PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions

20 July 2020

Papers citing "PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions"

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
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images Hong Wang Minghao Zhou Dong Wei Yuexiang Li Yefeng Zheng 25 6 0 25 Jun 2023
Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution Zikai Sun T. Blu 27 6 0 01 Mar 2023
Warped Convolutional Networks: Bridge Homography to sl(3) algebra by Group Convolution Xinrui Zhan Yang Li Wenyu Liu Jianke Zhu 38 0 0 23 Jun 2022
SE(3) Equivariant Graph Neural Networks with Complete Local Frames Weitao Du He Zhang Yuanqi Du Qi Meng Wei Chen Jia Zhang Tie-Yan Liu 61 82 0 26 Oct 2021
Is Attention Better Than Matrix Decomposition? Zhengyang Geng Meng-Hao Guo Hongxu Chen Xia Li Ke Wei Zhouchen Lin 62 138 0 09 Sep 2021
Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions Qi Xie Qian Zhao Zongben Xu Deyu Meng 27 19 0 30 Jul 2021
Steerable Partial Differential Operators for Equivariant Neural Networks Erik Jenner Maurice Weiler 25 28 0 18 Jun 2021
Probabilistic Numeric Convolutional Neural Networks Marc Finzi Roberto Bondesan Max Welling BDL AI4TS 34 13 0 21 Oct 2020
PDE-based Group Equivariant Convolutional Neural Networks B. Smets J. Portegies Erik J. Bekkers R. Duits AI4CE 19 53 0 24 Jan 2020