Surface Shape Prediction (Average) on Engine Surface Shape Prediction
10.23Δ+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 | 10.23 | 19.26 | |
| H-MT-MFσ^2_high-res (%)=2.5, σ^2_low-res (%)=5.02026.03 | 10.58 | 17.41 | |
| H-MT-MFσ^2_high-res (%)=0.5, σ^2_low-res (%)=5.02026.03 | 11.47 | 18.61 | |
| H-MT-MFσ^2_high-res (%)=0.1, σ^2_low-res (%)=2.52026.03 | 12.7 | 21.67 | |
| H-MT-MFσ^2_high-res (%)=0.1, σ^2_low-res (%)=0.52026.03 | 13.09 | 22.62 | |
| H-MT-MFσ^2_high-res (%)=0.1, σ^2_low-res (%)=5.02026.03 | 13.62 | 20.55 | |
| H-MT-MFσ^2_high-res (%)=0.5, σ^2_low-res (%)=12.52026.03 | 16.24 | 12.44 | |
| H-MT-MFσ^2_high-res (%)=2.5, σ^2_low-res (%)=12.52026.03 | 17.01 | 13.13 | |
| H-MT-MFσ^2_high-res (%)=0.1, σ^2_low-res (%)=12.52026.03 | 19.08 | 14.69 |