Results for NWSYY
Submission data
| Full name | Muti-scale Feature and Attention for 3D Semantic Segmentation |
| Input Data Types | Uses Geometry Uses 3D |
| Programming language(s) | Python with CUDA |
| Hardware | NVIDIA RTX2060 |
| Submission creation date | 2 Nov, 2022 |
| Last edited | 9 Nov, 2023 |
3D semantic label results with limited reconstructions
| Info | avg iou | bathtub | bed | bookshelf | cabinet | chair | counter | curtain | desk | door | floor | otherfurniture | picture | refrigerator | shower curtain | sink | sofa | table | toilet | wall | window |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.678 | 0.779 | 0.782 | 0.774 | 0.637 | 0.827 | 0.491 | 0.736 | 0.597 | 0.561 | 0.947 | 0.438 | 0.206 | 0.610 | 0.758 | 0.667 | 0.773 | 0.594 | 0.880 | 0.824 | 0.673 |