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1705.08623
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Deep Rotation Equivariant Network
24 May 2017
Junying Li
Zichen Yang
Haifeng Liu
Deng Cai
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Papers citing
"Deep Rotation Equivariant Network"
26 / 26 papers shown
Title
PreCM: The Padding-based Rotation Equivariant Convolution Mode for Semantic Segmentation
Xinyu Xu
Huazhen Liu
Huilin Xiong
Wenhao Yu
Tao Zhang
222
0
0
03 Nov 2024
MARs: Multi-view Attention Regularizations for Patch-based Feature Recognition of Space Terrain
Timothy Chase Jr
Karthik Dantu
64
0
0
07 Oct 2024
Reinforcement Learning with Lie Group Orientations for Robotics
Martin Schuck
Jan Brüdigam
Sandra Hirche
Angela Schoellig
49
0
0
18 Sep 2024
Group Invariant Global Pooling
Kamil Bujel
Yonatan Gideoni
Chaitanya K. Joshi
Pietro Lio
62
0
0
30 May 2023
DuEqNet: Dual-Equivariance Network in Outdoor 3D Object Detection for Autonomous Driving
Xihao Wang
Jiaming Lei
Hai Lan
Arafat Al-Jawari
Xian Wei
3DPC
61
6
0
27 Feb 2023
RIC-CNN: Rotation-Invariant Coordinate Convolutional Neural Network
Hanlin Mo
Guoying Zhao
81
34
0
21 Nov 2022
SIM2E: Benchmarking the Group Equivariant Capability of Correspondence Matching Algorithms
Shuai Su
Zhongkai Zhao
Yixin Fei
Shuda Li
Qijun Chen
Rui Fan
43
1
0
21 Aug 2022
Equivariant Mesh Attention Networks
Sourya Basu
Jose Gallego-Posada
Francesco Vigano
J. Rowbottom
Taco S. Cohen
3DPC
MDE
AI4CE
99
10
0
21 May 2022
RRL:Regional Rotation Layer in Convolutional Neural Networks
Zongbo Hao
Tao Zhang
MingWang Chen
Kaixuan Zhou
54
2
0
25 Feb 2022
Exploiting Learned Symmetries in Group Equivariant Convolutions
A. Lengyel
Jan van Gemert
76
5
0
09 Jun 2021
Equivariant Point Network for 3D Point Cloud Analysis
Haiwei Chen
Shichen Liu
Weikai Chen
Hao Li
3DPC
94
99
0
25 Mar 2021
Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy
Sergei V. Kalinin
M. Ziatdinov
Jacob D. Hinkle
S. Jesse
Ayana Ghosh
K. Kelley
A. Lupini
B. Sumpter
Rama K Vasudevan
59
3
0
22 Mar 2021
Towards glass-box CNNs
Manaswini Piduguralla
Jignesh S. Bhatt
34
3
0
11 Jan 2021
Group Equivariant Stand-Alone Self-Attention For Vision
David W. Romero
Jean-Baptiste Cordonnier
MDE
161
60
0
02 Oct 2020
On Universalized Adversarial and Invariant Perturbations
Sandesh Kamath
Amit Deshpande
K. Subrahmanyam
AAML
29
0
0
08 Jun 2020
Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks
Sandesh Kamath
Amit Deshpande
Subrahmanyam Kambhampati Venkata
V. Balasubramanian
88
12
0
26 Feb 2020
Attentive Group Equivariant Convolutional Networks
David W. Romero
Erik J. Bekkers
Jakub M. Tomczak
Mark Hoogendoorn
107
91
0
07 Feb 2020
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In Data
David W. Romero
Mark Hoogendoorn
68
24
0
18 Nov 2019
Learning Non-Parametric Invariances from Data with Permanent Random Connectomes
Dipan K. Pal
Akshay Chawla
Marios Savvides
29
1
0
13 Nov 2019
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems
Laura von Rueden
S. Mayer
Katharina Beckh
B. Georgiev
Sven Giesselbach
...
Rajkumar Ramamurthy
Michal Walczak
Jochen Garcke
Christian Bauckhage
Jannis Schuecker
130
650
0
29 Mar 2019
Geared Rotationally Identical and Invariant Convolutional Neural Network Systems
ShihChung B. Lo
Ph. D.
M. Freedman
M. D.
S. Mun
Ph. D.
H. Chan
Ph. D
26
4
0
03 Aug 2018
CubeNet: Equivariance to 3D Rotation and Translation
Daniel E. Worrall
Gabriel J. Brostow
3DPC
90
143
0
12 Apr 2018
HexaConv
Emiel Hoogeboom
Jorn W. T. Peters
Taco S. Cohen
Max Welling
83
58
0
06 Mar 2018
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds
Nathaniel Thomas
Tess E. Smidt
S. Kearnes
Lusann Yang
Li Li
Kai Kohlhoff
Patrick F. Riley
3DPC
114
980
0
22 Feb 2018
Robustness of Rotation-Equivariant Networks to Adversarial Perturbations
Beranger Dumont
Simona Maggio
Pablo Montalvo
AAML
69
24
0
19 Feb 2018
Non-Parametric Transformation Networks
Dipan K. Pal
Marios Savvides
82
7
0
14 Jan 2018
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