Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods

31 October 2019

Papers citing "Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods"

4 / 4 papers shown

Title
PreCM: The Padding-based Rotation Equivariant Convolution Mode for Semantic Segmentation Xinyu Xu Huazhen Liu Huilin Xiong W. Yu Tao Zhang 62 0 0 03 Nov 2024
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 102 127 0 11 Mar 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 165 308 0 05 Nov 2018
Relative Camera Pose Estimation Using Convolutional Neural Networks Iaroslav Melekhov Juha Ylioinas Arno Solin Esa Rahtu 62 197 0 05 Feb 2017