Results for MTML
Submission data
| Full name | Multi-Task Metric Learning |
| Publication title | 3D Instance Segmentation via Multi-task Metric Learning |
| Publication authors | Jean Lahoud, Bernard Ghanem, Marc Pollefeys, Martin R. Oswald |
| Publication venue | ICCV 2019 [oral] |
| Input Data Types | Uses Color,Uses Geometry Uses 3D |
| Programming language(s) | Python, Tensorflow |
| Hardware | GTX 1080Ti |
| Submission creation date | 17 Nov, 2018 |
| Last edited | 11 Nov, 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.549 | 1.000 | 0.807 | 0.588 | 0.327 | 0.647 | 0.004 | 0.815 | 0.180 | 0.418 | 0.364 | 0.182 | 0.445 | 1.000 | 0.442 | 0.688 | 0.571 | 1.000 | 0.396 |