Journal
DOCUMENT ANALYSIS AND RECOGNITION, ICDAR 2021, PT IV
Volume 12824, Issue -, Pages 635-649Publisher
SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/978-3-030-86337-1_42
Keywords
Infographics; Document understanding; Visual Question Answering
Categories
Funding
- AWS Machine Learning Research Award
- CERCA Programme/Generalitat de Catalunya
- UAB PhD scholarship [B18P0070]
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The report presents the results of the ICDAR 2021 edition of the Document Visual Question Challenges, including tasks on Infographics VQA and previous tasks. The winning methods performed differently in each task, with the lowest score in the Infographics VQA task. The report also provides detailed descriptions of the datasets used, submitted methods, performance analysis, and progress made in Single Document VQA since 2020.
In this report we present results of the ICDAR 2021 edition of the Document Visual Question Challenges. This edition complements the previous tasks on Single Document VQA and Document Collection VQA with a newly introduced on Infographics VQA. Infographics VQA is based on a new dataset of more than 5, 000 infographics images and 30, 000 question-answer pairs. The winner methods have scored 0.6120 ANLS in Infographics VQA task, 0.7743 ANLSL in Document Collection VQA task and 0.8705 ANLS in Single Document VQA. We present a summary of the datasets used for each task, description of each of the submitted methods and the results and analysis of their performance. A summary of the progress made on Single Document VQA since the first edition of the DocVQA 2020 challenge is also presented.
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