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Barlow constrained optimization for Visual Question Answering

Code release for "Barlow constrained optimization for Visual Question Answering".

We developed our code based on this code repo (GGE) :https://github.com/GeraldHan/GGE

Note: The checkpoints would be available soon.

The model can be trained following this readme.

Steps: 1: Prerequisites: Please install all dependencies using: conda env create -f requirements.yml 2. Data Setup: Please follow the steps mentioned in the GGE repository. 3. To Train our model, please run: bash main.sh 4. To Evaluate our model please run: python eval.py