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FFT-based Selection and Optimization of Statistics for Robust
  Recognition of Severely Corrupted Images

FFT-based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images

21 March 2024
Elena Camuffo
Umberto Michieli
J. Moon
Daehyun Kim
Mete Ozay
ArXivPDFHTML

Papers citing "FFT-based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images"

3 / 3 papers shown
Title
SITA: Single Image Test-time Adaptation
SITA: Single Image Test-time Adaptation
Ansh Khurana
S. Paul
Piyush Rai
Soma Biswas
Gaurav Aggarwal
69
52
0
04 Dec 2021
Are Transformers More Robust Than CNNs?
Are Transformers More Robust Than CNNs?
Yutong Bai
Jieru Mei
Alan Yuille
Cihang Xie
ViT
AAML
186
258
0
10 Nov 2021
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,194
0
01 Sep 2014
1