Semantic Segmentation on TopoMortar
68DiceclDice
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| clDiceModel=Detectron2+DeepLabv3+, iter=42026.03 | 68 | 21.4 | 75 | |
| SkelRecallModel=Detectron2+DeepLabv3+2026.03 | 68 | 23.64 | 76 | |
| TverskyModel=Detectron2+DeepLabv3+, beta=0.82026.03 | 68 | 22.59 | 75 | |
| CEDice+CEDiceModel=Detectron2+DeepLabv3+2026.03 | 68 | 20.86 | 76 | |
| SCNP-CEDiceModel=Detectron2+DeepLabv3+, Method Variant=CEDice applied to SCNP2026.03 | 68 | 20.3 | 75 | |
| CEDiceModel=Detectron2+DeepLabv3+2026.03 | 67 | 25.06 | 75 | |
| TopoLossModel=Detectron2+DeepLabv3+2026.03 | 67 | 27.22 | 74 | |
| FocalModel=Detectron2+DeepLabv3+2026.03 | 67 | 29.75 | 74 | |
| RWLossModel=Detectron2+DeepLabv3+2026.03 | 54 | 19.4 | 76 |