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10/21/2022
Self-Supervised Pretraining on Satellite Imagery: a Case Study on Label-Efficient Vehicle Detection
In defense-related remote sensing applications, such as vehicle detectio...
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02/16/2022
Ensemble Learning techniques for object detection in high-resolution satellite images
Ensembling is a method that aims to maximize the detection performance b...
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02/10/2022
Case-based reasoning for rare events prediction on strategic sites
Satellite imagery is now widely used in the defense sector for monitorin...
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02/10/2022
Improving performance of aircraft detection in satellite imagery while limiting the labelling effort: Hybrid active learning
The earth observation industry provides satellite imagery with high spat...
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09/15/2021
Neural Architecture Search in operational context: a remote sensing case-study
Deep learning has become in recent years a cornerstone tool fueling key ...
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01/07/2021
Active learning for object detection in high-resolution satellite images
In machine learning, the term active learning regroups techniques that a...
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05/27/2020