Latent Discriminant deterministic Uncertainty

1 code implementation • 20 Jul 2022 • Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Severine Dubuisson, David Filliat

Predictive uncertainty estimation is essential for deploying Deep Neural Networks in real-world autonomous systems.

Autonomous Driving Image Classification +3

Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification

2 code implementations • 4 Dec 2020 • Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Severine Dubuisson, Isabelle Bloch

Bayesian neural networks (BNNs) have been long considered an ideal, yet unscalable solution for improving the robustness and the predictive uncertainty of deep neural networks.

Bayesian Inference Decision Making Under Uncertainty +5

One Versus all for deep Neural Network Incertitude (OVNNI) quantification

no code implementations • 1 Jun 2020 • Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Severine Dubuisson, Isabelle Bloch

This is due to the fact that modern DNNs are usually uncalibrated and we cannot characterize their epistemic uncertainty.

TRADI: Tracking deep neural network weight distributions for uncertainty estimation

no code implementations • ECCV 2020 • Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Severine Dubuisson, Isabelle Bloch

During training, the weights of a Deep Neural Network (DNN) are optimized from a random initialization towards a nearly optimum value minimizing a loss function.

Computational Efficiency General Classification +2

Pairwise Conditional Random Forests for Facial Expression Recognition

no code implementations • ICCV 2015 • Arnaud Dapogny, Kevin Bailly, Severine Dubuisson

Facial expression can be seen as the dynamic variation of one's appearance over time.

Facial Expression Recognition Facial Expression Recognition (FER)