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CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical
  Convolution Layers

CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution Layers

21 July 2020
Jinpyo Kim
Wookeun Jung
Hyungmo Kim
Jaejin Lee
ArXivPDFHTML

Papers citing "CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution Layers"

22 / 22 papers shown
Title
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
493
42,407
0
03 Dec 2019
Human eye inspired log-polar pre-processing for neural networks
Human eye inspired log-polar pre-processing for neural networks
Leendert A. Remmelzwaal
A. Mishra
George F. R. Ellis
17
6
0
04 Nov 2019
Fixing the train-test resolution discrepancy
Fixing the train-test resolution discrepancy
Hugo Touvron
Andrea Vedaldi
Matthijs Douze
Hervé Jégou
116
423
0
14 Jun 2019
Billion-scale semi-supervised learning for image classification
Billion-scale semi-supervised learning for image classification
I. Z. Yalniz
Hervé Jégou
Kan Chen
Manohar Paluri
D. Mahajan
SSL
90
463
0
02 May 2019
Polar Transformer Networks
Polar Transformer Networks
Carlos Esteves
Christine Allen-Blanchette
Xiaowei Zhou
Kostas Daniilidis
ViT
62
186
0
06 Sep 2017
Understanding the Effective Receptive Field in Deep Convolutional Neural
  Networks
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
Wenjie Luo
Yujia Li
R. Urtasun
R. Zemel
HAI
99
1,797
0
15 Jan 2017
Harmonic Networks: Deep Translation and Rotation Equivariance
Harmonic Networks: Deep Translation and Rotation Equivariance
Daniel E. Worrall
Stephan J. Garbin
Daniyar Turmukhambetov
Gabriel J. Brostow
124
710
0
14 Dec 2016
Learning rotation invariant convolutional filters for texture
  classification
Learning rotation invariant convolutional filters for texture classification
Diego Marcos
Michele Volpi
D. Tuia
64
148
0
22 Apr 2016
TI-POOLING: transformation-invariant pooling for feature learning in
  Convolutional Neural Networks
TI-POOLING: transformation-invariant pooling for feature learning in Convolutional Neural Networks
D. Laptev
Nikolay Savinov
J. M. Buhmann
Marc Pollefeys
OOD
64
257
0
21 Apr 2016
Group Equivariant Convolutional Networks
Group Equivariant Convolutional Networks
Taco S. Cohen
Max Welling
BDL
169
1,934
0
24 Feb 2016
Exploiting Cyclic Symmetry in Convolutional Neural Networks
Exploiting Cyclic Symmetry in Convolutional Neural Networks
Sander Dieleman
J. Fauw
Koray Kavukcuoglu
115
364
0
08 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
Fast Algorithms for Convolutional Neural Networks
Fast Algorithms for Convolutional Neural Networks
Andrew Lavin
Scott Gray
72
877
0
30 Sep 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
300
7,384
0
05 Jun 2015
Rotation-invariant convolutional neural networks for galaxy morphology
  prediction
Rotation-invariant convolutional neural networks for galaxy morphology prediction
Sander Dieleman
K. Willett
J. Dambre
95
653
0
24 Mar 2015
Transformation Properties of Learned Visual Representations
Transformation Properties of Learned Visual Representations
Taco S. Cohen
Max Welling
49
106
0
24 Dec 2014
Understanding image representations by measuring their equivariance and
  equivalence
Understanding image representations by measuring their equivariance and equivalence
Karel Lenc
Andrea Vedaldi
SSL
FAtt
109
532
0
21 Nov 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
460
43,649
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,348
0
04 Sep 2014
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual
  Recognition
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
ObjD
394
11,224
0
18 Jun 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
595
15,876
0
12 Nov 2013
Learning Invariant Representations with Local Transformations
Learning Invariant Representations with Local Transformations
Kihyuk Sohn
Honglak Lee
OOD
72
191
0
27 Jun 2012
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