| Full name | Projection-based Point Convolutional Network |
| Description | The convolutional module used in this method consists of MLPs and projection-based 2D convolutional modules. |
| Publication title | Projection-based Point Convolution for Efficient Point Cloud Segmentation |
| Publication authors | Pyunghwan Ahn, Juyoung Yang, Eojindl Yi, Chanho Lee, Junmo Kim |
| Publication venue | IEEE Access |
| Publication URL | https://ieeexplore.ieee.org/document/9687584 |
| Input Data Types | Uses Color Uses 3D |
| Programming language(s) | Python(PyTorch) with CUDA |
| Hardware | Silver 4210, RTX 2080Ti, 128GB RAM |
| Source code or download URL | https://github.com/pahn04/PPConv |
| Submission creation date | 1 Jan, 2022 |
| Last edited | 1 Apr, 2022 |
