Pose Estimation on ViTac (test)
0.051MSEMultiDiffSense + ResNet18
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| MultiDiffSense + ResNet18Training Dataset Type=Mixed Dataset, Component=Z2026.02 | 0.051 | 0.226 | 0.183 | 0.837 | |
| ResNet18Training Dataset Type=Real Dataset, Component=Z2026.02 | 0.068 | 0.261 | 0.213 | 0.782 | |
| MultiDiffSense + ResNet18Training Dataset Type=Mixed Dataset, Component=X2026.02 | 0.131 | 0.361 | 0.28 | 0.986 | |
| ResNet18Training Dataset Type=Real Dataset, Component=X2026.02 | 0.183 | 0.428 | 0.309 | 0.98 | |
| MultiDiffSense + ResNet18Training Dataset Type=Synthetic Dataset, Component=Z2026.02 | 0.594 | 0.77 | 0.689 | -0.893 | |
| MultiDiffSense + ResNet18Training Dataset Type=Synthetic Dataset, Component=X2026.02 | 0.903 | 0.95 | 0.761 | 0.902 | |
| MultiDiffSense + ResNet18Training Dataset Type=Mixed Dataset, Component=theta_z2026.02 | 6.755 | 2.599 | 2.123 | 0.997 | |
| MultiDiffSense + ResNet18Training Dataset Type=Synthetic Dataset, Component=theta_z2026.02 | 15.041 | 3.878 | 2.9 | 0.994 | |
| ResNet18Training Dataset Type=Real Dataset, Component=theta_z2026.02 | 15.13 | 3.89 | 3.037 | 0.994 |