Sebastien Giordano — accepted AI-conference papers

2023

FLAIR : a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery

Anatol Garioud, Nicolas Gonthier, Loic Landrieu, Apolline De Wit, Marion Valette, Marc Poupée +2

NeurIPS 2023poster

We introduce the French Land cover from Aerospace ImageRy (FLAIR), an extensive dataset from the French National Institute of Geographical and Forest Information (IGN) that provides a unique and rich resource for large-scale geospatial analysis. FLAIR contains high-resolution aerial imagery with a g…

Cited by 16 Source ↗PDF ↗code ↗Scholar ↗

2020

Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention

Vivien Sainte Fare Garnot, Loic Landrieu, Sebastien Giordano, Nesrine Chehata

CVPR 2020oral

Satellite image time series, bolstered by their growing availability, are at the forefront of an extensive effort towards automated Earth monitoring by international institutions. In particular, large-scale control of agricultural parcels is an issue of major political and economic importance. In th…

Cited by 227 PDF ↗code ↗Scholar ↗