Deception Detection on MDPE and DDEP
66.63AccuracyCLB-HBB-Bai-Rel-DDEP
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| CLB-HBB-Bai-Rel-DDEPBackbone=CLB, Fusion=HBB, Reference=Bai2026.04 | 66.63 | 70.21 | 61.49 | 60.71 | 60.83 | |
| ViT-HBB-Bai-Rel-DDEPBackbone=ViT, Fusion=HBB, Reference=Bai2026.04 | 66.35 | 69.45 | 61.06 | 59.41 | 59.3 | |
| CLB-HBB-Bai-DDEPBackbone=CLB, Fusion=HBB, Reference=Bai, Dataset Variant=DDEP2026.04 | 65.72 | 69.68 | 59.32 | 58.33 | 58.3 | |
| ViT-WMB-Bai-Rel-DDEPBackbone=ViT, Fusion=WMB, Reference=Bai2026.04 | 65.42 | 69.15 | 61.07 | 60.1 | 60.19 | |
| ViT-HBB-Bai-DDEPBackbone=ViT, Fusion=HBB, Reference=Bai, Dataset Variant=DDEP2026.04 | 65.12 | 68.22 | 59.26 | 57.82 | 57.57 | |
| ViT-WMB-Bai-DDEPBackbone=ViT, Fusion=WMB, Reference=Bai, Dataset Variant=DDEP2026.04 | 64.78 | 67.93 | 59.84 | 58.55 | 58.45 | |
| CLB-HBB-Bai-MDPEBackbone=CLB, Fusion=HBB, Reference=Bai, Dataset Variant=MDPE2026.04 | 64.66 | 68.7 | 49.48 | 52.33 | 50.87 | |
| ViT-HBB-Bai-MDPEBackbone=ViT, Fusion=HBB, Reference=Bai, Dataset Variant=MDPE2026.04 | 64 | 67.5 | 47.15 | 52.91 | 49.86 | |
| ViT-WMB-Bai-MDPEBackbone=ViT, Fusion=WMB, Reference=Bai, Dataset Variant=MDPE2026.04 | 63.59 | 67.2 | 46.89 | 54.35 | 50.35 |