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How to augment your ViTs? Consistency loss and StyleAug, a random style
  transfer augmentation

How to augment your ViTs? Consistency loss and StyleAug, a random style transfer augmentation

16 December 2021
Akash Umakantha
João Dias Semedo
S. Golestaneh
Wan-Yi Lin
    ViT
ArXivPDFHTML

Papers citing "How to augment your ViTs? Consistency loss and StyleAug, a random style transfer augmentation"

3 / 3 papers shown
Title
Intriguing Properties of Vision Transformers
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
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
314
5,775
0
29 Apr 2021
Robust and Generalizable Visual Representation Learning via Random
  Convolutions
Robust and Generalizable Visual Representation Learning via Random Convolutions
Zhenlin Xu
Deyi Liu
Junlin Yang
Colin Raffel
Marc Niethammer
OOD
AAML
49
190
0
25 Jul 2020
1