11 citations · 12 across the 3 of their papers we have counts for
5 papers · 1 filter
SAR Object Detection with Self-Supervised Pretraining and Curriculum-Aware Sampling
Yasin Almalioglu, Andrzej Kucik, Geoffrey French +3
Object detection in satellite-borne Synthetic Aperture Radar (SAR) imagery holds immense potential in tasks such as urban monitoring and disaster response. However, the inherent co…
Improving Automated Sonar Video Analysis to Notify About Jellyfish Blooms
Artjoms Gorpincenko, Geoffrey French, Peter Knight +2
Human enterprise often suffers from direct negative effects caused by jellyfish blooms. The investigation of a prior jellyfish monitoring system showed that it was unable to reliab…
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…
Self-ensembling for visual domain adaptation
Geoffrey French, Michal Mackiewicz, Mark Fisher
This paper explores the use of self-ensembling for visual domain adaptation problems. Our technique is derived from the mean teacher variant (Tarvainen et al., 2017) of temporal en…