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Harmonic Networks: Deep Translation and Rotation Equivariance
v1v2 (latest)

Harmonic Networks: Deep Translation and Rotation Equivariance

14 December 2016
Daniel E. Worrall
Stephan J. Garbin
Daniyar Turmukhambetov
Gabriel J. Brostow
ArXiv (abs)PDFHTML

Papers citing "Harmonic Networks: Deep Translation and Rotation Equivariance"

32 / 432 papers shown
A CNN for homogneous Riemannian manifolds with applications to
  Neuroimaging
A CNN for homogneous Riemannian manifolds with applications to Neuroimaging
Rudrasis Chakraborty
Monami Banerjee
B. Vemuri
116
10
0
14 May 2018
Learning on the Edge: Explicit Boundary Handling in CNNs
Learning on the Edge: Explicit Boundary Handling in CNNs
Carlo Innamorati
Tobias Ritschel
Tim Weyrich
Niloy J. Mitra
102
21
0
08 May 2018
CubeNet: Equivariance to 3D Rotation and Translation
CubeNet: Equivariance to 3D Rotation and Translation
Daniel E. Worrall
Gabriel J. Brostow
3DPC
236
149
0
12 Apr 2018
3D G-CNNs for Pulmonary Nodule Detection
3D G-CNNs for Pulmonary Nodule Detection
M. Winkels
Taco S. Cohen
MedIm3DPC
237
109
0
12 Apr 2018
Roto-Translation Covariant Convolutional Networks for Medical Image
  Analysis
Roto-Translation Covariant Convolutional Networks for Medical Image Analysis
Erik J. Bekkers
Maxime W. Lafarge
M. Veta
K. Eppenhof
J. Pluim
R. Duits
MedIm
344
184
0
10 Apr 2018
Intertwiners between Induced Representations (with Applications to the
  Theory of Equivariant Neural Networks)
Intertwiners between Induced Representations (with Applications to the Theory of Equivariant Neural Networks)
Taco S. Cohen
Mario Geiger
Maurice Weiler
207
49
0
28 Mar 2018
What Do We Understand About Convolutional Networks?
What Do We Understand About Convolutional Networks?
Isma Hadji
Richard P. Wildes
FAtt
147
104
0
23 Mar 2018
Land cover mapping at very high resolution with rotation equivariant
  CNNs: towards small yet accurate models
Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models
Diego Marcos
Michele Volpi
B. Kellenberger
D. Tuia
230
245
0
16 Mar 2018
HexaConv
HexaConv
Emiel Hoogeboom
Jorn W. T. Peters
Taco S. Cohen
Max Welling
180
63
0
06 Mar 2018
Tensor field networks: Rotation- and translation-equivariant neural
  networks for 3D point clouds
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
336
1,106
0
22 Feb 2018
Robustness of Rotation-Equivariant Networks to Adversarial Perturbations
Robustness of Rotation-Equivariant Networks to Adversarial Perturbations
Beranger Dumont
Simona Maggio
Pablo Montalvo
AAML
161
25
0
19 Feb 2018
On the Generalization of Equivariance and Convolution in Neural Networks
  to the Action of Compact Groups
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups
Risi Kondor
Shubhendu Trivedi
MLT
412
551
0
11 Feb 2018
Spherical CNNs
Spherical CNNs
Taco S. Cohen
Mario Geiger
Jonas Köhler
Max Welling
748
979
0
30 Jan 2018
Non-Parametric Transformation Networks
Non-Parametric Transformation Networks
Dipan K. Pal
Marios Savvides
289
7
0
14 Jan 2018
Covariant Compositional Networks For Learning Graphs
Covariant Compositional Networks For Learning Graphs
Risi Kondor
H. Son
Horace Pan
Brandon M. Anderson
Shubhendu Trivedi
GNN
217
170
0
07 Jan 2018
Towards dense object tracking in a 2D honeybee hive
Towards dense object tracking in a 2D honeybee hive
Katarzyna Bozek
Laetitia Hebert
A. Mikheyev
G. Stephens
VOT
149
48
0
22 Dec 2017
Learning Steerable Filters for Rotation Equivariant CNNs
Learning Steerable Filters for Rotation Equivariant CNNs
Maurice Weiler
Fred Hamprecht
M. Storath
292
426
0
20 Nov 2017
Learning SO(3) Equivariant Representations with Spherical CNNs
Learning SO(3) Equivariant Representations with Spherical CNNs
Carlos Esteves
Christine Allen-Blanchette
A. Makadia
Kostas Daniilidis
422
552
0
17 Nov 2017
Interpretable Transformations with Encoder-Decoder Networks
Interpretable Transformations with Encoder-Decoder Networks
Daniel E. Worrall
Stephan J. Garbin
Daniyar Turmukhambetov
Gabriel J. Brostow
DRL
180
103
0
19 Oct 2017
Convolutional Networks for Spherical Signals
Convolutional Networks for Spherical Signals
Taco S. Cohen
Mario Geiger
Jonas Köhler
Max Welling
155
73
0
14 Sep 2017
Polar Transformer Networks
Polar Transformer Networks
Carlos Esteves
Christine Allen-Blanchette
Xiaowei Zhou
Kostas Daniilidis
ViT
265
192
0
06 Sep 2017
Deep rank-based transposition-invariant distances on musical sequences
Deep rank-based transposition-invariant distances on musical sequences
Gaëtan Hadjeres
Frank Nielsen
78
1
0
03 Sep 2017
Sparsity Invariant CNNs
Sparsity Invariant CNNs
J. Uhrig
N. Schneider
Lukas Schneider
Uwe Franke
Thomas Brox
Andreas Geiger
595
904
0
22 Aug 2017
Discovery of Visual Semantics by Unsupervised and Self-Supervised
  Representation Learning
Discovery of Visual Semantics by Unsupervised and Self-Supervised Representation Learning
Gustav Larsson
SSLVLM
135
6
0
19 Aug 2017
Rotational Rectification Network: Enabling Pedestrian Detection for
  Mobile Vision
Rotational Rectification Network: Enabling Pedestrian Detection for Mobile Vision
Xinshuo Weng
Shangxuan Wu
Fares N. Beainy
Kris Kitani
ObjD
149
12
0
19 Jun 2017
Dynamic Steerable Blocks in Deep Residual Networks
Dynamic Steerable Blocks in Deep Residual NetworksBritish Machine Vision Conference (BMVC), 2017
J. Jacobsen
Bert de Brabandere
A. Smeulders
172
28
0
02 Jun 2017
Deep Complex Networks
Deep Complex Networks
C. Trabelsi
O. Bilaniuk
Ying Zhang
Dmitriy Serdyuk
Sandeep Subramanian
J. F. Santos
Soroush Mehri
Negar Rostamzadeh
Yoshua Bengio
C. Pal
739
939
0
27 May 2017
Deep Rotation Equivariant Network
Deep Rotation Equivariant Network
Junying Li
Zichen Yang
Haifeng Liu
Deng Cai
242
61
0
24 May 2017
Beyond Planar Symmetry: Modeling human perception of reflection and
  rotation symmetries in the wild
Beyond Planar Symmetry: Modeling human perception of reflection and rotation symmetries in the wild
Christopher Funk
Yanxi Liu
186
41
0
11 Apr 2017
Deformable Convolutional Networks
Deformable Convolutional Networks
Jifeng Dai
Haozhi Qi
Yuwen Xiong
Yi Li
Guodong Zhang
Han Hu
Yichen Wei
466
6,129
0
17 Mar 2017
Graph-based Isometry Invariant Representation Learning
Graph-based Isometry Invariant Representation Learning
Renata Khasanova
P. Frossard
231
55
0
01 Mar 2017
Rotation equivariant vector field networks
Rotation equivariant vector field networksIEEE International Conference on Computer Vision (ICCV), 2016
Diego Marcos
Michele Volpi
N. Komodakis
D. Tuia
316
284
0
29 Dec 2016
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