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Convolutional layers are equivariant to discrete shifts but not
  continuous translations

Convolutional layers are equivariant to discrete shifts but not continuous translations

10 June 2022
N. McGreivy
Ammar Hakim
ArXivPDFHTML

Papers citing "Convolutional layers are equivariant to discrete shifts but not continuous translations"

2 / 2 papers shown
Title
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
174
1,104
0
27 Apr 2021
On Translation Invariance in CNNs: Convolutional Layers can Exploit
  Absolute Spatial Location
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
O. Kayhan
J. C. V. Gemert
209
232
0
16 Mar 2020
1