Geometric Pretraining for Monocular Depth Estimation
Kaixuan Wang,Yao Chen,Hengkai Guo,Linfu Wen,Shaojie Shen,Kaixuan Wang,Yao Chen,Hengkai Guo,Linfu Wen,Shaojie Shen
ImageNet-pretrained networks have been widely used in transfer learning for monocular depth estimation. These pretrained networks are trained with classification losses for which only semantic information is exploited while spatial information is ignored. However, both semantic and spatial information is important for per-pixel depth estimation. In this paper, we design a novel self-supervised geo...
