417 citations · 2.6k across the 34 of their papers we have counts for
5 papers · 1 filter
Self-Supervised Pretraining on Satellite Imagery: a Case Study on Label-Efficient Vehicle Detection
Jules BOURCIER, Thomas Floquet, Gohar Dashyan +3
In defense-related remote sensing applications, such as vehicle detection on satellite imagery, supervised learning requires a huge number of labeled examples to reach operational…
Ensemble Learning techniques for object detection in high-resolution satellite images
Arthur Vilhelm, Matthieu Limbert, Clément Audebert +1
Ensembling is a method that aims to maximize the detection performance by fusing individual detectors. While rarely mentioned in deep-learning articles applied to remote sensing, e…
Neural Architecture Search in operational context: a remote sensing case-study
Anthony Cazasnoves, Pierre-Antoine Ganaye, Kévin Sanchis +1
Deep learning has become in recent years a cornerstone tool fueling key innovations in the industry, such as autonomous driving. To attain good performances, the neural network arc…
Active learning for object detection in high-resolution satellite images
Alex Goupilleau, Tugdual Ceillier, Marie-Caroline Corbineau
In machine learning, the term active learning regroups techniques that aim at selecting the most useful data to label from a large pool of unlabelled examples. While supervised dee…
Concurrent Segmentation and Object Detection CNNs for Aircraft Detection and Identification in Satellite Images
Damien Grosgeorge, Maxime Arbelot, Alex Goupilleau +2
Detecting and identifying objects in satellite images is a very challenging task: objects of interest are often very small and features can be difficult to recognize even using ver…