2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.LG2025
IAMAP: Unlocking Deep Learning in QGIS for non-coders and limited computing resources
Paul Tresson, Pierre Le Coz, Hadrien Tulet +2
Remote sensing has entered a new era with the rapid development of artificial intelligence approaches. However, the implementation of deep learning has largely remained restricted…
cs.CV2025★ 2 cited
Prospects for Mitigating Spectral Variability in Tropical Species Classification Using Self-Supervised Learning
Colin Prieur, Nassim Ait Ali Braham, Paul Tresson +2
Airborne hyperspectral imaging is a promising method for identifying tropical species, but spectral variability between acquisitions hinders consistent results. This paper proposes…