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2021 | OriginalPaper | Chapter

ICDAR 2021 Competition on Document Visual Question Answering

Authors : Rubèn Tito, Minesh Mathew, C. V. Jawahar, Ernest Valveny, Dimosthenis Karatzas

Published in: Document Analysis and Recognition – ICDAR 2021

Publisher: Springer International Publishing

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Abstract

The chapter delves into the ICDAR 2021 Competition on Document Visual Question Answering, highlighting the evolution of VQA tasks from natural images to documents and infographics. It discusses the introduction of the Infographics VQA task, which requires models to interpret layout and visual aspects of infographics. The chapter also explores the Document Collection VQA task, where models must provide answers and supporting evidence from a collection of documents. It summarizes the submissions and results from the competition, including the performance of state-of-the-art methods. Additionally, it provides an overview of the evaluation metrics used and the baselines established for the tasks. The chapter concludes with a discussion on the future directions of the DocVQA challenge and the potential for more semantically-driven approaches to document image analysis.
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Metadata
Title
ICDAR 2021 Competition on Document Visual Question Answering
Authors
Rubèn Tito
Minesh Mathew
C. V. Jawahar
Ernest Valveny
Dimosthenis Karatzas
Copyright Year
2021
Book
Document Analysis and Recognition – ICDAR 2021

Print ISBN: 978-3-030-86336-4

Electronic ISBN: 978-3-030-86337-1

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-86337-1_42

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