1 code implementation • 6 Apr 2023 • Erik Englesson, Amir Mehrpanah, Hossein Azizpour
A natural way of estimating heteroscedastic label noise in regression is to model the observed (potentially noisy) target as a sample from a normal distribution, whose parameters can be learned by minimizing the negative log-likelihood.
1 code implementation • 16 Nov 2022 • Fatemeh Karimi, Amir Mehrpanah, Reza Rawassizadeh
Our approach devises model-agnostic curriculum-based learning for depth estimation.
Ranked #1 on Depth Estimation on KITTI Eigen split