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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

17 September 2024
Andrzej Perzanowski
Tony Lindeberg
ArXivPDFHTML

Papers citing "Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with spatial scaling variations"

2 / 2 papers shown
Title
Unified theory for joint covariance properties under geometric image
  transformations for spatio-temporal receptive fields according to the
  generalized Gaussian derivative model for visual receptive fields
Unified theory for joint covariance properties under geometric image transformations for spatio-temporal receptive fields according to the generalized Gaussian derivative model for visual receptive fields
Tony Lindeberg
16
7
0
17 Nov 2023
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
1,106
0
27 Apr 2021
1