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Towards Adversarially Robust and Domain Generalizable Stereo Matching by
  Rethinking DNN Feature Backbones

Towards Adversarially Robust and Domain Generalizable Stereo Matching by Rethinking DNN Feature Backbones

31 July 2021
Ke Cheng
Christopher Healey
Tianfu Wu
    AAML
    OOD
ArXivPDFHTML

Papers citing "Towards Adversarially Robust and Domain Generalizable Stereo Matching by Rethinking DNN Feature Backbones"

3 / 3 papers shown
Title
Modeling Stereo-Confidence Out of the End-to-End Stereo-Matching Network
  via Disparity Plane Sweep
Modeling Stereo-Confidence Out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep
Jae Young Lee
Woonghyun Ka
Jaehyun Choi
Junmo Kim
20
1
0
22 Jan 2024
Recent Advances in Adversarial Training for Adversarial Robustness
Recent Advances in Adversarial Training for Adversarial Robustness
Tao Bai
Jinqi Luo
Jun Zhao
Bihan Wen
Qian Wang
AAML
86
476
0
02 Feb 2021
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
308
5,842
0
08 Jul 2016
1