Results for MVF-GNN
Submission data
| Full name | Multi View Fusion with GNN for 3D Semantic segmentation of Indoor Scenes |
| Input Data Types | Uses Color Uses 2D |
| Programming language(s) | Python with CUDA |
| Hardware | E5 2600 v3,geforce gtx 1080ti |
| Submission creation date | 27 Jan, 2022 |
| Last edited | 4 Sep, 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.658 | 0.558 | 0.751 | 0.655 | 0.690 | 0.722 | 0.453 | 0.867 | 0.579 | 0.576 | 0.893 | 0.523 | 0.293 | 0.733 | 0.571 | 0.692 | 0.659 | 0.606 | 0.875 | 0.804 | 0.668 |