What Affects Learned Equivariance in Deep Image Recognition Models?

5 April 2023

Papers citing "What Affects Learned Equivariance in Deep Image Recognition Models?"

11 / 11 papers shown

Title
MARs: Multi-view Attention Regularizations for Patch-based Feature Recognition of Space Terrain Timothy Chase Jr Karthik Dantu 28 0 0 07 Oct 2024
Affine steerers for structured keypoint description Georg Bökman Johan Edstedt Michael Felsberg Fredrik Kahl LLMSV 34 2 0 26 Aug 2024
Don't Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs Christodoulos Kechris Jonathan Dan Jose Miranda David Atienza AI4TS 27 0 0 06 Aug 2024
Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control Dongyoon Hwang ByungKun Lee Hojoon Lee Hyunseung Kim Jaegul Choo 42 0 0 10 Jun 2024
Steerers: A framework for rotation equivariant keypoint descriptors Georg Bökman Johan Edstedt Michael Felsberg Fredrik Kahl LLMSV 29 10 0 04 Dec 2023
Color Equivariant Convolutional Networks A. Lengyel Ombretta Strafforello Robert-Jan Bruintjes Alexander Gielisse J. C. V. Gemert 13 4 0 30 Oct 2023
Investigating how ReLU-networks encode symmetries Georg Bökman Fredrik Kahl 22 6 0 26 May 2023
Scale Equivariant U-Net Mateus Sangalli S. Blusseau Santiago Velasco-Forero Jesús Angulo SSeg 23 12 0 10 Oct 2022
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 241 2,600 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
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 282 10,214 0 16 Nov 2016