9 citations · 9 across the 1 of their papers we have counts for
2 papers
cs.CV2020★ 9 cited
One Versus all for deep Neural Network Incertitude (OVNNI) quantification
Gianni Franchi, Andrei Bursuc, Emanuel Aldea +2
Deep neural networks (DNNs) are powerful learning models yet their results are not always reliable. This is due to the fact that modern DNNs are usually uncalibrated and we cannot…
cs.CV2019
Evaluating Crowd Density Estimators via Their Uncertainty Bounds
Jennifer Vandoni, Emanuel Aldea, Sylvie Le Hégarat-Mascle
In this work, we use the Belief Function Theory which extends the probabilistic framework in order to provide uncertainty bounds to different categories of crowd density estimators…