Results for InsSSM
Submission data
| Full name | 3D Scene Instance Segmentation with Superpoint Select and Merge |
| Description | SGIFormer: Semantic-guided and Geometric-enhanced Interleaving Transformer for 3D Instance Segmentation |
| Input Data Types | Uses Color,Uses Geometry Uses 3D |
| Programming language(s) | Python |
| Hardware | 4090 |
| Submission creation date | 7 Feb, 2024 |
| Last edited | 10 Jul, 2024 |
3D semantic instance results
| Info | avg ap 25% | bathtub | bed | bookshelf | cabinet | chair | counter | curtain | desk | door | otherfurniture | picture | refrigerator | shower curtain | sink | sofa | table | toilet | window |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.883 | 1.000 | 0.996 | 0.800 | 0.865 | 0.960 | 0.808 | 0.852 | 0.940 | 0.899 | 0.785 | 0.810 | 0.700 | 1.000 | 0.912 | 0.851 | 0.895 | 0.997 | 0.827 |