no code implementations • 9 Oct 2021 • Geoff French, Michal Mackiewicz
Consistency regularization describes a class of approaches that have yielded state-of-the-art results for semi-supervised classification.
2 code implementations • 26 Mar 2020 • Geoff French, Avital Oliver, Tim Salimans
Using it to provide perturbations for semi-supervised consistency regularization, we achieve a state-of-the-art result on ImageNet with 10% labeled data, with a top-5 error of 8. 76% and top-1 error of 26. 06%.
no code implementations • 25 Sep 2019 • Geoff French, Timo Aila, Samuli Laine, Michal Mackiewicz, Graham Finlayson
Consistency regularization describes a class of approaches that have yielded ground breaking results in semi-supervised classification problems.
5 code implementations • 5 Jun 2019 • Geoff French, Samuli Laine, Timo Aila, Michal Mackiewicz, Graham Finlayson
We analyze the problem of semantic segmentation and find that its' distribution does not exhibit low density regions separating classes and offer this as an explanation for why semi-supervised segmentation is a challenging problem, with only a few reports of success.