2020
Feature-metric Loss for Self-supervised Learning of Depth and Egomotion
ECCV 2020poster
Photometric loss is widely used for self-supervised depth and egomotion estimation. However, the loss landscapes induced by photometric differences are often problematic for optimization, caused by plateau landscapes for pixels in texture-less regions or multiple local minima for less discriminative…