8 citations · 8 across the 2 of their papers we have counts for
4 papers
Virtual Adversarial Training in Feature Space to Improve Unsupervised Video Domain Adaptation
Artjoms Gorpincenko, Geoffrey French, Michal Mackiewicz
Virtual Adversarial Training has recently seen a lot of success in semi-supervised learning, as well as unsupervised Domain Adaptation. However, so far it has been used on input sa…
Using Deep Learning to Count Albatrosses from Space
Ellen Bowler, Peter T. Fretwell, Geoffrey French +1
In this paper we test the use of a deep learning approach to automatically count Wandering Albatrosses in Very High Resolution (VHR) satellite imagery. We use a dataset of manually…
Semi-supervised semantic segmentation needs strong, varied perturbations
Geoff French, Samuli Laine, Timo Aila +2
Consistency regularization describes a class of approaches that have yielded ground breaking results in semi-supervised classification problems. Prior work has established the clus…
Spherical sampling methods for the calculation of metamer mismatch volumes
Michal Mackiewicz, Hans Jakob Rivertz, Graham D. Finlayson
In this paper, we propose two methods of calculating theoretically maximal metamer mismatch volumes. Unlike prior art techniques, our methods do not make any assumptions on the sha…