Rotation Equivariance and Invariance in Convolutional Neural Networks

31 May 2018

Papers citing "Rotation Equivariance and Invariance in Convolutional Neural Networks"

7 / 7 papers shown

Title
Swinv2-Imagen: Hierarchical Vision Transformer Diffusion Models for Text-to-Image Generation Rui Li Weihua Li Yi Yang Hanyu Wei Jianhua Jiang Quan-wei Bai DiffM 27 11 0 18 Oct 2022
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons Serge Assaad Carlton Downey Rami Al-Rfou Nigamaa Nayakanti Benjamin Sapp 38 18 0 08 Jun 2022
Symmetry Structured Convolutional Neural Networks K. D. G. Maduranga Vasily Zadorozhnyy Qiang Ye 21 3 0 03 Mar 2022
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 41 65 0 02 Jul 2021
Trajectory Prediction using Equivariant Continuous Convolution Robin Walters Jinxi Li Rose Yu 26 43 0 21 Oct 2020
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization Rui Wang Robin Walters Rose Yu AI4CE 52 168 0 08 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