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

24 June 2021

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

3 / 3 papers shown

Title
An Impartial Take to the CNN vs Transformer Robustness Contest Francesco Pinto Philip H. S. Torr P. Dokania UQCV AAML 22 48 0 22 Jul 2022
Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation Ji-Hoon Bae Sungho Moon Sunghoon Im MDE 11 84 0 23 May 2022
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 244 2,600 0 04 May 2021