2D mask segmentation on LLFF (val)
92AccuracyNeural Volumetric Object Selection
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Neural Volumetric Object SelectionSegmentation Type=3D segmentation2022.05 | 92 | 70.1 | |
| DeepLabV3Segmentation Type=2D segmentation2022.05 | 91.5 | 56.6 | |
| DEXTRSegmentation Type=2D segmentation2022.05 | 89.7 | 34.5 | |
| Graph-cutSegmentation Type=2D segmentation2022.05 | 88.6 | 59 | |
| FCA-NetSegmentation Type=2D segmentation2022.05 | 88.3 | 62.7 | |
| GrabCutSegmentation Type=2D segmentation2022.05 | 78.1 | 49 | |
| Graph-cut (3D)Segmentation Type=3D segmentation2022.05 | 73.6 | 39.4 | |
| RandomSegmentation Type=Random2022.05 | 50 | 13.5 | |
| Scribbles (projected)Segmentation Type=Projection2022.05 | 8.1 | 16.6 |