Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods

31 August 2021

Papers citing "Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods"

4 / 4 papers shown

Title
Benefits of mirror weight symmetry for 3D mesh segmentation in biomedical applications Asif Abdullah Rokoni Maksim Dzhigil Martin Kasparick 3DH 19 0 0 29 Sep 2023
Anisotropic Diffusion Stencils: From Simple Derivations over Stability Estimates to ResNet Implementations Karl Schrader Joachim Weickert Michael Krause DiffM 11 0 0 11 Sep 2023
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 294 10,216 0 16 Nov 2016
Image Denoising via Multi-scale Nonlinear Diffusion Models Wensen Feng Peng Qiao Xuanyang Xi Yunjin Chen DiffM 19 5 0 21 Sep 2016