Results for SSEN
Submission data
| Full name | spatial semantic embedding network |
| Publication title | Spatial Semantic Embedding Network: Fast 3D Instance Segmentation with Deep Metric Learning |
| Publication authors | Dongsu Zhang, Junha Chun, Sang Kyun Cha, Young Min Kim |
| Publication venue | Arxiv |
| Publication URL | https://arxiv.org/abs/2007.03169 |
| Input Data Types | Uses Color,Uses Geometry Uses 3D |
| Programming language(s) | python with pytorch |
| Hardware | RTX 2080 |
| Website | https://github.com/96lives/ssen |
| Submission creation date | 13 Nov, 2019 |
| Last edited | 13 Jul, 2020 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.384 | 0.852 | 0.494 | 0.192 | 0.226 | 0.648 | 0.022 | 0.398 | 0.299 | 0.277 | 0.317 | 0.231 | 0.194 | 0.514 | 0.196 | 0.586 | 0.444 | 0.843 | 0.184 |