Investigating the Generalization of Image Classifiers with Augmented Test Sets

Adding prior knowledge about the task or domain being learned can greatly facilitate learning. Two of the most common examples of injecting prior knowledge into Deep Learning systems are architecture design and data augmentation. For example, the convolutional architecture biases the model to learn local features. This emphasis on local features has been a useful prior for image processing. Data a...