Young's modulus prediction on Burgess (Seen-Object)
0.8822Log10 AccuracyVGG-LSTM
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| VGG-LSTMInput Image=✓, Input F=✓, Input W=✓, Input E=✓, Sampling Strategy=Balanced, Data Augmentation=True2025.06 | 0.8822 | 0.0084 | |
| VGG-LSTMInput Image=✓, Input F=-, Input W=-, Input E=-, Sampling Strategy=Balanced, Data Augmentation=True2025.06 | 0.8797 | 0.0087 | |
| VGG-LSTMInput Image=✓, Input F=✓, Input W=✓, Input E=-, Sampling Strategy=Balanced, Data Augmentation=True2025.06 | 0.8705 | 0.0088 | |
| VGG-LSTMInput Image=✓, Input F=✓, Input W=-, Input E=-, Sampling Strategy=Balanced, Data Augmentation=True2025.06 | 0.8685 | 0.0095 | |
| Res-TfInput Image=✓, Input F=✓, Input W=✓, Input E=✓, Sampling Strategy=Balanced, Data Augmentation=True2025.06 | 0.8658 | 0.0104 | |
| Res-TfInput Image=✓, Input F=-, Input W=-, Input E=-, Sampling Strategy=Balanced, Data Augmentation=True2025.06 | 0.8367 | 0.011 | |
| Res-TfInput Image=✓, Input F=✓, Input W=-, Input E=-, Sampling Strategy=Balanced, Data Augmentation=True2025.06 | 0.8254 | 0.0116 | |
| Res-TfInput Image=✓, Input F=✓, Input W=✓, Input E=-, Sampling Strategy=Balanced, Data Augmentation=True2025.06 | 0.8247 | 0.0112 | |
| Top10NNInput Image=✓, Input F=✓, Input W=✓, Input E=-, Sampling Strategy=Balanced, Data Augmentation=True2025.06 | 0.5921 | 0.0252 | |
| Top10NNInput Image=✓, Input F=✓, Input W=-, Input E=-, Sampling Strategy=Balanced, Data Augmentation=True2025.06 | 0.5832 | 0.0266 | |
| Top10NNInput Image=✓, Input F=✓, Input W=✓, Input E=✓, Sampling Strategy=Balanced, Data Augmentation=True2025.06 | 0.4611 | 0.0315 | |
| Top10NNInput Image=✓, Input F=-, Input W=-, Input E=-, Sampling Strategy=Balanced, Data Augmentation=True2025.06 | 0.4583 | 0.0346 |