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PointMask: Towards Interpretable and Bias-Resilient Point Cloud
  Processing

PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing

9 July 2020
Saeid Asgari Taghanaki
Kaveh Hassani
P. Jayaraman
Amir Hosein Khas Ahmadi
Tonya Custis
    3DPC
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Papers citing "PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing"

7 / 7 papers shown
Title
Shortcut Learning in Deep Neural Networks
Shortcut Learning in Deep Neural Networks
Robert Geirhos
J. Jacobsen
Claudio Michaelis
R. Zemel
Wieland Brendel
Matthias Bethge
Felix Wichmann
184
2,023
0
16 Apr 2020
Unsupervised Multi-Task Feature Learning on Point Clouds
Unsupervised Multi-Task Feature Learning on Point Clouds
Kaveh Hassani
Mike Haley
SSL
3DPC
157
194
0
18 Oct 2019
Interpretable Convolutional Neural Networks
Interpretable Convolutional Neural Networks
Quanshi Zhang
Ying Nian Wu
Song-Chun Zhu
FAtt
50
778
0
02 Oct 2017
Real Time Image Saliency for Black Box Classifiers
Real Time Image Saliency for Black Box Classifiers
P. Dabkowski
Y. Gal
47
586
0
22 May 2017
Interpretable Explanations of Black Boxes by Meaningful Perturbation
Interpretable Explanations of Black Boxes by Meaningful Perturbation
Ruth C. Fong
Andrea Vedaldi
FAtt
AAML
50
1,514
0
11 Apr 2017
Axiomatic Attribution for Deep Networks
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OOD
FAtt
120
5,920
0
04 Mar 2017
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
181
4,653
0
21 Dec 2014
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