Document Analysis and Recognition - ICDAR 2023

Table of Contents

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   Book Overview
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   Chapter 1 A Shallow Graph Neural Network with Innovative Node Updating for Online Handwritten Stroke Classification
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   Chapter 2 Improving Handwritten OCR with Training Samples Generated by Glyph Conditional Denoising Diffusion Probabilistic Model
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   Chapter 3 Improved Learning for Online Handwritten Chinese Text Recognition with Convolutional Prototype Network
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   Chapter 4 Vision Conformer: Incorporating Convolutions into Vision Transformer Layers
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   Chapter 5 Modeling Cross-layer Interaction for Chinese Calligraphy Style Classification
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   Chapter 6 Exploring Semantic Word Representations for Recognition-Free NLP on Handwritten Document Images
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   Chapter 7 OCR Language Models with Custom Vocabularies
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   Chapter 8 A Unified Architecture for Urdu Printed and Handwritten Text Recognition
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    Chapter 9 Sampling and Ranking for Digital Ink Generation on a Tight Computational Budget
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    Chapter 10 Linguistic Knowledge Within Handwritten Text Recognition Models: A Real-World Case Study
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    Chapter 11 Decoupled Learning for Long-Tailed Oracle Character Recognition
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    Chapter 12 Faster DAN: Multi-target Queries with Document Positional Encoding for End-to-End Handwritten Document Recognition
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    Chapter 13 Shared-Operation Hypercomplex Networks for Handwritten Text Recognition
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    Chapter 14 DSS: Synthesizing Long Digital Ink Using Data Augmentation, Style Encoding and Split Generation
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    Chapter 15 Precise Segmentation for Children Handwriting Analysis by Combining Multiple Deep Models with Online Knowledge
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    Chapter 16 Fine-Tuning Vision Encoder–Decoder Transformers for Handwriting Text Recognition on Historical Documents
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    Chapter 17 Fine-Tuning is a Surprisingly Effective Domain Adaptation Baseline in Handwriting Recognition
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    Chapter 18 Incremental Teacher Model with Mixed Augmentations and Scheduled Pseudo-label Loss for Handwritten Text Recognition
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    Chapter 19 AFFGANwriting: A Handwriting Image Generation Method Based on Multi-feature Fusion
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    Chapter 20 SeamFormer: High Precision Text Line Segmentation for Handwritten Documents
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    Chapter 21 SegCTC: Offline Handwritten Chinese Text Recognition via Better Fusion Between Explicit and Implicit Segmentation
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    Chapter 22 Adversarial Attacks on Convolutional Siamese Signature Verification Networks
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    Chapter 23 A System for Processing and Recognition of Greek Byzantine and Post-Byzantine Documents
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    Chapter 24 Towards Writing Style Adaptation in Handwriting Recognition
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    Chapter 25 Historical Document Image Segmentation Combining Deep Learning and Gabor Features
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    Chapter 26 Group, Contrast and Recognize: A Self-supervised Method for Chinese Character Recognition
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    Chapter 27 Content-Aware Urdu Handwriting Generation
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    Chapter 28 Weakly Supervised Information Extraction from Inscrutable Handwritten Document Images