Self-supervised Monocular Trained Depth Estimation using Self-attention and Discrete Disparity Volume

1 code implementation • CVPR 2020 • Adrian Johnston, Gustavo Carneiro

We show that the extension of the state-of-the-art self-supervised monocular trained depth estimator Monodepth2 with these two ideas allows us to design a model that produces the best results in the field in KITTI 2015 and Make3D, closing the gap with respect self-supervised stereo training and fully supervised approaches.

Monocular Depth Estimation