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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.542 | 0.568 | 0.674 | 0.618 | 0.462 | 0.772 | 0.351 | 0.567 | 0.443 | 0.378 | 0.931 | 0.335 | 0.173 | 0.392 | 0.623 | 0.455 | 0.688 | 0.466 | 0.769 | 0.720 | 0.450 |