| Full name | Stratified Transformer for 3D Point Cloud Segmentation |
| Description | Stratified Transformer adopts a novel stratified sampling strategy, and develops the point embedding module as well as the contextual position encoding to further boost the performance. |
| Publication title | Stratified Transformer for 3D Point Cloud Segmentation |
| Publication authors | Xin Lai*, Jianhui Liu*, Li Jiang, Liwei Wang, Hengshuang Zhao, Shu Liu, Xiaojuan Qi, Jiaya Jia |
| Publication venue | CVPR 2022 |
| Publication URL | https://arxiv.org/pdf/2203.14508.pdf |
| Input Data Types | Uses Color Uses 3D |
| Programming language(s) | Python with CUDA |
| Hardware | Tesla V100 |
| Source code or download URL | https://github.com/dvlab-research/Stratified-Transformer |
| Submission creation date | 31 Aug, 2021 |
| Last edited | 20 Apr, 2022 |
