Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation--Supplementary Material -- 1 Bayesian Regression for DICE Coefficient

Neural Information Processing Systems 

The L-1 regression problem can be interpreted as maximum likelihood with a Laplacian error model. By taking negative log on Eq. 1, we have, ln P (t