Results for CU-Hybrid Net
Submission data
| Full name | 2D-3D Hybrid Convolutional Neural Network |
| Description | This is a framework which extends data by combining 2D and 3D data to get accurate segmentation results. |
| Input Data Types | Uses Color,Uses Geometry Uses 2D,Uses 3D |
| Programming language(s) | C++,PyTorch,Python |
| Hardware | GeForce 2080Ti 8GB,i7-8700k |
| Submission creation date | 10 Dec, 2019 |
| Last edited | 6 Jan, 2023 |
| Last uploaded | 6 Jan, 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.764 | 0.924 | 0.819 | 0.840 | 0.757 | 0.853 | 0.580 | 0.848 | 0.709 | 0.643 | 0.958 | 0.587 | 0.295 | 0.753 | 0.884 | 0.758 | 0.815 | 0.725 | 0.927 | 0.867 | 0.743 |