Results for 3D-SIS
Submission data
| Full name | 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans |
| Publication title | 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans |
| Publication authors | Ji Hou, Angela Dai, Matthias Niessner |
| Publication venue | CVPR 2019 |
| Publication URL | https://arxiv.org/abs/1812.07003 |
| Input Data Types | Uses Color,Uses Geometry Uses 2D,Uses 3D |
| Programming language(s) | PyTorch |
| Hardware | GTX1080Ti |
| Source code or download URL | https://github.com/Sekunde/3D-SIS |
| Submission creation date | 23 Nov, 2018 |
| Last edited | 27 Apr, 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
 | 0.382 | 1.000 | 0.432 | 0.245 | 0.190 | 0.577 | 0.013 | 0.263 | 0.033 | 0.320 | 0.240 | 0.075 | 0.422 | 0.857 | 0.117 | 0.699 | 0.271 | 0.883 | 0.235 |