Feature-metric Loss for Self-supervised Learning of Depth and Egomotion

Chang Shu, Kun Yu, Zhixiang Duan +1

Photometric loss is widely used for self-supervised depth and egomotion estimation. However, the loss landscapes induced by photometric differences are often problematic for optimi…