Driver Detection on synthetic artificial data (val)
83.45F1 ScoreIDEE
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| IDEEBackbone=Mamba2024.10 | 83.45 | 71.6 | 99.52 | |
| IDEEBackbone=Video Swin Transformer2024.10 | 82.78 | 70.63 | 99.51 | |
| SimpleNetCategory=One-Class2024.10 | 75.31 | 60.39 | 99.2 | |
| ARNetCategory=MIL2024.10 | 72.92 | 57.39 | 99.26 | |
| DeepMILCategory=MIL2024.10 | 70.68 | 54.68 | 99.22 | |
| IDEEBackbone=Video Swin Transformer [100]2024.10 | 70.2 | 54.08 | 98.9 | |
| IDEEBackbone=Mamba [111]2024.10 | 66.63 | 50.19 | 98.81 | |
| RTFMCategory=MIL2024.10 | 60.09 | 42.95 | 98.34 | |
| RTFMCategory=MIL2024.10 | 59.9 | 42.75 | 98.27 | |
| STEALNetCategory=Rec.2024.10 | 56.4 | 39.28 | 98.33 | |
| STEALNetCategory=Rec.2024.10 | 55.98 | 38.87 | 98.47 | |
| UniADCategory=Rec.2024.10 | 49.48 | 32.88 | 97.66 | |
| ARNetCategory=MIL2024.10 | 48.98 | 32.59 | 98.82 | |
| Naive2024.10 | 47.93 | 31.52 | 98.61 | |
| UniADCategory=Rec.2024.10 | 47.53 | 31.18 | 97.44 | |
| Naive2024.10 | 46.89 | 30.63 | 98.49 | |
| IFCategory=One-Class2024.10 | 34.99 | 21.28 | 97.16 | |
| SimpleNetCategory=One-Class2024.10 | 34.57 | 20.9 | 97.56 | |
| Integrated Gradients II2024.10 | 31.23 | 18.58 | 95.26 | |
| IFCategory=One-Class2024.10 | 28.55 | 16.66 | 97.63 | |
| OCSVMCategory=One-Class2024.10 | 28.21 | 16.44 | 95.64 | |
| OCSVMCategory=One-Class2024.10 | 27.96 | 16.27 | 97.77 | |
| Integrated Gradients I2024.10 | 24.15 | 14.12 | 92.18 | |
| DeepMILCategory=MIL2024.10 | 20.18 | 13.38 | 71.33 |