Document Analysis and Recognition - ICDAR 2023 Workshops

Document Analysis and Recognition - ICDAR 2023 Workshops portes grátis

Document Analysis and Recognition - ICDAR 2023 Workshops

San Jose, CA, USA, August 24-26, 2023, Proceedings, Part I

Coustaty, Mickael; Fornes, Alicia

Springer International Publishing AG

08/2023

327

Mole

Inglês

9783031414978

15 a 20 dias

Descrição não disponível.
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Models for Topic Classification in the Domain of Public Affairs.- The Adaptability of a Transformer-based OCR Model for Historical Documents.- Using GANs for Domain Adaptive High Resolution Synthetic Document Generation.- A Survey and Approach to Chart Classification.- Segmentation-Free Alignment of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.
Document Image Analysis and Recognition;Natural Language Processing;Computational Paleography;Digital Humanities;Personalized Document Analysis;Graphics Recognition;Optical Character Recognition;Table Extraction;Deep Learning