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A Perturbation-Constrained Adversarial Attack for Evaluating the
  Robustness of Optical Flow

A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow

24 March 2022
Jenny Schmalfuss
Philipp Scholze
Andrés Bruhn
    AAML
ArXivPDFHTML

Papers citing "A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow"

4 / 4 papers shown
Title
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions
Shashank Agnihotri
Amaan Ansari
Annika Dackermann
Fabian Rösch
M. Keuper
46
0
0
08 May 2025
CosPGD: an efficient white-box adversarial attack for pixel-wise
  prediction tasks
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks
Shashank Agnihotri
Steffen Jung
M. Keuper
AAML
24
21
0
04 Feb 2023
FlowFusion: Dynamic Dense RGB-D SLAM Based on Optical Flow
FlowFusion: Dynamic Dense RGB-D SLAM Based on Optical Flow
Tianwei Zhang
Huayan Zhang
Y. Li
Yoshihiko Nakamura
Lei Zhang
33
157
0
11 Mar 2020
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,109
0
04 Nov 2016
1