n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error

no code implementations • 20 Aug 2019 • Michel Moukari, Loïc Simon, Sylvaine Picard, Frédéric Jurie

As deep learning applications are becoming more and more pervasive in robotics, the question of evaluating the reliability of inferences becomes a central question in the robotics community.

Monocular Depth Estimation

MERCI: A NEW METRIC TO EVALUATE THE CORRELATION BETWEEN PREDICTIVE UNCERTAINTY AND TRUE ERROR

no code implementations • 27 Sep 2018 • Michel Moukari, Loïc Simon, Sylvaine Picard, Frédéric Jurie

One contribution of this article is to draw attention on existing metrics developed in the forecast community, designed to evaluate both the sharpness and the calibration of predictive uncertainty.

Monocular Depth Estimation regression

Deep multi-scale architectures for monocular depth estimation

no code implementations • 8 Jun 2018 • Michel Moukari, Sylvaine Picard, Loic Simon, Frédéric Jurie

This paper aims at understanding the role of multi-scale information in the estimation of depth from monocular images.

Monocular Depth Estimation