Results for dtc_net
Submission data
| Full name | Contrastive Learning for Weakly supervised Point Cloud Segmentation |
| Description | Teacher-guided Contrastive Learning for Weakly supervised Point Cloud Semantic Segmentation |
| Input Data Types | Uses Color Uses 3D |
| Programming language(s) | python |
| Hardware | none |
| Submission creation date | 13 Feb, 2023 |
| Last edited | 27 Feb, 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.596 | 0.683 | 0.725 | 0.715 | 0.549 | 0.803 | 0.444 | 0.647 | 0.493 | 0.495 | 0.941 | 0.409 | 0.000 | 0.424 | 0.544 | 0.598 | 0.703 | 0.522 | 0.912 | 0.792 | 0.520 |