Results for TST3D
Submission data
Full name | Two-scale Superpoint with Twin-attention for 3D Instance Segmentation |
Input Data Types | Uses Color,Uses Geometry Uses 3D |
Programming language(s) | Python |
Hardware | NVIDIA A100 |
Submission creation date | 27 Sep, 2023 |
Last edited | 25 Mar, 2024 |
3D semantic instance results
Info | avg ap 25% | bathtub | bed | bookshelf | cabinet | chair | counter | curtain | desk | door | otherfurniture | picture | refrigerator | shower curtain | sink | sofa | table | toilet | window |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0.879 | 1.000 | 0.994 | 0.921 | 0.807 | 0.939 | 0.771 | 0.887 | 0.923 | 0.862 | 0.722 | 0.768 | 0.756 | 1.000 | 0.910 | 0.904 | 0.836 | 0.999 | 0.824 |