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Riesz networks: scale invariant neural networks in a single forward pass

Riesz networks: scale invariant neural networks in a single forward pass

8 May 2023
Tin Barisin
K. Schladitz
C. Redenbach
ArXivPDFHTML

Papers citing "Riesz networks: scale invariant neural networks in a single forward pass"

4 / 4 papers shown
Title
Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with spatial scaling variations
Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with spatial scaling variations
Andrzej Perzanowski
Tony Lindeberg
53
1
0
17 Sep 2024
Covariance properties under natural image transformations for the
  generalized Gaussian derivative model for visual receptive fields
Covariance properties under natural image transformations for the generalized Gaussian derivative model for visual receptive fields
T. Lindeberg
29
11
0
17 Mar 2023
Crack Modeling via Minimum-Weight Surfaces in 3d Voronoi Diagrams
Crack Modeling via Minimum-Weight Surfaces in 3d Voronoi Diagrams
Christian Jung
C. Redenbach
17
8
0
11 Oct 2022
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
164
7,337
0
05 Jun 2015
1