Results for OA-CNN-L_ScanNet20
Submission data
| Full name | Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation |
| Input Data Types | Uses Color Uses 3D |
| Programming language(s) | Python |
| Hardware | GeForce 3090 |
| Submission creation date | 3 Mar, 2023 |
| Last edited | 23 Mar, 2023 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.756 | 0.783 | 0.826 | 0.858 | 0.776 | 0.837 | 0.548 | 0.896 | 0.649 | 0.675 | 0.962 | 0.586 | 0.335 | 0.771 | 0.802 | 0.770 | 0.787 | 0.691 | 0.936 | 0.880 | 0.761 |