method: InfographicVQA paper model2022-03-03

Authors: InfographicVQA authors

Affiliation: IIIT Hyderabad, CVC Barcelona

Email: docvqa@cvc.uab.es

Description: This submission correspond to the best performing model in InfographicVQA paper. The model is built on layout lm v1

@InProceedings{Mathew_2022_WACV, author = {Mathew, Minesh and Bagal, Viraj and Tito, Rub\`en and Karatzas, Dimosthenis and Valveny, Ernest and Jawahar, C.V.}, title = {InfographicVQA}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)}, month = {January}, year = {2022}, pages = {1697-1706} }