Benchmarking Robustness of 3D Point Cloud Recognition Against Common
Corruptions

Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions

28 January 2022

Z. Morley Mao

Papers citing "Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions"

7 / 7 papers shown

Title
Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis Hongyu Sun Qiuhong Ke Ming Cheng Y. Wang Deying Li Chenhui Gou Jianfei Cai 3DPC 84 0 0 15 Mar 2025
GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Yawen Shao Wei-dong Zhai Yuhang Yang Hongchen Luo Yang Cao Zheng-jun Zha 65 1 0 29 Nov 2024
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization Yongyi Su Xun Xu K. Jia TTA 40 22 0 26 Sep 2023
Are Transformers More Robust Than CNNs? Yutong Bai Jieru Mei Alan Yuille Cihang Xie ViT AAML 162 212 0 10 Nov 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 116 63 0 03 Feb 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 201 554 0 19 Oct 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 199 12,351 0 02 Dec 2016