Self-Supervised Attention Learning for Depth and Ego-motion Estimation
Assem Sadek,Boris Chidlovskii,Assem Sadek,Boris Chidlovskii
We address the problem of depth and ego-motion estimation from image sequences. Recent advances in the domain propose to train a deep learning model for both tasks using image reconstruction in a self-supervised manner. We revise the assumptions and the limitations of the current approaches and propose two improvements to boost the performance of the depth and ego-motion estimation. We first use L...
