Surface Shape Prediction (Task 2) on Engine Surface Shape Prediction
11.23Δ+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 | 11.23 | 18.29 | |
| H-MT-MFσ^2_high-res (%)=2.5, σ^2_low-res (%)=5.02026.03 | 11.45 | 17.73 | |
| H-MT-MFσ^2_high-res (%)=0.5, σ^2_low-res (%)=5.02026.03 | 12.48 | 17.74 | |
| H-MT-MFσ^2_high-res (%)=0.1, σ^2_low-res (%)=2.52026.03 | 13.82 | 20.98 | |
| H-MT-MFσ^2_high-res (%)=0.1, σ^2_low-res (%)=0.52026.03 | 14.33 | 22.21 | |
| H-MT-MFσ^2_high-res (%)=0.1, σ^2_low-res (%)=5.02026.03 | 14.69 | 19.67 | |
| H-MT-MFσ^2_high-res (%)=0.5, σ^2_low-res (%)=12.52026.03 | 17.09 | 12.67 | |
| H-MT-MFσ^2_high-res (%)=2.5, σ^2_low-res (%)=12.52026.03 | 18.44 | 14.14 | |
| H-MT-MFσ^2_high-res (%)=0.1, σ^2_low-res (%)=12.52026.03 | 20 | 15.29 |