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Transformationally Identical and Invariant Convolutional Neural Networks
  by Combining Symmetric Operations or Input Vectors
v1v2v3 (latest)

Transformationally Identical and Invariant Convolutional Neural Networks by Combining Symmetric Operations or Input Vectors

30 July 2018
S. Lo
M. Freedman
S. Mun
ArXiv (abs)PDFHTML

Papers citing "Transformationally Identical and Invariant Convolutional Neural Networks by Combining Symmetric Operations or Input Vectors"

4 / 4 papers shown
Title
Learning Steerable Filters for Rotation Equivariant CNNs
Learning Steerable Filters for Rotation Equivariant CNNs
Maurice Weiler
Fred Hamprecht
M. Storath
92
388
0
20 Nov 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
126
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
Group Equivariant Convolutional Networks
Group Equivariant Convolutional Networks
Taco S. Cohen
Max Welling
BDL
169
1,941
0
24 Feb 2016
1