Drowsiness Estimation on MCDD
84.31AccuracyVDMoE
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| VDMoE2024.10 | 84.31 | 69.84 | 66.72 | 92.58 | |
| VBFLFFA2024.10 | 81.05 | 65.39 | 58.81 | 90.78 | |
| ResNet3DInput source=facial video2024.10 | 80.3 | 65.82 | 62.28 | 88.19 | |
| ViViTInput source=facial video2024.10 | 79.81 | 60.62 | 51.05 | 92.4 | |
| 2s-STGCN2024.10 | 79.43 | 56.6 | 44.05 | 94.92 | |
| ReNeXt3D-101+LSTMInput source=facial video2024.10 | 78.61 | 63.3 | 61.32 | 87.45 | |
| IsoSSL-MoCoInput source=facial video2024.10 | 76.82 | 56.32 | 59.62 | 87.71 | |
| DDDNetInput source=facial video2024.10 | 74.22 | 51.09 | 51.31 | 82.1 | |
| FacialUnits2024.10 | 73.78 | 52.21 | 53.07 | 79.35 | |
| 3DCNN+BiLSTMInput source=facial video2024.10 | 72.18 | 51.09 | 52.84 | 79.86 | |
| DBN-HMMInput source=facial video2024.10 | 71.96 | 51.57 | 57.25 | 78.63 | |
| MIGCNInput source=facial video2024.10 | 70.24 | 50.75 | 59.31 | 83.09 |