{"id":"https://openalex.org/W4402679995","doi":"https://doi.org/10.1145/3653644.3665773","title":"Research on the Application of Image Element Extraction Technology Based on Improved Faster R-CNN in the Communication of Hubei Traditional Culture","display_name":"Research on the Application of Image Element Extraction Technology Based on Improved Faster R-CNN in the Communication of Hubei Traditional Culture","publication_year":2024,"publication_date":"2024-04-26","ids":{"openalex":"https://openalex.org/W4402679995","doi":"https://doi.org/10.1145/3653644.3665773"},"language":"en","primary_location":{"id":"doi:10.1145/3653644.3665773","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653644.3665773","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd International Conference on Frontiers of Artificial Intelligence and Machine Learning","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":null,"display_name":"Hui Liu","orcid":"https://orcid.org/0009-0009-0774-9173"},"institutions":[{"id":"https://openalex.org/I4210105877","display_name":"Wuhan Donghu University","ror":"https://ror.org/017swdq34","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Liu","raw_affiliation_strings":["Wuhan Donghu University, China"],"raw_orcid":"https://orcid.org/0009-0009-0774-9173","affiliations":[{"raw_affiliation_string":"Wuhan Donghu University, China","institution_ids":["https://openalex.org/I4210105877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109219512","display_name":"B. Jin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bo Jin","raw_affiliation_strings":["Mathematical research group; Wuhan No. 23 Middle School, China"],"raw_orcid":"https://orcid.org/0009-0002-8184-0978","affiliations":[{"raw_affiliation_string":"Mathematical research group; Wuhan No. 23 Middle School, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210105877"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21722048,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"37","last_page":"41"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12705","display_name":"Educational Reforms and Innovations","score":0.4009000062942505,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12705","display_name":"Educational Reforms and Innovations","score":0.4009000062942505,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13444","display_name":"Medical Research and Treatments","score":0.39980000257492065,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13003","display_name":"Regional Development and Environment","score":0.366100013256073,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5908107757568359},{"id":"https://openalex.org/keywords/element","display_name":"Element (criminal law)","score":0.5579560995101929},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5246822237968445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33799970149993896},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.09670889377593994}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5908107757568359},{"id":"https://openalex.org/C200288055","wikidata":"https://www.wikidata.org/wiki/Q2621792","display_name":"Element (criminal law)","level":2,"score":0.5579560995101929},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5246822237968445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33799970149993896},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.09670889377593994},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3653644.3665773","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653644.3665773","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd International Conference on Frontiers of Artificial Intelligence and Machine Learning","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":8,"referenced_works":["https://openalex.org/W4297624503","https://openalex.org/W4362653066","https://openalex.org/W4366396441","https://openalex.org/W4390605920","https://openalex.org/W4391269572","https://openalex.org/W4391713528","https://openalex.org/W4391788288","https://openalex.org/W4391924759"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"In":[0,107],"order":[1],"to":[2,70,133],"achieve":[3],"better":[4],"communication":[5],"and":[6,125,140],"propaganda":[7],"of":[8],"traditional":[9,12,25],"culture,":[10],"taking":[11],"cultural":[13,26,136],"clothing":[14,27],"in":[15],"Hubei":[16],"as":[17,46],"the":[18,47,61,109,115,134],"research":[19],"object,":[20],"an":[21],"extraction":[22,138],"model":[23,112],"for":[24],"elements":[28],"based":[29,78,94,113],"on":[30,79,95,114],"attention":[31,62,80,97,116],"mechanism":[32,81,98,117],"improved":[33,58,77,96,118],"Faster":[34,41,71,75,92,119],"R-CNN":[35,42,72,76,93,120],"algorithm":[36,121],"is":[37,44,56],"proposed.":[38],"Among":[39],"them,":[40],"network":[43],"taken":[45],"basic":[48],"target":[49],"detection":[50,54,84,90,101,111,127],"method,":[51],"whose":[52],"object":[53,89],"effect":[55],"further":[57],"by":[59],"introducing":[60],"mechanism.":[63],"The":[64],"experimental":[65],"results":[66],"show":[67],"that":[68],"compared":[69],"before":[73],"improvement,":[74],"has":[82,99,122,141],"higher":[83,100],"accuracy.":[85],"Compared":[86],"with":[87,103],"other":[88],"methods,":[91],"accuracy,":[102,128],"mAP":[104],"reaching":[105],"80.54%.":[106],"summary,":[108],"constructed":[110],"good":[123],"performance":[124],"high":[126],"which":[129],"can":[130],"be":[131],"applied":[132],"actual":[135],"element":[137],"scene,":[139],"certain":[142],"feasibility.":[143]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
