187 citations · 262 across the 7 of their papers we have counts for
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Space-scale Exploration of the Poor Reliability of Deep Learning Models: the Case of the Remote Sensing of Rooftop Photovoltaic Systems
Gabriel Kasmi, Laurent Dubus, Yves-Marie Saint Drenan +1
Photovoltaic (PV) energy grows rapidly and is crucial for the decarbonization of electric systems. However, centralized registries recording the technical characteristifs of roofto…
Can We Reliably Improve the Robustness to Image Acquisition of Remote Sensing of PV Systems?
Gabriel Kasmi, Laurent Dubus, Yves-Marie Saint-Drenan +1
Photovoltaic (PV) energy is crucial for the decarbonization of energy systems. Due to the lack of centralized data, remote sensing of rooftop PV installations is the best option to…
Assessment of the Reliablity of a Model's Decision by Generalizing Attribution to the Wavelet Domain
Gabriel Kasmi, Laurent Dubus, Yves-Marie Saint Drenan +1
Neural networks have shown remarkable performance in computer vision, but their deployment in numerous scientific and technical fields is challenging due to their black-box nature.…
A crowdsourced dataset of aerial images with annotated solar photovoltaic arrays and installation metadata
Gabriel Kasmi, Yves-Marie Saint-Drenan, David Trebosc +4
Photovoltaic (PV) energy generation plays a crucial role in the energy transition. Small-scale PV installations are deployed at an unprecedented pace, and their integration into th…
Towards unsupervised assessment with open-source data of the accuracy of deep learning-based distributed PV mapping
Gabriel Kasmi, Laurent Dubus, Philippe Blanc +1
Photovoltaic (PV) energy is rapidly growing and key to mitigating the energy crisis. However, distributed PV generation, which amounts to half of the PV installed capacity, is typi…