Promoting Shape Bias in CNNs: Frequency-Based and Contrastive Regularization for Corruption Robustness

Robin Narsingh Ranabhat, Longwei Wang, Amit Kumar Patel +1

Convolutional Neural Networks (CNNs) excel at image classification but remain vulnerable to common corruptions that humans handle with ease. A key reason for this fragility is thei…