Fatigue Classification on VPFD
89.17AccuracyHeterogeneous Multi-Source Fatigue Detection Framework
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Heterogeneous Multi-Source Fatigue Detection FrameworkClassifier Architecture=Transformer2025.07 | 89.17 | 90.24 | 96.17 | 95.47 | 89.04 | 89.1 | 9.32 | 9.23 | |
| Heterogeneous Multi-Source Fatigue Detection FrameworkClassifier Architecture=LSTM2025.07 | 83.61 | 82.9 | 90.1 | 93.71 | 89.18 | 89.18 | 6.86 | 8.26 | |
| Heterogeneous Multi-Source Fatigue Detection FrameworkClassifier Architecture=MLP2025.07 | 82.9 | 84.3 | 86.6 | 82.51 | 76.59 | 76.59 | 7.32 | 16.35 | |
| Heterogeneous Multi-Source Fatigue Detection FrameworkClassifier Architecture=Transformer2025.07 | 82.31 | 81.72 | 91.84 | 91.81 | 82.3 | 82.29 | 14.08 | 15.31 | |
| Heterogeneous Multi-Source Fatigue Detection FrameworkClassifier Architecture=MLP2025.07 | 81.47 | 80.1 | 88.2 | 93.57 | 86.5 | 86.5 | 5.77 | 9.63 | |
| Heterogeneous Multi-Source Fatigue Detection FrameworkClassifier Architecture=LSTM2025.07 | 81 | 81.9 | 83.9 | 83.32 | 77.14 | 77.14 | 7.97 | 15.66 | |
| Heterogeneous Multi-Source Fatigue Detection FrameworkClassifier Architecture=CNN1D2025.07 | 73.5 | 78.2 | 79.8 | 84.16 | 76.22 | 76.22 | 7.51 | 16.22 | |
| Heterogeneous Multi-Source Fatigue Detection FrameworkClassifier Architecture=CNN1D2025.07 | 60.34 | 59.2 | 64.8 | 91.42 | 90.53 | 90.53 | 5.08 | 7.53 |