| Full name | A joint framework for 3D scene semantic segmentation. |
| Description | We present a unified point-based framework for 3D point cloud segmentation that effectively optimizes pixel-level features, geometrical structures and global context priors of an entire scene. |
| Publication title | A Unified Point-Based Framework for 3D Segmentation |
| Publication authors | Hung-Yueh Chiang, Yen-Liang Lin, Yueh-Cheng Liu, Winston H. Hsu |
| Publication venue | 3DV 2019 |
| Publication URL | https://arxiv.org/abs/1908.00478 |
| Input Data Types | Uses Color,Uses Geometry Uses 2D,Uses 3D |
| Programming language(s) | Python with Tensorflow |
| Hardware | NVIDIA TESLA P100 16GB GPU |
| Website | https://arxiv.org/abs/1908.00478 |
| Source code or download URL | https://github.com/ken012git/joint_point_based |
| Submission creation date | 25 Oct, 2018 |
| Last edited | 18 Aug, 2019 |
| Last uploaded | 8 Feb, 2019 |
