Scale Equivariant U-Net

10 October 2022

Papers citing "Scale Equivariant U-Net"

8 / 8 papers shown

Title
Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with spatial scaling variations Andrzej Perzanowski Tony Lindeberg 131 1 0 17 Sep 2024
Approximation properties relative to continuous scale space for hybrid discretizations of Gaussian derivative operators Tony Lindeberg 69 2 0 08 May 2024
DISCO: accurate Discrete Scale Convolutions Ivan Sosnovik A. Moskalev A. Smeulders 72 32 0 04 Jun 2021
Scale-Equivariant Steerable Networks Li Xiao Michal Szmaja A. Smeulders 127 149 0 14 Oct 2019
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data Maurice Weiler Mario Geiger Max Welling Wouter Boomsma Taco S. Cohen 3DPC 118 507 0 06 Jul 2018
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds Nathaniel Thomas Tess E. Smidt S. Kearnes Lusann Yang Li Li Kai Kohlhoff Patrick F. Riley 3DPC 98 978 0 22 Feb 2018
Learning Steerable Filters for Rotation Equivariant CNNs Maurice Weiler Fred Hamprecht M. Storath 102 388 0 20 Nov 2017
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 176 1,946 0 24 Feb 2016