Results for MVF-GNN(2D)
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 | 4 Sep, 2023 |
Last edited | 4 Sep, 2023 |
2D 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0.636 | 0.606 | 0.794 | 0.434 | 0.688 | 0.337 | 0.464 | 0.798 | 0.632 | 0.589 | 0.908 | 0.420 | 0.329 | 0.743 | 0.594 | 0.738 | 0.676 | 0.527 | 0.906 | 0.818 | 0.715 |