{"id":"https://openalex.org/W4319978058","doi":"https://doi.org/10.1109/cipae55637.2022.00085","title":"Fused Attention Decoder in End-to-End Model with Complex Scenes","display_name":"Fused Attention Decoder in End-to-End Model with Complex Scenes","publication_year":2022,"publication_date":"2022-08-01","ids":{"openalex":"https://openalex.org/W4319978058","doi":"https://doi.org/10.1109/cipae55637.2022.00085"},"language":"en","primary_location":{"id":"doi:10.1109/cipae55637.2022.00085","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cipae55637.2022.00085","pdf_url":null,"source":{"id":"https://openalex.org/S4363608510","display_name":"2022 International Conference on Computers, Information Processing and Advanced Education (CIPAE)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Computers, Information Processing and Advanced Education (CIPAE)","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/A5018408301","display_name":"Yenan Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yenan Qi","raw_affiliation_strings":["Brunel London School, North China University of Technology,Beijing,China","Brunel London School, North China University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Brunel London School, North China University of Technology,Beijing,China","institution_ids":["https://openalex.org/I1456306"]},{"raw_affiliation_string":"Brunel London School, North China University of Technology, Beijing, China","institution_ids":["https://openalex.org/I1456306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5018408301"],"corresponding_institution_ids":["https://openalex.org/I1456306"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19813204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"376","last_page":"379"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9962000250816345,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.995199978351593,"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":0.8399118185043335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6580186486244202},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.5691841840744019},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.5578052997589111},{"id":"https://openalex.org/keywords/character-recognition","display_name":"Character recognition","score":0.5551050305366516},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"Optical character recognition","score":0.5468693375587463},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.519806981086731},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5039488673210144},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4585748314857483},{"id":"https://openalex.org/keywords/text-recognition","display_name":"Text recognition","score":0.4158018231391907},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35741573572158813}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8399118185043335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6580186486244202},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.5691841840744019},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.5578052997589111},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.5551050305366516},{"id":"https://openalex.org/C546480517","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Optical character recognition","level":3,"score":0.5468693375587463},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.519806981086731},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5039488673210144},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4585748314857483},{"id":"https://openalex.org/C2983812711","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Text recognition","level":3,"score":0.4158018231391907},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35741573572158813},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cipae55637.2022.00085","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cipae55637.2022.00085","pdf_url":null,"source":{"id":"https://openalex.org/S4363608510","display_name":"2022 International Conference on Computers, Information Processing and Advanced Education (CIPAE)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Computers, Information Processing and Advanced Education (CIPAE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1974040450","https://openalex.org/W2043011136","https://openalex.org/W2537773590","https://openalex.org/W2565262489","https://openalex.org/W2770317262","https://openalex.org/W2786962101","https://openalex.org/W2945136398","https://openalex.org/W2965218342","https://openalex.org/W2984632275","https://openalex.org/W2987258871","https://openalex.org/W3038203375","https://openalex.org/W3045717997"],"related_works":["https://openalex.org/W1991513203","https://openalex.org/W2892704491","https://openalex.org/W3178467699","https://openalex.org/W4312612713","https://openalex.org/W2106936331","https://openalex.org/W1985626581","https://openalex.org/W2042634493","https://openalex.org/W2728450881","https://openalex.org/W4383748232","https://openalex.org/W1762168263"],"abstract_inverted_index":{"Recognition":[0],"of":[1,83],"text":[2,43,90],"in":[3,20,63,95],"images":[4],"is":[5],"a":[6,37],"practical":[7],"technique":[8],"that":[9,72],"has":[10],"been":[11],"studied":[12],"for":[13,48],"decades.":[14],"However,":[15],"the":[16,49,64,73,80,84],"recently":[17],"recognition":[18,44],"algorithms":[19],"complex":[21],"scenes":[22],"still":[23],"have":[24],"difficulties":[25],"such":[26],"as":[27],"high":[28],"computational":[29],"cost":[30],"and":[31,54,92],"vanishing":[32],"gradients.":[33],"This":[34],"paper":[35],"proposes":[36],"fused":[38,60,75],"End-to-End":[39],"Attention":[40],"Decoder":[41],"image":[42],"structure":[45],"to":[46,87],"search":[47],"best":[50],"character":[51,55],"center":[52],"points":[53],"attention":[56,76],"features":[57,62],"by":[58],"using":[59],"shared":[61],"detection-recognition":[65],"modules.":[66],"Our":[67],"experiments":[68],"on":[69],"dataset":[70],"show":[71],"proposed":[74],"model":[77],"could":[78],"enhance":[79],"performance":[81],"index":[82],"recognizer,":[85],"especially":[86],"better":[88],"predict":[89],"location":[91],"content":[93],"information":[94],"irregular":[96],"scene":[97],"images.":[98]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}