Events

In this workshop we will discuss the importance of uncertainty in deep learning for robotic applications. In addition, the workshop will host the 2nd Probabilistic Object Detection challenge, a new challenge that evaluates the ability of visual object detectors to accurately quantify their spatial and semantic uncertainty.

The workshop will provide tutorial-style talks that cover the state-of-the-art of uncertainty quantification in deep learning, specifically Bayesian and non-Bayesian approaches, spanning perception, world-modeling, decision making, and actions. Invited expert speakers will discuss the importance of uncertainty in deep learning for robotic perception, but also action. In addition the workshop will provide a forum to discuss novel and ongoing work in a variety of topics.

See the full details of the workshop here