Results for SQN_LA
Submission data
| Full name | SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds |
| Input Data Types | Uses Color,Uses Geometry Uses 3D |
| Programming language(s) | Tensorflow |
| Hardware | Intel Core™ i9-10900X CPU, NVIDIARTX Titan GPU |
| Submission creation date | 29 Jan, 2022 |
| Last edited | 29 Jan, 2022 |
3D semantic label results with limited annotations
| Info | avg iou | bathtub | bed | bookshelf | cabinet | chair | counter | curtain | desk | door | floor | otherfurniture | picture | refrigerator | shower curtain | sink | sofa | table | toilet | wall | window |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.576 | 0.674 | 0.670 | 0.722 | 0.454 | 0.790 | 0.342 | 0.622 | 0.487 | 0.427 | 0.933 | 0.357 | 0.157 | 0.452 | 0.721 | 0.492 | 0.696 | 0.487 | 0.790 | 0.748 | 0.507 |