Results for RPGN
Submission data
| Full name | Regional Purity Guided Network |
| Publication title | Learning Regional Purity for Instance Segmentation on 3D Point Clouds |
| Publication authors | Shichao Dong, Guosheng Lin, Tzu-Yi Hung |
| Publication venue | ECCV 2022 |
| Publication URL | https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136900055.pdf |
| Input Data Types | Uses Color,Uses Geometry Uses 3D |
| Programming language(s) | C++ with CUDA |
| Hardware | RTX3090 |
| Submission creation date | 25 Jan, 2021 |
| Last edited | 10 Nov, 2022 |
| Last uploaded | 17 Feb, 2021 |
3D semantic instance results
| Info | avg ap | bathtub | bed | bookshelf | cabinet | chair | counter | curtain | desk | door | otherfurniture | picture | refrigerator | shower curtain | sink | sofa | table | toilet | window |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.428 | 0.630 | 0.508 | 0.367 | 0.249 | 0.658 | 0.016 | 0.673 | 0.131 | 0.234 | 0.383 | 0.270 | 0.434 | 0.748 | 0.274 | 0.609 | 0.406 | 0.842 | 0.267 |