Facial Forgery Detection on AM IAFaces (test)
69.31Accuracy (ACC)MFVLR
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MFVLRTraining Set=Diffae2026.05 | 69.31 | 91.86 | |
| MFVLRTraining Set=LatTrans2026.05 | 56.38 | 76.29 | |
| MFCLIPTraining Set=LatTrans2026.05 | 55.26 | 75.41 | |
| MSCCNetTraining Set=Diffae2026.05 | 54.67 | 70.39 | |
| MFCLIPTraining Set=Diffae2026.05 | 54.55 | 90.27 | |
| DADFTraining Set=Diffae2026.05 | 53.95 | 65.39 | |
| DD-VQATraining Set=Diffae2026.05 | 53.84 | 74.9 | |
| MSCCNetTraining Set=LatTrans2026.05 | 52.18 | 67.41 | |
| HiFi-NetTraining Set=Diffae2026.05 | 52.12 | 68.03 | |
| XceptionTraining Set=Diffae2026.05 | 52.05 | 55.51 | |
| HiFi-NetTraining Set=LatTrans2026.05 | 52.05 | 66.22 | |
| DADFTraining Set=LatTrans2026.05 | 51.9 | 65.78 | |
| VLFFDTraining Set=Diffae2026.05 | 51.02 | 72.81 | |
| FatFormerTraining Set=Diffae2026.05 | 50.93 | 52.45 | |
| ViTTraining Set=Diffae2026.05 | 50.45 | 54.2 | |
| DIRETraining Set=Diffae2026.05 | 50.3 | 63.01 | |
| CViTTraining Set=LatTrans2026.05 | 50.25 | 51.71 | |
| VLFFDTraining Set=LatTrans2026.05 | 50.23 | 65.96 | |
| DD-VQATraining Set=LatTrans2026.05 | 50.12 | 66.45 | |
| FatFormerTraining Set=LatTrans2026.05 | 50.09 | 54.87 | |
| XceptionTraining Set=LatTrans2026.05 | 50.05 | 50.07 | |
| ViTTraining Set=LatTrans2026.05 | 50.05 | 50.97 | |
| M2TRTraining Set=Diffae2026.05 | 50 | 64.93 | |
| FreqNetTraining Set=Diffae2026.05 | 50 | 63.91 | |
| M2TRTraining Set=LatTrans2026.05 | 50 | 63.06 | |
| DIRETraining Set=LatTrans2026.05 | 50 | 56.72 | |
| FreqNetTraining Set=LatTrans2026.05 | 50 | 60.38 | |
| CLIPTraining Set=LatTrans2026.05 | 50 | 53.05 | |
| CViTTraining Set=Diffae2026.05 | 49.95 | 66.64 | |
| CLIPTraining Set=Diffae2026.05 | 49.8 | 49.65 |