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Document Analysis and Recognition - ICDAR 2023

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Table of Contents

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    Book Overview
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    Chapter 1 A Study on Reproducibility and Replicability of Table Structure Recognition Methods
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    Chapter 2 An End-to-End Local Attention Based Model for Table Recognition
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    Chapter 3 Optimized Table Tokenization for Table Structure Recognition
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    Chapter 4 Towards End-to-End Semi-Supervised Table Detection with Deformable Transformer
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    Chapter 5 SpaDen: Sparse and Dense Keypoint Estimation for Real-World Chart Understanding
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    Chapter 6 Generalization of Fine Granular Extractions from Charts
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    Chapter 7 Improving Information Extraction from Semi-structured Documents Using Attention Based Semi-variational Graph Auto-Encoder
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    Chapter 8 Language Independent Neuro-Symbolic Semantic Parsing for Form Understanding
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    Chapter 9 DocILE Benchmark for Document Information Localization and Extraction
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    Chapter 10 Robustness Evaluation of Transformer-Based Form Field Extractors via Form Attacks
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    Chapter 11 Key-Value Information Extraction from Full Handwritten Pages
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    Chapter 12 Information Extraction from Documents: Question Answering Vs Token Classification in Real-World Setups
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    Chapter 13 ViSA: Visual and Semantic Alignment for Robust Scene Text Recognition
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    Chapter 14 DQ-DETR: Dynamic Queries Enhanced Detection Transformer for Arbitrary Shape Text Detection
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    Chapter 15 Decoupling Visual-Semantic Features Learning with Dual Masked Autoencoder for Self-Supervised Scene Text Recognition
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    Chapter 16 Re-Thinking Text Clustering for Images with Text
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    Chapter 17 Scene Table Structure Recognition with Segmentation and Key Point Collaboration
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    Chapter 18 Handwritten Text Generation with Character-Specific Encoding for Style Imitation
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    Chapter 19 How to Choose Pretrained Handwriting Recognition Models for Single Writer Fine-Tuning
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    Chapter 20 Zero-shot Generation of Training Data with Denoising Diffusion Probabilistic Model for Handwritten Chinese Character Recognition
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    Chapter 21 TBM-GAN: Synthetic Document Generation with Degraded Background
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    Chapter 22 WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models
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    Chapter 23 ICDAR 2023 Competition on Video Text Reading for Dense and Small Text
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    Chapter 24 ICDAR 2023 Competition on Document UnderstanDing of Everything (DUDE)
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    Chapter 25 ICDAR 2023 Competition on Indic Handwriting Text Recognition
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    Chapter 26 ICDAR 2023 Competition on Visual Question Answering on Business Document Images
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    Chapter 27 ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents
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    Chapter 28 ICDAR 2023 Competition on Hierarchical Text Detection and Recognition
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    Chapter 29 ICDAR 2023 Competition on Detection and Recognition of Greek Letters on Papyri
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    Chapter 30 ICDAR 2023 Competition on Born Digital Video Text Question Answering
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    Chapter 31 ICDAR 2023 Competition on Reading the Seal Title
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    Chapter 32 ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images
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    Chapter 33 ICDAR 2023 CROHME: Competition on Recognition of Handwritten Mathematical Expressions
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    Chapter 34 ICDAR 2023 Competition on Recognition of Multi-line Handwritten Mathematical Expressions
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    Chapter 35 ICDAR 2023 Competition on RoadText Video Text Detection, Tracking and Recognition
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    Chapter 36 ICDAR 2023 Competition on Detecting Tampered Text in Images
Attention for Chapter 29: ICDAR 2023 Competition on Detection and Recognition of Greek Letters on Papyri
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Chapter title
ICDAR 2023 Competition on Detection and Recognition of Greek Letters on Papyri
Chapter number 29
Book title
Document Analysis and Recognition - ICDAR 2023
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-41679-8_29
Book ISBNs
978-3-03-141678-1, 978-3-03-141679-8
Authors

Seuret, Mathias, Marthot-Santaniello, Isabelle, White, Stephen A., Serbaeva Saraogi, Olga, Agolli, Selaudin, Carrière, Guillaume, Rodriguez-Salas, Dalia, Christlein, Vincent

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