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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.486 | 0.587 | 0.649 | 0.527 | 0.372 | 0.718 | 0.320 | 0.510 | 0.393 | 0.325 | 0.924 | 0.290 | 0.095 | 0.287 | 0.607 | 0.356 | 0.626 | 0.416 | 0.672 | 0.680 | 0.359 |