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ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via
  Adversarial Rotation

ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation

8 March 2022
Robin Wang
Yibo Yang
Dacheng Tao
    3DPC
ArXivPDFHTML

Papers citing "ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation"

6 / 6 papers shown
Title
A Simple Strategy to Provable Invariance via Orbit Mapping
A Simple Strategy to Provable Invariance via Orbit Mapping
Kanchana Vaishnavi Gandikota
Jonas Geiping
Zorah Lähner
Adam Czapliñski
Michael Moeller
AAML
3DPC
18
3
0
24 Sep 2022
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Congyue Deng
Or Litany
Yueqi Duan
A. Poulenard
Andrea Tagliasacchi
Leonidas J. Guibas
3DPC
108
315
0
25 Apr 2021
Recent Advances in Adversarial Training for Adversarial Robustness
Recent Advances in Adversarial Training for Adversarial Robustness
Tao Bai
Jinqi Luo
Jun Zhao
B. Wen
Qian Wang
AAML
71
473
0
02 Feb 2021
A Rotation-Invariant Framework for Deep Point Cloud Analysis
A Rotation-Invariant Framework for Deep Point Cloud Analysis
Xianzhi Li
Ruihui Li
Guangyong Chen
Chi-Wing Fu
Daniel Cohen-Or
Pheng-Ann Heng
3DPC
114
109
0
16 Mar 2020
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
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
14,099
0
02 Dec 2016
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
1