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 | bathtub | bed | bookshelf | cabinet | chair | counter | curtain | desk | door | otherfurniture | picture | refrigerator | shower curtain | sink | sofa | table | toilet | window |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.586 | 1.000 | 0.593 | 0.440 | 0.480 | 0.771 | 0.345 | 0.437 | 0.444 | 0.495 | 0.548 | 0.579 | 0.621 | 0.720 | 0.409 | 0.712 | 0.593 | 0.960 | 0.395 |