UPC at CVPRW Visual Question Answering Challenge 2016

Resource Type Date
Software 2016-06-19


Main author: Issey Masuda Mora

Advisors: Santiago de la Puente and Xavier Giró-i-Nieto

This project gives a baseline code to start developing on Visual Question-Answering tasks, specifically those focused on the VQA challenge. Here you will find an example on how to implement your models with Keras and train, validate and test them on the VQA dataset. Note that we are still building things upon this project so the code is not ready to be imported as a module but we would like to share it with the community to give a starting point for newcomers. 

People involved

Xavier Giró Associate Professor