@InProceedings{MineshMathew2020,
author="Minesh Mathew
and Ruben Tito
and Dimosthenis Karatzas
and R.Manmatha
and C.V. Jawahar",
title="Document Visual Question Answering Challenge 2020",
booktitle="33rd IEEE Conference on Computer Vision and Pattern Recognition -- Short paper",
year="2020",
abstract="This paper presents results of Document Visual Question Answering Challenge organized as part of {\textquoteleft}{\textquoteleft}Text and Documents in the Deep Learning Era{\textquoteright}{\textquoteright} 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.",
optnote="DAG; 600.121",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=3558), last updated on Mon, 28 Jun 2021 09:46:09 +0200",
opturl="https://arxiv.org/abs/2008.08899",
file=":http://refbase.cvc.uab.es/files/MTK2020.pdf:PDF"
}