2 papers
eess.IV2020
A Cycle GAN Approach for Heterogeneous Domain Adaptation in Land Use Classification
Claire Voreiter, Jean-Christophe Burnel, Pierre Lassalle +3
In the field of remote sensing and more specifically in Earth Observation, new data are available every day, coming from different sensors. Leveraging on those data in classificati…
cs.LG2020
Generating Natural Adversarial Hyperspectral examples with a modified Wasserstein GAN
Jean-Christophe Burnel, Kilian Fatras, Nicolas Courty
Adversarial examples are a hot topic due to their abilities to fool a classifier's prediction. There are two strategies to create such examples, one uses the attacked classifier's…