Results for OneFormer3D
Submission data
| Full name | One Transformer for Unified Point Cloud Segmentation |
| Publication title | OneFormer3D: One Transformer for Unified Point Cloud Segmentation |
| Publication authors | Maxim Kolodiazhnyi, Anna Vorontsova, Anton Konushin, Danila Rukhovich |
| Publication URL | https://arxiv.org/abs/2311.14405 |
| Input Data Types | Uses Color Uses 3D |
| Programming language(s) | Python, CUDA |
| Hardware | RTX 3090 TI |
| Source code or download URL | https://github.com/oneformer3d/oneformer3d |
| Submission creation date | 31 Jul, 2022 |
| Last edited | 5 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
 | 0.896 | 1.000 | 1.000 | 0.913 | 0.858 | 0.951 | 0.786 | 0.837 | 0.916 | 0.908 | 0.778 | 0.803 | 0.750 | 1.000 | 0.976 | 0.926 | 0.882 | 0.995 | 0.849 |