Published June 20, 2024
| Version v1
Publication
Open
Space-scale Exploration of the Poor Reliability of Deep Learning Models: the Case of the Remote Sensing of Rooftop Photovoltaic Systems
Creators
-
1.
Mines ParisTech
-
2.
PSL Research University
- 3. Réseau de transport d'électricité
Description
Models weights for the replication of the results of the paper "Space-scale Exploration of the Poor Reliability of Deep Learning Models: the Case of the Remote Sensing of Rooftop Photovoltaic Systems".
Code for the replication of the results is accessible at https://github.com/gabrielkasmi/robust_pv_mapping.
The weight for the Scattering transform are organized in google and ign folders, for models trained on Google and IGN respectively. The depth of the models (m=1 to m=3) are indicated in the model names.
Files
models.zip
Files
(719.6 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:ca40a90c1cef0e528264995328abfed7
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700.6 MB | Preview Download |
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md5:8259810d1cb7128c04868c85814d4cfb
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18.9 MB | Preview Download |
Additional details
Related works
- Is new version of
- Conference paper: arXiv:2309.12214 (arXiv)
Software
- Repository URL
- https://github.com/gabrielkasmi/robust_pv_mapping
- Development Status
- Active