RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant
Deep Networks

RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks

17 May 2018

Robert Calderbank

Guillermo Sapiro

Papers citing "RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks"

15 / 15 papers shown

Title
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers Johann Schmidt Sebastian Stober 43 1 0 06 May 2024
Rotation-Scale Equivariant Steerable Filters Yi-Lun Yang S. Dasmahapatra S. Mahmoodi 27 3 0 10 Apr 2023
A Rotation Meanout Network with Invariance for Dermoscopy Image Classification and Retrieval Yilan Zhang Feng-ying Xie Xuedong Song Hangning Zhou Yiguang Yang Haopeng Zhang Jie Liu OOD 16 9 0 01 Aug 2022
Fast expansion into harmonics on the disk: a steerable basis with fast radial convolutions Nicholas F. Marshall Oscar Mickelin A. Singer 30 8 0 27 Jul 2022
Similarity Equivariant Linear Transformation of Joint Orientation-Scale Space Representations Xinhua Zhang L. Williams 29 2 0 13 Mar 2022
Deformation Robust Roto-Scale-Translation Equivariant CNNs Liyao (Mars) Gao Guang Lin Wei-wei Zhu 22 8 0 22 Nov 2021
Self-Interpretable Model with TransformationEquivariant Interpretation Yipei Wang Xiaoqian Wang 38 23 0 09 Nov 2021
RotEqNet: Rotation-Equivariant Network for Fluid Systems with Symmetric High-Order Tensors Liyao (Mars) Gao Yifan Du Hongshan Li Guang Lin 35 12 0 28 Apr 2020
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images S. Graham David B. A. Epstein Nasir M. Rajpoot 24 87 0 06 Apr 2020
Local Rotation Invariance in 3D CNNs Vincent Andrearczyk Julien Fageot Valentin Oreiller X. Montet Adrien Depeursinge 40 23 0 19 Mar 2020
Directional Message Passing for Molecular Graphs Johannes Klicpera Janek Groß Stephan Günnemann 54 848 0 06 Mar 2020
On Learning Sets of Symmetric Elements Haggai Maron Or Litany Gal Chechik Ethan Fetaya 30 132 0 20 Feb 2020
Attentive Group Equivariant Convolutional Networks David W. Romero Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn 22 89 0 07 Feb 2020
Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods Luca Della Libera Vladimir Golkov Yue Zhu Arman Mielke Daniel Cremers 3DH 3DPC 25 4 0 31 Oct 2019
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding Vardan Papyan Yaniv Romano Michael Elad 59 284 0 27 Jul 2016