Results for GraphCut
Submission data
| Full name | Learning Superpoint Graph Cut for 3D Instance Segmentation |
| Input Data Types | Uses Color,Uses Geometry Uses 3D |
| Programming language(s) | python, c++, cuda |
| Hardware | TITAN RTX, Core i5, 24GB Memory |
| Submission creation date | 17 May, 2022 |
| Last edited | 19 May, 2022 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.552 | 1.000 | 0.611 | 0.438 | 0.392 | 0.714 | 0.139 | 0.598 | 0.327 | 0.389 | 0.510 | 0.598 | 0.427 | 0.754 | 0.463 | 0.761 | 0.588 | 0.903 | 0.329 |