Fully trainable Gaussian derivative convolutional layer

18 July 2022

Papers citing "Fully trainable Gaussian derivative convolutional layer"

7 / 7 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 45 1 0 17 Sep 2024
Approximation properties relative to continuous scale space for hybrid discretizations of Gaussian derivative operators Tony Lindeberg 26 2 0 08 May 2024
Discrete approximations of Gaussian smoothing and Gaussian derivatives Tony Lindeberg 16 12 0 19 Nov 2023
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
Riesz networks: scale invariant neural networks in a single forward pass Tin Barisin K. Schladitz C. Redenbach 17 10 0 08 May 2023
Covariance properties under natural image transformations for the generalized Gaussian derivative model for visual receptive fields T. Lindeberg 21 11 0 17 Mar 2023
Moving Frame Net: SE(3)-Equivariant Network for Volumes Mateus Sangalli S. Blusseau Santiago Velasco-Forero Jesús Angulo 46 6 0 07 Nov 2022