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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"

50 / 419 papers shown
Title
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Taco S. Cohen
Maurice Weiler
Berkay Kicanaoglu
Max Welling
139
414
0
11 Feb 2019
A Push-Pull Layer Improves Robustness of Convolutional Neural Networks
A Push-Pull Layer Improves Robustness of Convolutional Neural Networks
N. Strisciuglio
Manuel López-Antequera
N. Petkov
13
4
0
29 Jan 2019
Equivariant Transformer Networks
Equivariant Transformer Networks
Kai Sheng Tai
Peter Bailis
Gregory Valiant
ViT
104
71
0
25 Jan 2019
Towards a topological-geometrical theory of group equivariant
  non-expansive operators for data analysis and machine learning
Towards a topological-geometrical theory of group equivariant non-expansive operators for data analysis and machine learning
M. Bergomi
Patrizio Frosini
D. Giorgi
Nicola Quercioli
AI4CE
66
49
0
31 Dec 2018
Retinal vessel segmentation based on Fully Convolutional Neural Networks
Retinal vessel segmentation based on Fully Convolutional Neural Networks
Américo Oliveira
Sérgio Pereira
Carlos Alberto Silva
MedIm
66
266
0
18 Dec 2018
Harmonic Networks: Integrating Spectral Information into CNNs
Harmonic Networks: Integrating Spectral Information into CNNs
Matej Ulicny
V. Krylov
Rozenn Dahyot
97
7
0
07 Dec 2018
Cross-Domain 3D Equivariant Image Embeddings
Cross-Domain 3D Equivariant Image Embeddings
Carlos Esteves
Avneesh Sud
Zhengyi Luo
Kostas Daniilidis
A. Makadia
3DPC
78
22
0
06 Dec 2018
Integrating Multiple Receptive Fields through Grouped Active Convolution
Integrating Multiple Receptive Fields through Grouped Active Convolution
Yunho Jeon
Junmo Kim
47
3
0
11 Nov 2018
VV-Net: Voxel VAE Net with Group Convolutions for Point Cloud
  Segmentation
VV-Net: Voxel VAE Net with Group Convolutions for Point Cloud Segmentation
Hsien-Yu Meng
Lin Gao
Yu-kun Lai
Tianyi Zhou
3DPCDRL
68
227
0
11 Nov 2018
A General Theory of Equivariant CNNs on Homogeneous Spaces
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco S. Cohen
Mario Geiger
Maurice Weiler
MLTAI4CE
255
316
0
05 Nov 2018
DeepSymmetry : Using 3D convolutional networks for identification of
  tandem repeats and internal symmetries in protein structures
DeepSymmetry : Using 3D convolutional networks for identification of tandem repeats and internal symmetries in protein structures
Guillaume Pagès
Sergei Grudinin
110
8
0
29 Oct 2018
Rotational 3D Texture Classification Using Group Equivariant CNNs
Rotational 3D Texture Classification Using Group Equivariant CNNs
Vincent Andrearczyk
Adrien Depeursinge
76
12
0
16 Oct 2018
Monitoring spatial sustainable development: Semi-automated analysis of
  satellite and aerial images for energy transition and sustainability
  indicators
Monitoring spatial sustainable development: Semi-automated analysis of satellite and aerial images for energy transition and sustainability indicators
R. L. Curier
Tim De Jong
K. Strauch
Katharina Cramer
Natalie Rosenski
Clara Schartner
M. Debusschere
Hannah Ziemons
Deniz Iren
Stefano Bromuri
103
15
0
11 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon
Adversarial Examples - A Complete Characterisation of the Phenomenon
A. Serban
E. Poll
Joost Visser
SILMAAML
102
49
0
02 Oct 2018
A rotation-equivariant convolutional neural network model of primary
  visual cortex
A rotation-equivariant convolutional neural network model of primary visual cortex
Alexander S. Ecker
Fabian H. Sinz
E. Froudarakis
Paul G. Fahey
Santiago A. Cadena
Edgar Y. Walker
Erick Cobos
Jacob Reimer
A. Tolias
Matthias Bethge
69
54
0
27 Sep 2018
3D Human Pose Estimation with Siamese Equivariant Embedding
3D Human Pose Estimation with Siamese Equivariant Embedding
M. Véges
Viktor Varga
András Lőrincz
83
29
0
19 Sep 2018
ManifoldNet: A Deep Network Framework for Manifold-valued Data
ManifoldNet: A Deep Network Framework for Manifold-valued Data
Rudrasis Chakraborty
Jose J. Bouza
J. Manton
B. Vemuri
52
16
0
11 Sep 2018
Deep Learning for Generic Object Detection: A Survey
Deep Learning for Generic Object Detection: A Survey
Li Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
ObjDVLMOOD
240
2,469
0
06 Sep 2018
Discriminative Learning of Similarity and Group Equivariant
  Representations
Discriminative Learning of Similarity and Group Equivariant Representations
Shubhendu Trivedi
41
1
0
30 Aug 2018
Isometric Transformation Invariant Graph-based Deep Neural Network
Isometric Transformation Invariant Graph-based Deep Neural Network
Renata Khasanova
P. Frossard
44
3
0
21 Aug 2018
Semi-supervised Skin Lesion Segmentation via Transformation Consistent
  Self-ensembling Model
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model
Xiaomeng Li
Lequan Yu
Hao Chen
Chi-Wing Fu
Pheng-Ann Heng
MedIm
68
136
0
12 Aug 2018
Using Machine Learning Safely in Automotive Software: An Assessment and
  Adaption of Software Process Requirements in ISO 26262
Using Machine Learning Safely in Automotive Software: An Assessment and Adaption of Software Process Requirements in ISO 26262
Rick Salay
Krzysztof Czarnecki
104
70
0
05 Aug 2018
Geared Rotationally Identical and Invariant Convolutional Neural Network
  Systems
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
35
4
0
03 Aug 2018
Scale equivariance in CNNs with vector fields
Scale equivariance in CNNs with vector fields
Diego Marcos
B. Kellenberger
Sylvain Lobry
D. Tuia
89
56
0
31 Jul 2018
Transformationally Identical and Invariant Convolutional Neural Networks
  by Combining Symmetric Operations or Input Vectors
Transformationally Identical and Invariant Convolutional Neural Networks by Combining Symmetric Operations or Input Vectors
S. Lo
M. Freedman
S. Mun
62
3
0
30 Jul 2018
Explorations in Homeomorphic Variational Auto-Encoding
Explorations in Homeomorphic Variational Auto-Encoding
Luca Falorsi
P. D. Haan
Tim R. Davidson
Nicola De Cao
Maurice Weiler
Patrick Forré
Taco S. Cohen
BDLDRL
107
115
0
12 Jul 2018
DeSTNet: Densely Fused Spatial Transformer Networks
DeSTNet: Densely Fused Spatial Transformer Networks
R. Annunziata
Christos Sagonas
Jacques Calì
46
6
0
11 Jul 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in
  Volumetric Data
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
Maurice Weiler
Mario Geiger
Max Welling
Wouter Boomsma
Taco S. Cohen
3DPC
148
508
0
06 Jul 2018
Sample Efficient Semantic Segmentation using Rotation Equivariant
  Convolutional Networks
Sample Efficient Semantic Segmentation using Rotation Equivariant Convolutional Networks
J. Linmans
Jim Winkens
Bastiaan S. Veeling
Taco S. Cohen
Max Welling
MedIm
90
26
0
02 Jul 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional
  Neural Network
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network
Risi Kondor
Zhen Lin
Shubhendu Trivedi
95
272
0
24 Jun 2018
Deforming Autoencoders: Unsupervised Disentangling of Shape and
  Appearance
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance
Zhixin Shu
M. Sahasrabudhe
R. Güler
Dimitris Samaras
Nikos Paragios
Iasonas Kokkinos
CVBM
121
201
0
18 Jun 2018
Group Equivariant Capsule Networks
Group Equivariant Capsule Networks
J. E. Lenssen
Matthias Fey
Pascal Libuschewski
101
109
0
13 Jun 2018
Transformationally Identical and Invariant Convolutional Neural Networks
  through Symmetric Element Operators
Transformationally Identical and Invariant Convolutional Neural Networks through Symmetric Element Operators
S. Lo
M. Freedman
S. Mun
Shuo Gu
54
5
0
10 Jun 2018
Rotation Equivariant CNNs for Digital Pathology
Rotation Equivariant CNNs for Digital Pathology
Bastiaan S. Veeling
J. Linmans
Jim Winkens
Taco S. Cohen
Max Welling
125
586
0
08 Jun 2018
Rotation Equivariance and Invariance in Convolutional Neural Networks
Rotation Equivariance and Invariance in Convolutional Neural Networks
Benjamin Chidester
Minh Do
Jian Ma
64
35
0
31 May 2018
Why do deep convolutional networks generalize so poorly to small image
  transformations?
Why do deep convolutional networks generalize so poorly to small image transformations?
Aharon Azulay
Yair Weiss
108
563
0
30 May 2018
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant
  Deep Networks
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks
Xiuyuan Cheng
Qiang Qiu
Robert Calderbank
Guillermo Sapiro
58
43
0
17 May 2018
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
45
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
50
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
96
143
0
12 Apr 2018
3D G-CNNs for Pulmonary Nodule Detection
3D G-CNNs for Pulmonary Nodule Detection
M. Winkels
Taco S. Cohen
MedIm3DPC
82
107
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
82
174
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
74
47
0
28 Mar 2018
What Do We Understand About Convolutional Networks?
What Do We Understand About Convolutional Networks?
Isma Hadji
Richard P. Wildes
FAtt
66
99
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
125
237
0
16 Mar 2018
HexaConv
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
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
152
980
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
69
24
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
174
500
0
11 Feb 2018
Spherical CNNs
Spherical CNNs
Taco S. Cohen
Mario Geiger
Jonas Köhler
Max Welling
190
908
0
30 Jan 2018
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