Are vision transformers always more robust than convolutional neural networks?

類似資料

• An impartial take to the CNN vs transformer robustness contest
  著者:: Pinto, F, 等
  出版事項: (2022)
• Adversarial Robustness of Vision Transformers Versus Convolutional Neural Networks
  著者:: Kazim Ali, 等
  出版事項: (2024-01-01)
• Mix-MaxEnt: improving accuracy and uncertainty estimates of deterministic neural networks
  著者:: Pinto, F, 等
  出版事項: (2021)
• Mirror Descent view for Neural Network quantization
  著者:: Ajanthan, T, 等
  出版事項: (2021)
• Using mixup as a regularizer can surprisingly improve accuracy and out-of-distribution robustness
  著者:: Pinto, F, 等
  出版事項: (2023)