| Full name | 3D Scene Instance Segmentation with Superpoint Select and Merge |
| Description | SGIFormer: Semantic-guided and Geometric-enhanced Interleaving Transformer for 3D Instance Segmentation |
| Publication title | SGIFormer: Semantic-guided and Geometric-enhanced Interleaving Transformer for 3D Instance Segmentation |
| Publication authors | Lei Yao, Yi Wang, Moyun Liu, Lap-Pui Chau |
| Publication venue | TCSVT, 2024 |
| Publication URL | https://ieeexplore.ieee.org/abstract/document/10753065 |
| Input Data Types | Uses Color,Uses Geometry Uses 3D |
| Programming language(s) | Python |
| Hardware | 4090 |
| Source code or download URL | https://github.com/RayYoh/SGIFormer |
| Submission creation date | 7 Feb, 2024 |
| Last edited | 22 Nov, 2024 |
| Last uploaded | 9 Jul, 2024 |