Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks

18 November 2022

Papers citing "Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks"

5 / 5 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 47 1 0 17 Sep 2024
What Affects Learned Equivariance in Deep Image Recognition Models? Robert-Jan Bruintjes Tomasz Motyka J. C. V. Gemert 18 7 0 05 Apr 2023
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 271 2,603 0 04 May 2021
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan J. C. V. Gemert 209 232 0 16 Mar 2020
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,194 0 01 Sep 2014