Tactile Recognition on Augmented Real-World Dataset
88.89AccuracyTacMamba
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| TacMamba2026.03 | 88.89 | 0.45 | 60.85 | |
| Bi-LSTM2026.03 | 82.5 | 9.2 | 67.79 | |
| Transformer2026.03 | 81.25 | 11.37 | 2,164.71 | |
| Single-LSTM2026.03 | 65.33 | 0.54 | 63.7 | |
| 1D-CNN2026.03 | 56.25 | 0.23 | 19.14 |