Facial Forgery Detection on AM LatTrans (test)
59.98AccuracyMFVLR
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| MFVLRTraining Set=Diffae2026.05 | 59.98 | 82.31 | |
| MFCLIPTraining Set=Diffae2026.05 | 59.96 | 79.76 | |
| ViTTraining Set=Diffae2026.05 | 55.35 | 76.1 | |
| HiFi-NetTraining Set=Diffae2026.05 | 51.42 | 75.07 | |
| DD-VQATraining Set=Diffae2026.05 | 51.36 | 69.04 | |
| VLFFDTraining Set=Diffae2026.05 | 51.02 | 60.74 | |
| MSCCNetTraining Set=Diffae2026.05 | 50.56 | 76.88 | |
| DADFTraining Set=Diffae2026.05 | 50.37 | 74.24 | |
| FatFormerTraining Set=Diffae2026.05 | 50.34 | 59.67 | |
| FreqNetTraining Set=Diffae2026.05 | 50.21 | 51.06 | |
| XceptionTraining Set=Diffae2026.05 | 50 | 68.76 | |
| CViTTraining Set=Diffae2026.05 | 50 | 52.03 | |
| M2TRTraining Set=Diffae2026.05 | 50 | 71.28 | |
| DIRETraining Set=Diffae2026.05 | 50 | 41.69 | |
| CLIPTraining Set=Diffae2026.05 | 50 | 58.83 |