1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CV2024★ 41 cited
METER: a mobile vision transformer architecture for monocular depth estimation
L. Papa, P. Russo, I. Amerini
Depth estimation is a fundamental knowledge for autonomous systems that need to assess their own state and perceive the surrounding environment. Deep learning algorithms for depth…
cs.CV2016★ 1 cited
Learning the Roots of Visual Domain Shift
Tatiana Tommasi, Martina Lanzi, Paolo Russo +1
In this paper we focus on the spatial nature of visual domain shift, attempting to learn where domain adaptation originates in each given image of the source and target set. We bor…