Are Transformers More Robust Than CNNs?

Are Transformers More Robust Than CNNs?

10 November 2021

Jieru Mei

Cihang Xie

Papers citing "Are Transformers More Robust Than CNNs?"

7 / 57 papers shown

Title
CrowdFormer: Weakly-supervised Crowd counting with Improved Generalizability Siddharth Singh Savner Vivek Kanhangad ViT 19 31 0 07 Mar 2022
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images Bingchen Zhao Shaozuo Yu Wufei Ma M. Yu Shenxiao Mei Angtian Wang Ju He Alan Yuille Adam Kortylewski 23 53 0 29 Nov 2021
Delving Deep into the Generalization of Vision Transformers under Distribution Shifts Chongzhi Zhang Mingyuan Zhang Shanghang Zhang Daisheng Jin Qiang-feng Zhou Zhongang Cai Haiyu Zhao Xianglong Liu Ziwei Liu 13 102 0 14 Jun 2021
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang ViT 256 620 0 21 May 2021
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 271 2,603 0 04 May 2021
On the Adversarial Robustness of Vision Transformers Rulin Shao Zhouxing Shi Jinfeng Yi Pin-Yu Chen Cho-Jui Hsieh ViT 25 137 0 29 Mar 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 274 3,622 0 24 Feb 2021