558 citations · 2k across the 15 of their papers we have counts for
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cs.CV2018★ 98 cited
Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images
Michele Volpi, Devis Tuia
When approaching the semantic segmentation of overhead imagery in the decimeter spatial resolution range, successful strategies usually combine powerful methods to learn the visual…
cs.CV2018★ 287 cited
Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models
Diego Marcos, Michele Volpi, Benjamin Kellenberger +1
In remote sensing images, the absolute orientation of objects is arbitrary. Depending on an object's orientation and on a sensor's flight path, objects of the same semantic class c…