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Understanding and Improving Robustness of Vision Transformers through
  Patch-based Negative Augmentation

Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation

15 October 2021
Yao Qin
Chiyuan Zhang
Ting Chen
Balaji Lakshminarayanan
Alex Beutel
Xuezhi Wang
    ViT
ArXivPDFHTML

Papers citing "Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation"

5 / 5 papers shown
Title
Benchmarking the Robustness of Temporal Action Detection Models Against
  Temporal Corruptions
Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions
Runhao Zeng
Xiaoyong Chen
Jiaming Liang
Huisi Wu
Guangzhong Cao
Yong Guo
AAML
19
3
0
29 Mar 2024
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers
Haoyang Liu
Aditya Singh
Yijiang Li
Haohan Wang
AAML
ViT
22
1
0
15 Mar 2024
Random Position Adversarial Patch for Vision Transformers
Random Position Adversarial Patch for Vision Transformers
Mingzhen Shao
ViT
AAML
6
2
0
09 Jul 2023
Intriguing Properties of Vision Transformers
Intriguing Properties of Vision Transformers
Muzammal Naseer
Kanchana Ranasinghe
Salman Khan
Munawar Hayat
F. Khan
Ming-Hsuan Yang
ViT
240
512
0
21 May 2021
Negative Data Augmentation
Negative Data Augmentation
Abhishek Sinha
Kumar Ayush
Jiaming Song
Burak Uzkent
Hongxia Jin
Stefano Ermon
21
68
0
09 Feb 2021
1