# RWTHVision/3d-semantic-segmentation

<https://repo.masters-masters.com/en/repos/RWTHVision/3d-semantic-segmentation>

[Home](https://repo.masters-masters.com/en) › [RWTHVision](https://repo.masters-masters.com/en/owners/RWTHVision) › [3d-semantic-segmentation](https://repo.masters-masters.com/en/repos/RWTHVision/3d-semantic-segmentation)

RWTHVision/3d-semantic-segmentation has 103 stars on GitHub. Its RepoMasters card: Prototype tier. This work is based on our paper Exploring Spatial Context…

| Field | Value |
| --- | --- |
| Owner | [RWTHVision](https://repo.masters-masters.com/en/owners/RWTHVision) |
| Stars | 103 |
| Forks | 31 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | semantic-segmentation, point-cloud, tensorflow, deep-neural-networks, deep-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [RWTHVision/3d-semantic-segmentation](https://github.com/RWTHVision/3d-semantic-segmentation) |

## Repository

This work is based on our paper Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds, which is appeared at the IEEE International Conference on Computer Vision (ICCV) 2017, 3DRMS Workshop.

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.
