Analysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method

20 November 2019

Papers citing "Analysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method"

7 / 7 papers shown

Title
Lifelong-MonoDepth: Lifelong Learning for Multi-Domain Monocular Metric Depth Estimation Junjie Hu Chenyou Fan Liguang Zhou Qing Gao Honghai Liu Tin Lun Lam 27 2 0 09 Mar 2023
Dense Depth Distillation with Out-of-Distribution Simulated Images Junjie Hu Chenyou Fan Mete Ozay Hualie Jiang Tin Lun Lam 24 4 0 26 Aug 2022
Deep Depth Completion from Extremely Sparse Data: A Survey Junjie Hu Chenyu Bao Mete Ozay Chenyou Fan Qing Gao Honghai Liu Tin Lun Lam 3DV 3DPC 19 54 0 11 May 2022
Universal Adversarial Perturbations: A Survey Ashutosh Chaubey Nikhil Agrawal Kavya Barnwal K. K. Guliani Pramod Mehta OOD AAML 42 46 0 16 May 2020
Adversarial Attacks on Monocular Depth Estimation Ziqi Zhang Xinge Zhu Yingwei Li Xiangqun Chen Yao Guo AAML MDE 30 25 0 23 Mar 2020
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Biwei Huang Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 203 1,710 0 06 Jun 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 335 5,849 0 08 Jul 2016