7 citations · 14 across the 16 of their papers we have counts for
4 papers · 1 filter
Constructing a Real-World Benchmark for Early Wildfire Detection with the New PYRONEAR-2025 Dataset
Mateo Lostanlen, Nicolas Isla, Jose Guillen +4
Early wildfire detection (EWD) is of the utmost importance to enable rapid response efforts, and thus minimize the negative impacts of wildfire spreads. To this end, we present PYR…
Targeted Image Data Augmentation Increases Basic Skills Captioning Robustness
Valentin Barriere, Felipe del Rio, Andres Carvallo De Ferari +3
Artificial neural networks typically struggle in generalizing to out-of-context examples. One reason for this limitation is caused by having datasets that incorporate only partial…
Boosting Crop Classification by Hierarchically Fusing Satellite, Rotational, and Contextual Data
Valentin Barriere, Martin Claverie, Maja Schneider +2
Accurate in-season crop type classification is crucial for the crop production estimation and monitoring of agricultural parcels. However, the complexity of the plant growth patter…
Multimodal Crop Type Classification Fusing Multi-Spectral Satellite Time Series with Farmers Crop Rotations and Local Crop Distribution
Valentin Barriere, Martin Claverie
Accurate, detailed, and timely crop type mapping is a very valuable information for the institutions in order to create more accurate policies according to the needs of the citizen…