org/W4289752563","https://openalex.org/W4289792721","https://openalex.org/W4293679656","https://openalex.org/W4384202941","https://openalex.org/W4390381493","https://openalex.org/W4391175091","https://openalex.org/W6796538260"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0],"scene":[1],"text":[2,63,124],"detection,":[3],"models":[4],"like":[5],"DBNet":[6,33],"excel":[7],"in":[8,21,121],"handling":[9],"texts":[10],"of":[11,54,98],"arbitrary":[12],"shapes,":[13],"but":[14],"there":[15],"is":[16,72],"still":[17],"potential":[18],"for":[19,61],"improvement":[20],"detecting":[22,122],"small":[23,62,99,123],"texts.":[24],"This":[25,87],"study":[26],"introduces":[27],"two":[28],"key":[29],"enhancements":[30],"to":[31,74,95],"the":[32,44,52,92,113],"framework:":[34],"first,":[35],"a":[36,66],"Simple":[37],"and":[38,83,129],"Parameter-Free":[39],"Attention":[40],"Module":[41,71],"that":[42,108],"sharpens":[43],"network's":[45],"focus":[46],"on":[47],"important":[48],"features":[49,76,97],"while":[50],"diminishing":[51],"impact":[53],"complex":[55],"backgrounds,":[56],"thus":[57],"improving":[58],"detection":[59],"accuracy":[60,128],"areas.":[64],"Second,":[65],"Cross-Level":[67],"Enhanced":[68],"Feature":[69],"Fusion":[70],"proposed":[73],"integrate":[75],"across":[77,116],"different":[78],"scales,":[79],"effectively":[80],"utilizing":[81],"local":[82],"global":[84],"contextual":[85],"information.":[86],"multi-scale":[88],"fusion":[89],"significantly":[90],"boosts":[91],"model's":[93,114],"capability":[94],"extract":[96],"texts,":[100],"ensuring":[101],"precise":[102],"localization.":[103],"Comprehensive":[104],"experimental":[105],"results":[106],"demonstrate":[107],"these":[109],"improvements":[110],"notably":[111],"enhance":[112],"performance":[115],"various":[117],"challenging":[118],"datasets,":[119],"especially":[120],"objects,":[125],"showcasing":[126],"superior":[127],"robustness.":[130]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
