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Document analysis and recognition - ICDAR 2023 Workshops = San Jose, CA, USA, August 24-26, 2023 : proceedings.. Part I /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Document analysis and recognition - ICDAR 2023 Workshops/ edited by Mickael Coustaty, Alicia Fornes.
Reminder of title:	San Jose, CA, USA, August 24-26, 2023 : proceedings.
remainder title:	ICDAR 2023 Workshops
other author:	Fornes, Alicia.
corporate name:	Workshop on the Preservation of Stability under Discretization
Published:	Cham :Springer Nature Switzerland : : 2023.,
Description:	xxiii, 327 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Information Storage and Retrieval. -
Online resource:	https://doi.org/10.1007/978-3-031-41498-5
ISBN:	9783031414985

Document analysis and recognition - ICDAR 2023 Workshops = San Jose, CA, USA, August 24-26, 2023 : proceedings.. Part I /
Document analysis and recognition - ICDAR 2023 WorkshopsSan Jose, CA, USA, August 24-26, 2023 : proceedings.Part I /[electronic resource] :ICDAR 2023 Workshopsedited by Mickael Coustaty, Alicia Fornes. - Cham :Springer Nature Switzerland :2023. - xxiii, 327 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,141930302-9743 ;. - Lecture notes in computer science ;6140..

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for Topic Classification in the Domain of Public Affairs -- The Adaptability of a Transformer-based OCR Model for Historical Documents -- Using GANs for Domain Adaptive High Resolution Synthetic Document Generation -- A Survey and Approach to Chart Classification -- Segmentation-Free Alignment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 Circuit Diagram 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.

This two-volume set LNCS 14193-14194 constitutes the proceedings of International Workshops co-located with the 17th International Conference on Document Analysis and Recognition, ICDAR 2023, held in San Jose, CA, USA, during August 21-26, 2023. The total of 43 regular papers presented in this book were carefully selected from 60 submissions. Part I contains 22 regular papers that stem from the following workshops: ICDAR 2023 Workshop on Computational Paleography (IWCP); ICDAR 2023 Workshop on Camera-Based Document Analysis and Recognition (CBDAR); ICDAR 2023 International Workshop on Graphics Recognition (GREC); ICDAR 2023 Workshop on Automatically Domain-Adapted and Personalized Document Analysis (ADAPDA); Part II contains 21 regular papers that stem from the following workshops: ICDAR 2023 Workshop on Machine Vision and NLP for Document Analysis (VINALDO); ICDAR 2023 International Workshop on Machine Learning (WML)

ISBN: 9783031414985

Standard No.: 10.1007/978-3-031-41498-5doiSubjects--Topical Terms:

593926
Information Storage and Retrieval.

LC Class. No.: TA1630 / .I58 2023

Dewey Class. No.: 006.42

Document analysis and recognition - ICDAR 2023 Workshops = San Jose, CA, USA, August 24-26, 2023 : proceedings.. Part I /
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