# worldbench/RoboDepth

<https://repo.masters-masters.com/en/repos/worldbench/RoboDepth>

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

worldbench/RoboDepth has 298 stars on GitHub. Its RepoMasters card: Alpha tier. \[NeurIPS 2023\] RoboDepth: Robust Out-of-Distribution Depth Estimation under…

| Field | Value |
| --- | --- |
| Owner | [worldbench](https://repo.masters-masters.com/en/owners/worldbench) |
| Stars | 298 |
| Forks | 33 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2022 |
| Topics | autonomous-driving, depth-estimation, robustness, ood-detection |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [worldbench/RoboDepth](https://github.com/worldbench/RoboDepth) |

## Repository

\[NeurIPS 2023\] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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