A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation

M. M. A. Valiuddin, R. J. G. van Sloun, C. G. A. Viviers +2

Advances in architectural design, data availability, and compute have driven remarkable progress in semantic segmentation. Yet, these models often rely on relaxed Bayesian assumpti…