# hlzz/DeepMatchVO

<https://repo.masters-masters.com/en/repos/hlzz/DeepMatchVO>

[Home](https://repo.masters-masters.com/en) › [hlzz](https://repo.masters-masters.com/en/owners/hlzz) › [DeepMatchVO](https://repo.masters-masters.com/en/repos/hlzz/DeepMatchVO)

hlzz/DeepMatchVO has 202 stars on GitHub. Its RepoMasters card: Prototype tier. Implementation of ICRA 2019 paper: Beyond Photometric Loss for Self-Supervised…

| Field | Value |
| --- | --- |
| Owner | [hlzz](https://repo.masters-masters.com/en/owners/hlzz) |
| Stars | 202 |
| Forks | 33 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | visual-odometry, deep-learning, pose-estimation, depth-estimation, slam |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [hlzz/DeepMatchVO](https://github.com/hlzz/DeepMatchVO) |

## Repository

Implementation of ICRA 2019 paper: Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.