Surface Shape Prediction (Task 1) on Engine Surface Shape Prediction
8.33Δ+RMSE (EG-MTL)H-MT-MF
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| H-MT-MFσ^2_high-res (%)=0.5, σ^2_low-res (%)=2.52026.03 | 8.33 | 18.41 | |
| H-MT-MFσ^2_high-res (%)=2.5, σ^2_low-res (%)=5.02026.03 | 8.94 | 15.98 | |
| H-MT-MFσ^2_high-res (%)=0.5, σ^2_low-res (%)=5.02026.03 | 9.52 | 17.64 | |
| H-MT-MFσ^2_high-res (%)=0.1, σ^2_low-res (%)=2.52026.03 | 10.4 | 20.34 | |
| H-MT-MFσ^2_high-res (%)=0.1, σ^2_low-res (%)=0.52026.03 | 10.76 | 21.14 | |
| H-MT-MFσ^2_high-res (%)=0.1, σ^2_low-res (%)=5.02026.03 | 11.35 | 19.02 | |
| H-MT-MFσ^2_high-res (%)=0.5, σ^2_low-res (%)=12.52026.03 | 14.34 | 11.96 | |
| H-MT-MFσ^2_high-res (%)=2.5, σ^2_low-res (%)=12.52026.03 | 15 | 12.74 | |
| H-MT-MFσ^2_high-res (%)=0.1, σ^2_low-res (%)=12.52026.03 | 16.79 | 13.05 |