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2020

Document Visual Question Answering Challenge 2020

Mathew, Minesh, Tito, Ruben, Karatzas, Dimosthenis et al.

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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.

Document Visual Question Answering Challenge 2020 · Around

Built on

Gurari, D., Li, Q., Stangl, A.J., Guo, A., Lin, C., Grauman, K., Luo, J., Bigham, J.P.: Vizwiz grand challenge: Answering visual questions from blind people. In: CVPR. pp. 3608–3617 (2018)
2018
Earlier work this paper cites.
Biten, A.F., Tito, R., Mafla, A., Gómez, L., Rusiñol, M., Mathew, M., Jawahar, C.V., Valveny, E., Karatzas, D.: ICDAR 2019 competition on scene text visual question answering. CoRR
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2019
Earlier work this paper cites.

Similar

Biten, A.F., Tito, R., Mafla, A., Gomez, L., Rusinol, M., Valveny, E., Jawahar, C., Karatzas, D.: Scene text visual question answering. In: ICCV (2019)
2019
Cited alongside, same era.
Jayasundara, V., Jayasekara, S., Jayasekara, H., Rajasegaran, J., Seneviratne, S., Rodrigo, R.: Textcaps: Handwritten character recognition with very small datasets. In: WACV. pp. 254–262. IEEE (2019)
2019
Cited alongside, same era.

Then

Singh, A., Natarajan, V., Shah, M., Jiang, Y., Chen, X., Batra, D., Parikh, D., Rohrbach, M.: Towards vqa models that can read. In: CVPR. pp. 8317–8326 (2019)
2019
Later among the works it cites.
Mathew, M., Karatzas, D., Jawahar, C.: Docvqa: A dataset for vqa on document images. In: WACV (2021)
2021
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