I want to experiment Capsule Networks on FER. For now I am using fer2013 Kaggle dataset.
One thing that I didn't understand in Capsule Net was in the first conv layer, size was reduced to 20x20 - having input image as 28x28 and filters as 9x9 with 1 stride. But in the capsules, the size reduces to 6x6. How did this happen? Because with input size as 20x20 and filters as 9x9 and 2 strides, I couldn't get 6x6. Maybe I missed something.
For my experiment, input size image is 48x48. Should I use the same hyperparams for the start or is there any suggested hyperparams that I can use?