ICDAR 2021 Competition on Document Visual Question Answering

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

*Corresponding author for this work

Research output: Chapter in BookChapterResearchpeer-review

3 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationDocument Analysis and Recognition - ICDAR 2021 - 16th International Conference, Proceedings
EditorsJosep Lladós, Daniel Lopresti, Seiichi Uchida
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages15
ISBN (Print)9783030863364
Publication statusPublished - 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12824 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


  • Document understanding
  • Infographics
  • Visual Question Answering


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