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Document Visual Question Answering Challenge 2020 (2008.08899v2)

Published 20 Aug 2020 in cs.CV and cs.IR

Abstract: This paper presents results of Document Visual Question Answering Challenge organized as part of "Text and Documents in the Deep Learning Era" workshop, in CVPR 2020. The challenge introduces a new problem - Visual Question Answering on document images. The challenge comprised two tasks. The first task concerns with asking questions on a single document image. On the other hand, the second task is set as a retrieval task where the question is posed over a collection of images. For the task 1 a new dataset is introduced comprising 50,000 questions-answer(s) pairs defined over 12,767 document images. For task 2 another dataset has been created comprising 20 questions over 14,362 document images which share the same document template.

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Authors (5)
  1. Minesh Mathew (16 papers)
  2. Dimosthenis Karatzas (80 papers)
  3. R. Manmatha (31 papers)
  4. C. V. Jawahar (109 papers)
  5. Ruben Tito (2 papers)
Citations (14)