%0 Conference Proceedings
%T Document Visual Question Answering Challenge 2020
%A Minesh Mathew
%A Ruben Tito
%A Dimosthenis Karatzas
%A R.Manmatha
%A C.V. Jawahar
%B 33rd IEEE Conference on Computer Vision and Pattern Recognition – Short paper
%D 2020
%F Minesh Mathew2020
%O DAG; 600.121
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=3558), last updated on Mon, 28 Jun 2021 09:46:09 +0200
%X 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.
%U https://arxiv.org/abs/2008.08899
%U http://refbase.cvc.uab.es/files/MTK2020.pdf