65 citations · 87 across the 18 of their papers we have counts for
4 papers · 1 filter
In Search of Projectively Equivariant Networks
Georg Bökman, Axel Flinth, Fredrik Kahl
Equivariance of linear neural network layers is well studied. In this work, we relax the equivariance condition to only be true in a projective sense. We propose a way to construct…
DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision
Erik Wallin, Lennart Svensson, Fredrik Kahl +1
Following the success of supervised learning, semi-supervised learning (SSL) is now becoming increasingly popular. SSL is a family of methods, which in addition to a labeled traini…
A case for using rotation invariant features in state of the art feature matchers
Georg Bökman, Fredrik Kahl
The aim of this paper is to demonstrate that a state of the art feature matcher (LoFTR) can be made more robust to rotations by simply replacing the backbone CNN with a steerable C…
Rigidity Preserving Image Transformations and Equivariance in Perspective
Lucas Brynte, Georg Bökman, Axel Flinth +1
We characterize the class of image plane transformations which realize rigid camera motions and call these transformations `rigidity preserving'. In particular, 2D translations of…