Data augmentation in test/validation set?

Question

It is common practice to augment data (add samples programmatically, such as random crops, etc. in the case of a dataset consisting of images) on both training and test set, or

Answer 1

This answer on stats.SE makes the case for applying crops on the validation / test sets so as to make that input similar the the input in the training set that the network was trained on.