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sjsu-smart-lab
Self-supervised-Monocular-Trained-Depth-Estimation-using-Self-attention-and-Discrete-Disparity-Volum sjsu-smart-lab
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Reproduction of the CVPR 2020 paper - Self-supervised monocular trained depth estimation using self-attention and discrete disparity volume
pytorch kitti-dataset self-attention ordinal-regression unsupervised-learning self-supervised-learning discrete-disparity-volume monocular-depth-estimation cityscapes-depth-estimation inplace-activated-batchnorm
Created 2021-01-30
7 commits to master branch, last one 3 years ago