161 citations · 162 across the 2 of their papers we have counts for
4 papers · 1 filter
CatchMonitor: a machine learning system for automated fish discard quantification
Geoff French, Michal Mackiewicz, Mark Fisher +2
We report on the continued development of CatchMonitor, resulting in a prototype computer vision system designed to automatically quantify discarded fish from video footage collect…
Colour augmentation for improved semi-supervised semantic segmentation
Geoff French, Michal Mackiewicz
Consistency regularization describes a class of approaches that have yielded state-of-the-art results for semi-supervised classification. While semi-supervised semantic segmentatio…
Milking CowMask for Semi-Supervised Image Classification
Geoff French, Avital Oliver, Tim Salimans
Consistency regularization is a technique for semi-supervised learning that underlies a number of strong results for classification with few labeled data. It works by encouraging a…
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…