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2007.10588
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CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution Layers
21 July 2020
Jinpyo Kim
Wookeun Jung
Hyungmo Kim
Jaejin Lee
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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
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
Leendert A. Remmelzwaal
A. Mishra
George F. R. Ellis
17
6
0
04 Nov 2019
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
I. Z. Yalniz
Hervé Jégou
Kan Chen
Manohar Paluri
D. Mahajan
SSL
90
463
0
02 May 2019
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
Wenjie Luo
Yujia Li
R. Urtasun
R. Zemel
HAI
99
1,797
0
15 Jan 2017
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
Diego Marcos
Michele Volpi
D. Tuia
64
148
0
22 Apr 2016
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
Taco S. Cohen
Max Welling
BDL
169
1,934
0
24 Feb 2016
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
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
Fast Algorithms for Convolutional Neural Networks
Andrew Lavin
Scott Gray
72
877
0
30 Sep 2015
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
Sander Dieleman
K. Willett
J. Dambre
95
653
0
24 Mar 2015
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
Karel Lenc
Andrea Vedaldi
SSL
FAtt
109
532
0
21 Nov 2014
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
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,348
0
04 Sep 2014
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
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
595
15,876
0
12 Nov 2013
Learning Invariant Representations with Local Transformations
Kihyuk Sohn
Honglak Lee
OOD
72
191
0
27 Jun 2012
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