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

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SCI-3000: A Dataset for?Figure, Table and?Caption Extraction from?Scientific PDFsages) with annotations of figures, tables, and corresponding captions, from the fields of ., ., ., ., and .. We demonstrate the use of the dataset to benchmark two figure, table, and caption extraction approaches from recent literature: one rule-based and one deep learning-based.

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Conference proceedings 2023om 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..

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An Encoder-Decoder Method with?Position-Aware for?Printed Mathematical Expression Recognition use Bi-GRU as the translator, and add attention mechanism to make decoder focus on the important local information. We conduct experiments on the public dataset IM2LaTeX-100K, and the results show that our proposed approach is more excellent than the majority of advanced methods.

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Conference proceedings 2023n 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 Recogniti

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Multi-stage Fine-Tuning Deep Learning Models Improves Automatic Assessment of?the?Rey-Osterrieth Com It involves presenting a complex illustration to the patient who is asked to copy it, followed by recall from memory after 3 and 30?min. In clinical practice, a human rater evaluates each component of the reproduction, with the overall score indicating illness severity. However, this method is both

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Structure Diagram Recognition in?Financial Announcementsedge 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