Common Corruption Robustness of Point Cloud Detectors: Benchmark and
Enhancement

Common Corruption Robustness of Point Cloud Detectors: Benchmark and Enhancement

12 October 2022

Shuangzhi Li

Felix Juefei Xu

Papers citing "Common Corruption Robustness of Point Cloud Detectors: Benchmark and Enhancement"

7 / 7 papers shown

Title
Hi-ALPS -- An Experimental Robustness Quantification of Six LiDAR-based Object Detection Systems for Autonomous Driving Alexandra Arzberger Ramin Tavakoli Kolagari AAML 181 0 0 21 Mar 2025
Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions Jiachen Sun Qingzhao Zhang B. Kailkhura Zhiding Yu Chaowei Xiao Z. Morley Mao 3DPC 38 84 0 28 Jan 2022
Lidar Light Scattering Augmentation (LISA): Physics-based Simulation of Adverse Weather Conditions for 3D Object Detection Velat Kilic Deepti Hegde Vishwanath A. Sindagi A. Cooper M. Foster Vishal M. Patel 134 68 0 14 Jul 2021
Regularization Strategy for Point Cloud via Rigidly Mixed Sample Dogyoon Lee Jaeha Lee Junhyeop Lee Hyeongmin Lee Minhyeok Lee Sungmin Woo Sangyoun Lee 3DPC 148 74 0 03 Feb 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud Zaiwei Zhang Rohit Girdhar Armand Joulin Ishan Misra 3DPC 126 268 0 07 Jan 2021
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection Benjin Zhu Zhengkai Jiang Xiangxin Zhou Zeming Li Gang Yu 3DPC 169 484 0 26 Aug 2019
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,109 0 02 Dec 2016