Scale Steerable Filters for Locally Scale-Invariant Convolutional Neural Networks

10 June 2019

Papers citing "Scale Steerable Filters for Locally Scale-Invariant Convolutional Neural Networks"

10 / 10 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 53 1 0 17 Sep 2024
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits Zhuokai Zhao Takumi Matsuzawa W. Irvine Michael Maire G. Kindlmann 54 2 0 31 May 2023
Deep Neural Networks with Efficient Guaranteed Invariances M. Rath A. P. Condurache 18 4 0 02 Mar 2023
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration M. Rath A. P. Condurache 25 8 0 08 Feb 2022
Implicit Equivariance in Convolutional Networks Naman Khetan Tushar Arora S. U. Rehman D. K. Gupta 31 4 0 28 Nov 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 41 65 0 02 Jul 2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales Ylva Jansson T. Lindeberg 11 23 0 11 Jun 2021
DISCO: accurate Discrete Scale Convolutions Ivan Sosnovik A. Moskalev A. Smeulders 26 31 0 04 Jun 2021
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization Rui Wang Robin Walters Rose Yu AI4CE 52 170 0 08 Feb 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 165 309 0 05 Nov 2018