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Adversarial Training of Self-supervised Monocular Depth Estimation
  against Physical-World Attacks

Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks

31 January 2023
Zhiyuan Cheng
James Liang
Guanhong Tao
Dongfang Liu
Xiangyu Zhang
ArXivPDFHTML

Papers citing "Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks"

3 / 3 papers shown
Title
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise
  Regression Tasks
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks
Zhiyuan Cheng
Zhaoyi Liu
Tengda Guo
Shiwei Feng
Dongfang Liu
Mingjie Tang
Xiangyu Zhang
AAML
27
3
0
01 Apr 2024
DevNet: Self-supervised Monocular Depth Learning via Density Volume
  Construction
DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction
Kaichen Zhou
Lanqing Hong
Changhao Chen
Hang Xu
Chao Ye
Qingyong Hu
Zhenguo Li
MDE
63
30
0
14 Sep 2022
Excavating the Potential Capacity of Self-Supervised Monocular Depth
  Estimation
Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
Rui Peng
Ronggang Wang
Yawen Lai
Luyang Tang
Yangang Cai
MDE
53
72
0
26 Sep 2021
1