Results for RFCR
Submission data
| Full name | RFCR |
| Publication title | Omni-Supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning |
| Publication authors | Jingyu Gong, Jiachen Xu, Xin Tan, Haichuan Song, Yanyun Qu, Yuan Xie, Lizhuang Ma |
| Publication venue | CVPR2021 |
| Publication URL | https://arxiv.org/abs/2105.10203 |
| Input Data Types | Uses Color,Uses Geometry Uses 3D |
| Programming language(s) | python |
| Hardware | GTX 1080Ti |
| Submission creation date | 30 Oct, 2019 |
| Last edited | 25 Jun, 2021 |
| Last uploaded | 16 Nov, 2020 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.702 | 0.889 | 0.745 | 0.813 | 0.672 | 0.818 | 0.493 | 0.815 | 0.623 | 0.610 | 0.947 | 0.470 | 0.249 | 0.594 | 0.848 | 0.705 | 0.779 | 0.646 | 0.892 | 0.823 | 0.611 |