Exploring Corruption Robustness: Inductive Biases in Vision Transformers and MLP-Mixers

Katelyn Morrison, Benjamin Gilby, Colton Lipchak +2

Recently, vision transformers and MLP-based models have been developed in order to address some of the prevalent weaknesses in convolutional neural networks. Due to the novelty of…