Driver Fatigue Detection on UTA-RLDD
94.72AccuracyHST-HGN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| HST-HGNTraining dataset=YawDD, Protocol=Cross-dataset evaluation (backbone frozen, head adapted)2026.04 | 94.72 | 94.34 | |
| LiteFatTraining dataset=YawDD, Protocol=Cross-dataset evaluation (backbone frozen, head adapted)2026.04 | 92.61 | 91.58 | |
| JHPFA-NetTraining dataset=YawDD, Protocol=Cross-dataset evaluation (backbone frozen, head adapted)2026.04 | 92.25 | 91.94 | |
| IsoSSL-MoCoTraining dataset=YawDD, Protocol=Cross-dataset evaluation (backbone frozen, head adapted)2026.04 | 90.49 | 89.74 | |
| VBFLLFATraining dataset=YawDD, Protocol=Cross-dataset evaluation (backbone frozen, head adapted)2026.04 | 88.73 | 88.4 | |
| VideoMAETraining dataset=YawDD, Protocol=Cross-dataset evaluation (backbone frozen, head adapted)2026.04 | 88.03 | 87.61 | |
| SlowFastTraining dataset=YawDD, Protocol=Cross-dataset evaluation (backbone frozen, head adapted)2026.04 | 87.32 | 85.91 | |
| 2s ST-GCNTraining dataset=YawDD, Protocol=Cross-dataset evaluation (backbone frozen, head adapted)2026.04 | 81.34 | 80.86 |