sjsu-smart-lab / Self-supervised-Monocular-Trained-Depth-Estimation-using-Self-attention-and-Discrete-Disparity-Volum

Reproduction of the CVPR 2020 paper - Self-supervised monocular trained depth estimation using self-attention and discrete disparity volume

Date Created 2021-01-30 (3 years ago)

Commits 7 (last one 3 years ago)

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pytorch kitti-dataset self-attention ordinal-regression unsupervised-learning self-supervised-learning discrete-disparity-volume monocular-depth-estimation cityscapes-depth-estimation inplace-activated-batchnorm

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updated: 2024-04-08 @ 12:44pm, id: 334327904 / R_kgDOE-1wYA