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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.598 | 0.741 | 0.681 | 0.766 | 0.482 | 0.805 | 0.389 | 0.658 | 0.499 | 0.437 | 0.936 | 0.386 | 0.243 | 0.422 | 0.663 | 0.552 | 0.700 | 0.519 | 0.809 | 0.750 | 0.515 |