Face Forgery Detection on DiFF Face Editing representative subset (test)
99.95AccuracyRCDN
Evaluation results
| Method | Links | |
|---|---|---|
| RCDNEvaluation Mode=In-domain2026.01 | 99.95 | |
| RCDNEvaluation Mode=In-domain2026.04 | 99.95 | |
| EfficientNetEvaluation Mode=In-domain2026.01 | 99.8 | |
| EfficientNetEvaluation Mode=In-domain2026.04 | 99.8 | |
| ResNet+CBAMEvaluation Mode=In-domain2026.01 | 99.45 | |
| F3-NetEvaluation Mode=In-domain2026.01 | 99.4 | |
| LRD-NetEvaluation Mode=In-domain2026.04 | 99.4 | |
| XceptionEvaluation Mode=In-domain2026.01 | 98.95 | |
| XceptionEvaluation Mode=In-domain2026.04 | 98.95 | |
| ResNet-34Evaluation Mode=In-domain2026.01 | 98.9 | |
| ResNet-34Evaluation Mode=In-domain2026.04 | 98.9 | |
| DIREEvaluation Mode=In-domain2026.01 | 98.2 | |
| DIREEvaluation Mode=In-domain2026.04 | 98.2 | |
| LRD-NetTraining Subset=I2I2026.04 | 87.55 | |
| RCDNTraining Subset=I2I2026.04 | 86.6 | |
| DIRETraining Subset=I2I2026.04 | 85.6 | |
| EfficientNetTraining Subset=I2I2026.04 | 84.05 | |
| RCDNTraining Subset=T2I2026.04 | 83.85 | |
| LRD-NetTraining Subset=T2I2026.04 | 83.55 | |
| ResNet-34Training Subset=I2I2026.04 | 83.25 | |
| XcepKNNEvaluation Mode=In-domain2026.01 | 81.32 | |
| XcepKNNEvaluation Mode=In-domain2026.04 | 81.32 | |
| XceptionTraining Subset=I2I2026.04 | 80.24 | |
| DIRETraining Subset=T2I2026.04 | 79.85 | |
| XceptionTraining Subset=T2I2026.04 | 78.25 | |
| ResNet-34Training Subset=T2I2026.04 | 74.3 | |
| EfficientNetTraining Subset=T2I2026.04 | 73.95 | |
| XcepKNNTraining Subset=I2I2026.04 | 62.24 | |
| XcepKNNTraining Subset=T2I2026.04 | 56.25 |