12 citations · 34 across the 17 of their papers we have counts for
3 papers · 1 filter
Learning to Identify Drilling Defects in Turbine Blades with Single Stage Detectors
Andrea Panizza, Szymon Tomasz Stefanek, Stefano Melacci +2
Nondestructive testing (NDT) is widely applied to defect identification of turbine components during manufacturing and operation. Operational efficiency is key for gas turbine OEM…
Deep Learning to See: Towards New Foundations of Computer Vision
Alessandro Betti, Marco Gori, Stefano Melacci
The remarkable progress in computer vision over the last few years is, by and large, attributed to deep learning, fueled by the availability of huge sets of labeled data, and paire…
Learning to see like children: proof of concept
Marco Gori, Marco Lippi, Marco Maggini +1
In the last few years we have seen a growing interest in machine learning approaches to computer vision and, especially, to semantic labeling. Nowadays state of the art systems use…