Uncertainty Estimation on FaceForensics++ (test)
0.475Pearson Correlation (ρ)Evidential DL
Evaluation Results
| Method | Links | |
|---|---|---|
| Evidential DLBackbone=ViT-B2026.06 | 0.475 | |
| Evidential DLBackbone=DeiT-B2026.06 | 0.47 | |
| COFBackbone=EfficientNet-B02026.06 | 0.469 | |
| Evidential DLBackbone=ConvNeXt-B2026.06 | 0.461 | |
| Deep EnsemblesBackbone=EfficientNet-B0, M (ensemble members)=52026.06 | 0.458 | |
| Deep EnsemblesBackbone=DeiT-B, M (ensemble members)=52026.06 | 0.452 | |
| COFBackbone=EfficientNetV2-S2026.06 | 0.452 | |
| COFBackbone=EfficientNet-B42026.06 | 0.451 | |
| Deep EnsemblesBackbone=ViT-B, M (ensemble members)=52026.06 | 0.45 | |
| Deep EnsemblesBackbone=EfficientNetV2-S, M (ensemble members)=52026.06 | 0.448 | |
| COFBackbone=DeiT-B2026.06 | 0.448 | |
| Evidential DLBackbone=Swin-B2026.06 | 0.443 | |
| Evidential DLBackbone=MaxViT-B2026.06 | 0.442 | |
| COFBackbone=MaxViT-B2026.06 | 0.442 | |
| Deep EnsemblesBackbone=EfficientNet-B4, M (ensemble members)=52026.06 | 0.439 | |
| Deep EnsemblesBackbone=ConvNeXt-B, M (ensemble members)=52026.06 | 0.439 | |
| MC DropoutBackbone=EfficientNetV2-S, T (stochastic passes)=202026.06 | 0.438 | |
| Deep EnsemblesBackbone=Swin-B, M (ensemble members)=52026.06 | 0.437 | |
| COFBackbone=ConvNeXt-B2026.06 | 0.436 | |
| COFBackbone=Swin-B2026.06 | 0.432 | |
| Deep EnsemblesBackbone=MaxViT-B, M (ensemble members)=52026.06 | 0.43 | |
| COFBackbone=ViT-B2026.06 | 0.429 | |
| COFBackbone=ResNet1012026.06 | 0.426 | |
| Deep EnsemblesBackbone=Xception, M (ensemble members)=52026.06 | 0.422 | |
| COFBackbone=ResNet502026.06 | 0.419 | |
| COFBackbone=Xception2026.06 | 0.414 | |
| Deep EnsemblesBackbone=ResNet101, M (ensemble members)=52026.06 | 0.413 | |
| Deep EnsemblesBackbone=ResNet50, M (ensemble members)=52026.06 | 0.402 | |
| MC DropoutBackbone=DeiT-B, T (stochastic passes)=202026.06 | 0.396 | |
| MC DropoutBackbone=EfficientNet-B4, T (stochastic passes)=202026.06 | 0.381 | |
| MC DropoutBackbone=EfficientNet-B0, T (stochastic passes)=202026.06 | 0.367 | |
| MC DropoutBackbone=ViT-B, T (stochastic passes)=202026.06 | 0.362 | |
| Evidential DLBackbone=Xception2026.06 | 0.36 | |
| Evidential DLBackbone=EfficientNetV2-S2026.06 | 0.349 | |
| MC DropoutBackbone=Swin-B, T (stochastic passes)=202026.06 | 0.343 | |
| Evidential DLBackbone=EfficientNet-B02026.06 | 0.342 | |
| MC DropoutBackbone=ResNet101, T (stochastic passes)=202026.06 | 0.335 | |
| Evidential DLBackbone=EfficientNet-B42026.06 | 0.335 | |
| MC DropoutBackbone=ResNet50, T (stochastic passes)=202026.06 | 0.332 | |
| Evidential DLBackbone=ResNet502026.06 | 0.332 | |
| MC DropoutBackbone=Xception, T (stochastic passes)=202026.06 | 0.331 | |
| MC DropoutBackbone=ConvNeXt-B, T (stochastic passes)=202026.06 | 0.327 | |
| MC DropoutBackbone=MaxViT-B, T (stochastic passes)=202026.06 | 0.293 | |
| Evidential DLBackbone=ResNet1012026.06 | 0.288 |