Results for CSC-Pretrained
Submission data
| Full name | Grouping Semantic Segmentation into Instances |
| Description | Contrastive Scene Contexts Pre-trained SparseConv Backbone + Grouping based on semantic segmentation results (w/o using any additional modules, such as ScoreNet or Proposal Aggregation) |
| Input Data Types | Uses Color,Uses Geometry Uses 3D |
| Programming language(s) | PyTorch, CUDA, MinkovskiEngine |
| Hardware | V100 |
| Submission creation date | 21 Dec, 2018 |
| Last edited | 22 Jan, 2021 |
3D semantic instance results
| Info | avg ap 50% | bathtub | bed | bookshelf | cabinet | chair | counter | curtain | desk | door | otherfurniture | picture | refrigerator | shower curtain | sink | sofa | table | toilet | window |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.648 | 1.000 | 0.810 | 0.768 | 0.523 | 0.813 | 0.143 | 0.819 | 0.389 | 0.422 | 0.511 | 0.443 | 0.650 | 1.000 | 0.624 | 0.732 | 0.634 | 1.000 | 0.375 |