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Self-supervised monocular depth estimation for real-world deployment: An economical approach

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Eco-Depth

This work is an early version of our submission paper, "Self-supervised monocular depth estimation for real-world deployment: An economical approach"

We will update the full version after the article is accepted, please consider citing it if you think it is a useful work.

Results on KITTI dataset

Results on DDAD dataset

Visualization results on KITTI dataset

Network deployment on intelligent UAV depth perception system

Visualization results of real-world deployment

Training & Testing:

The main framework of this project is based on Monodepth2. You can use the code of this project to replace the corresponding positions of Monodepth2 for training and testing.

Acknowledgement

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Self-supervised monocular depth estimation for real-world deployment: An economical approach

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