Improving Convolutional Neural Network Robustness to Common Image Corruptions by Simulating Early Visual Processing

Incorporating biologically-inspired front-end blocks that simulate retinal and primary visual cortex processing can improve the robustness of convolutional neural networks to common image corruptions.