687 citations · 835 across the 19 of their papers we have counts for
3 papers · 1 filter
Multi-Attribute Balanced Sampling for Disentangled GAN Controls
Perla Doubinsky, Nicolas Audebert, Michel Crucianu +1
Various controls over the generated data can be extracted from the latent space of a pre-trained GAN, as it implicitly encodes the semantics of the training data. The discovered co…
Robust and Decomposable Average Precision for Image Retrieval
Elias Ramzi, Nicolas Thome, Clément Rambour +2
In image retrieval, standard evaluation metrics rely on score ranking, e.g. average precision (AP). In this paper, we introduce a method for robust and decomposable average precisi…
Deep Learning for Classification of Hyperspectral Data: A Comparative Review
Nicolas Audebert, Bertrand Saux, Sébastien Lefèvre
In recent years, deep learning techniques revolutionized the way remote sensing data are processed. Classification of hyperspectral data is no exception to the rule, but has intrin…