Results for RandLA-Net
Submission data
| Full name | RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds |
| Description | Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling |
| Input Data Types | Uses Color,Uses Geometry Uses 3D |
| Programming language(s) | Tensorflow |
| Hardware | AMD Ryzen X3700 GPU 2080Ti |
| Submission creation date | 6 Dec, 2020 |
| Last edited | 6 Jan, 2021 |
3D semantic label results
| Info | avg iou | bathtub | bed | bookshelf | cabinet | chair | counter | curtain | desk | door | floor | otherfurniture | picture | refrigerator | shower curtain | sink | sofa | table | toilet | wall | window |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
 | 0.645 | 0.778 | 0.731 | 0.699 | 0.577 | 0.829 | 0.446 | 0.736 | 0.477 | 0.523 | 0.945 | 0.454 | 0.269 | 0.484 | 0.749 | 0.618 | 0.738 | 0.599 | 0.827 | 0.792 | 0.621 |