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Cover image for Document Analysis and Recognition - ICDAR 2023 Workshops San José, CA, USA, August 24-26, 2023, Proceedings, Part I
Title:
Document Analysis and Recognition - ICDAR 2023 Workshops San José, CA, USA, August 24-26, 2023, Proceedings, Part I
Author:
Coustaty, Mickael. editor.
ISBN:
9783031414985
Edition:
1st ed. 2023.
Physical Description:
XXIII, 327 p. 157 illus., 124 illus. in color. online resource.
Series:
Lecture Notes in Computer Science, 14193
Contents:
Beyond Human Forgeries: An Investigation into Detecting Diffusion-Generated Handwriting -- Leveraging Large Language Models for Topic Classification in the Domain of Public Affairs -- The Adaptability of a Transformer-based OCR Model for Historical Documents -- Using GANs for Domain Adaptive High Resolution Synthetic Document Generation -- A Survey and Approach to Chart Classification -- Segmentation-Free Alignment of Arbitrary Symbol Transcripts to Images -- Optical Music Recognition: Recent Advances, Current Challenges, and Future Directions -- Reconstruction of Power Lines from Point Clouds -- KangaiSet : A Dataset for Visual Emotion Recognition on Manga -- MuraNet: Multi-task Floor Plan Recognition with Relation Attention -- Automatic Detection of Comic Characters: An Analysis of Model Robustness Across Domains -- FPNet: Deep Attention Network for Automated Floor Plan Analysis -- Detection of buried complex text. Case of Onomatopoeia in comics books -- Text Extraction for Handwritten CircuitDiagram Images -- Can Pre-trained Language Models help in Understanding Handwritten Symbols? -- On Text Localization in End-to-End OCR-Free Document Understanding Transformer without Text Localization Supervision -- IndicSTR12: A Dataset for Indic Scene Text Recognition -- Reconstruction of Broken Writing Strokes in Greek Papyri -- Collaborative Annotation and Computational Analysis of Hieratic -- Efficient Annotation of Medieval Charters -- Greek Literary Papyri Dating Benchmark -- Stylistic Similarities in Greek Papyri based on Letter Shapes: A Deep Learning approach.
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