Tactile Hardness Regression on TactEx Online Data (pretraining)
6.83RMSEResNet34-LSTM3
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| ResNet34-LSTM3Backbone=ResNet34, LSTM Layers=3, Contact Images=22026.02 | 6.83 | 0.94 | 0.96 | |
| TransformerBackbone=Transformer, Contact Images=42026.02 | 6.86 | 0.93 | 0.95 | |
| TransformerBackbone=Transformer, Contact Images=22026.02 | 6.87 | 0.93 | 0.94 | |
| ResNet50-LSTM3Backbone=ResNet50, LSTM Layers=3, Contact Images=42026.02 | 7.13 | 0.93 | 0.96 | |
| ResNet50-LSTM3Backbone=ResNet50, LSTM Layers=3, Contact Images=22026.02 | 7.18 | 0.93 | 0.95 | |
| ResNet50-LSTM1Backbone=ResNet50, LSTM Layers=1, Contact Images=22026.02 | 7.43 | 0.93 | 0.95 | |
| ResNet101-LSTM3Backbone=ResNet101, LSTM Layers=3, Contact Images=22026.02 | 7.46 | 0.92 | 0.95 | |
| TransformerBackbone=Transformer, Contact Images=2, Training Scale=Half Scale2026.02 | 9.03 | 0.65 | 0.81 | |
| ResNet50-LSTM3Backbone=ResNet50, LSTM Layers=3, Contact Images=2, Training Scale=Half Scale2026.02 | 9.11 | 0.63 | 0.77 | |
| VGG-LSTM3Backbone=VGG, LSTM Layers=3, Contact Images=22026.02 | 27.98 | -0.01 | -0.03 |