# chaytonmin/Occupancy-MAE

<https://repo.masters-masters.com/en/repos/chaytonmin/Occupancy-MAE>

[Home](https://repo.masters-masters.com/en) › [chaytonmin](https://repo.masters-masters.com/en/owners/chaytonmin) › [Occupancy-MAE](https://repo.masters-masters.com/en/repos/chaytonmin/Occupancy-MAE)

chaytonmin/Occupancy-MAE has 284 stars on GitHub. Its RepoMasters card: Alpha tier. Official implementation of our TIV'23 paper: Occupancy-MAE…

| Field | Value |
| --- | --- |
| Owner | [chaytonmin](https://repo.masters-masters.com/en/owners/chaytonmin) |
| Stars | 284 |
| Forks | 18 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2022 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [chaytonmin/Occupancy-MAE](https://github.com/chaytonmin/Occupancy-MAE) |

## Repository

Official implementation of our TIV'23 paper: Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy Autoencoders

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.
