TY - CONF AU - Minesh Mathew AU - Ruben Tito AU - Dimosthenis Karatzas AU - R.Manmatha AU - C.V. Jawahar A2 - CVPR PY - 2020// TI - Document Visual Question Answering Challenge 2020 BT - 33rd IEEE Conference on Computer Vision and Pattern Recognition – Short paper N2 - 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. UR - https://arxiv.org/abs/2008.08899 L1 - http://refbase.cvc.uab.es/files/MTK2020.pdf N1 - DAG; 600.121 ID - Minesh Mathew2020 ER -