Optimization Dynamics of Equivariant and Augmented Neural Networks

1 code implementation • 23 Mar 2023 • Axel Flinth, Fredrik Ohlsson

We investigate the optimization of multilayer perceptrons on symmetric data.

In Search of Projectively Equivariant Networks

1 code implementation • 29 Sep 2022 • Georg Bökman, Axel Flinth, Fredrik Kahl

Equivariance of linear neural network layers is well studied.

Rigidity Preserving Image Transformations and Equivariance in Perspective

no code implementations • 31 Jan 2022 • Lucas Brynte, Georg Bökman, Axel Flinth, Fredrik Kahl

We characterize the class of image plane transformations which realize rigid camera motions and call these transformations `rigidity preserving'.

6D Pose Estimation using RGB Inductive Bias +1

ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds

1 code implementation • CVPR 2022 • Georg Bökman, Fredrik Kahl, Axel Flinth

In this paper, we are concerned with rotation equivariance on 2D point cloud data.