# QingyongHu/RandLA-Net

<https://repo.masters-masters.com/en/repos/QingyongHu/RandLA-Net>

[Home](https://repo.masters-masters.com/en) › [QingyongHu](https://repo.masters-masters.com/en/owners/QingyongHu) › [RandLA-Net](https://repo.masters-masters.com/en/repos/QingyongHu/RandLA-Net)

QingyongHu/RandLA-Net has 1,567 stars on GitHub. Its RepoMasters card: Beta tier. 🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)

| Field | Value |
| --- | --- |
| Owner | [QingyongHu](https://repo.masters-masters.com/en/owners/QingyongHu) |
| Stars | 1,567 |
| Forks | 334 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Topics | semantic-segmentation, 3d-vision, computer-vision, semantic3d, s3dis, semantickitti |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [QingyongHu/RandLA-Net](https://github.com/QingyongHu/RandLA-Net) |

## Repository

🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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