687 citations · 778 across the 10 of their papers we have counts for
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Distance transform regression for spatially-aware deep semantic segmentation
Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux +1
Understanding visual scenes relies more and more on dense pixel-wise classification obtained via deep fully convolutional neural networks. However, due to the nature of the network…
Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
This work addresses the scarcity of annotated hyperspectral data required to train deep neural networks. Especially, we investigate generative adversarial networks and their applic…
Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
In this work, we investigate various methods to deal with semantic labeling of very high resolution multi-modal remote sensing data. Especially, we study how deep fully convolution…