Plausible Uncertainties for Human Pose Regression

no code implementations • ICCV 2023 • Lennart Bramlage, Michelle Karg, Cristóbal Curio

Here, we propose a straightforward human pose regression framework to examine the behavior of two established methods for simultaneous aleatoric and epistemic uncertainty estimation: maximum a-posteriori (MAP) estimation with Monte-Carlo variational inference and deep evidential regression (DER).

Autonomous Driving Pose Estimation +3

Attention or memory? Neurointerpretable agents in space and time

no code implementations • 9 Jul 2020 • Lennart Bramlage, Aurelio Cortese

In neuroscience, attention has been shown to bidirectionally interact with reinforcement learning (RL) processes.

Atari Games Dimensionality Reduction +1