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Titlebook: Document Analysis and Recognition - ICDAR 2023; 17th International C Gernot A. Fink,Rajiv Jain,Richard Zanibbi Conference proceedings 2023

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書目名稱Document Analysis and Recognition - ICDAR 2023
副標(biāo)題17th International C
編輯Gernot A. Fink,Rajiv Jain,Richard Zanibbi
視頻videohttp://file.papertrans.cn/283/282310/282310.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Document Analysis and Recognition - ICDAR 2023; 17th International C Gernot A. Fink,Rajiv Jain,Richard Zanibbi Conference proceedings 2023
描述.This six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of the 17.th.?International Conference on Document Analysis and Recognition, ICDAR 2023, held in San José, CA, USA, in August 2023.?The 53 full papers were carefully reviewed and selected from 316 submissions, and are presented with 101 poster presentations...The papers are organized into the following topical sections: Graphics Recognition, Frontiers in Handwriting Recognition, Document Analysis and Recognition..
出版日期Conference proceedings 2023
關(guān)鍵詞Document Analysis Systems; artificial intelligence; Document Layout and Parsing; Document Information E
版次1
doihttps://doi.org/10.1007/978-3-031-41676-7
isbn_softcover978-3-031-41675-0
isbn_ebook978-3-031-41676-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Document Analysis and Recognition - ICDAR 2023978-3-031-41676-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
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New Frontiers in Translation Studiesedge graphs and further improving the efficiency of various financial applications. First, we proposed a new method for recognizing structure diagrams in financial announcements, which can better detect and extract different types of connecting lines, including straight lines, curves, and polylines
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Cultural Profiling for Translation Purposeshe offline images by inferring a skeleton with a CNN and applying a basic cutting algorithm. We introduce sub-stroke embeddings by encoding the sub-stroke point sequence with a .ub-stroke .ncoding .ransformer (SET). The embeddings are then fed to the .ub-strokes .dering .ransformer (SORT) which pred
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