Clarifying Myths About the Relationship Between Shape Bias, Accuracy, and Robustness

Zahra Golpayegani, Patrick St-Amant, Nizar Bouguila

Deep learning models can perform well when evaluated on images from the same distribution as the training set. However, applying small perturbations in the forms of noise, artifact…