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A Survey on the Robustness of Computer Vision Models against Common
  Corruptions

A Survey on the Robustness of Computer Vision Models against Common Corruptions

10 May 2023
Shunxin Wang
Raymond N. J. Veldhuis
Christoph Brune
N. Strisciuglio
    OOD
    VLM
ArXivPDFHTML

Papers citing "A Survey on the Robustness of Computer Vision Models against Common Corruptions"

13 / 13 papers shown
Title
Do ImageNet-trained models learn shortcuts? The impact of frequency shortcuts on generalization
Do ImageNet-trained models learn shortcuts? The impact of frequency shortcuts on generalization
Shunxin Wang
Raymond N. J. Veldhuis
N. Strisciuglio
VLM
66
0
0
05 Mar 2025
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth
  Estimation
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation
Lingdong Kong
Yaru Niu
Shaoyuan Xie
Hanjiang Hu
Lai Xing Ng
...
Zhenyu Li
Runze Chen
Haiyong Luo
Fang Zhao
Jing Yu
6
13
0
27 Jul 2023
Eigenpatches -- Adversarial Patches from Principal Components
Eigenpatches -- Adversarial Patches from Principal Components
Jens Bayer
S. Becker
David Munch
Michael Arens
AAML
10
1
0
19 Jun 2023
Efficient and Effective Augmentation Strategy for Adversarial Training
Efficient and Effective Augmentation Strategy for Adversarial Training
Sravanti Addepalli
Samyak Jain
R. Venkatesh Babu
AAML
33
57
0
27 Oct 2022
Mitigating Dataset Bias by Using Per-sample Gradient
Mitigating Dataset Bias by Using Per-sample Gradient
Sumyeong Ahn
Seongyoon Kim
Se-Young Yun
23
20
0
31 May 2022
From Show to Tell: A Survey on Deep Learning-based Image Captioning
From Show to Tell: A Survey on Deep Learning-based Image Captioning
Matteo Stefanini
Marcella Cornia
Lorenzo Baraldi
S. Cascianelli
G. Fiameni
Rita Cucchiara
3DV
VLM
MLLM
51
244
0
14 Jul 2021
If your data distribution shifts, use self-learning
If your data distribution shifts, use self-learning
E. Rusak
Steffen Schneider
George Pachitariu
L. Eck
Peter V. Gehler
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLM
OOD
TTA
49
29
0
27 Apr 2021
ImageNet-21K Pretraining for the Masses
ImageNet-21K Pretraining for the Masses
T. Ridnik
Emanuel Ben-Baruch
Asaf Noy
Lihi Zelnik-Manor
SSeg
VLM
CLIP
154
676
0
22 Apr 2021
Invariant Rationalization
Invariant Rationalization
Shiyu Chang
Yang Zhang
Mo Yu
Tommi Jaakkola
179
197
0
22 Mar 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
283
4,143
0
23 Aug 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,183
0
12 Dec 2018
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
261
10,106
0
16 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
236
35,884
0
25 Aug 2016
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