Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation

Richard D. Paul, Alessio Quercia, Vincent Fortuin +2

State-of-the-art computer vision tasks, like monocular depth estimation (MDE), rely heavily on large, modern Transformer-based architectures. However, their application in safety-c…