Results for UNet-backbone
Submission data
| Full name | 3D Graph Embedding Learning |
| Input Data Types | Uses Color,Uses Geometry Uses 3D |
| Programming language(s) | python |
| Hardware | NVIDIA 1080TI |
| Submission creation date | 21 Dec, 2018 |
| Last edited | 13 Feb, 2019 |
3D semantic instance results
| Info | avg ap 50% | bathtub | bed | bookshelf | cabinet | chair | counter | curtain | desk | door | otherfurniture | picture | refrigerator | shower curtain | sink | sofa | table | toilet | window |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.319 | 0.667 | 0.715 | 0.233 | 0.189 | 0.479 | 0.008 | 0.218 | 0.067 | 0.201 | 0.173 | 0.107 | 0.123 | 0.438 | 0.150 | 0.615 | 0.355 | 0.916 | 0.093 |