Face Forgery Detection on DiFF Cross Avg
93.63AccuracyLRD-Net
Evaluation results
| Method | Links | |
|---|---|---|
| LRD-NetTraining Subset=I2I2026.04 | 93.63 | |
| RCDNTraining Subset=I2I2026.04 | 92.35 | |
| LRD-NetTraining Subset=T2I2026.04 | 90.52 | |
| EfficientNetTraining Subset=I2I2026.04 | 90.4 | |
| LRD-NetTraining Subset=FE2026.04 | 90.12 | |
| ResNet-34Training Subset=I2I2026.04 | 89.75 | |
| RCDNTraining Subset=T2I2026.04 | 89.72 | |
| DIRETraining Subset=I2I2026.04 | 89.2 | |
| RCDNTraining Subset=FE2026.04 | 89.15 | |
| EfficientNetTraining Subset=FE2026.04 | 88.92 | |
| XceptionTraining Subset=FE2026.04 | 87.63 | |
| XceptionTraining Subset=I2I2026.04 | 87.47 | |
| DIRETraining Subset=FE2026.04 | 86.98 | |
| XceptionTraining Subset=T2I2026.04 | 86.1 | |
| DIRETraining Subset=T2I2026.04 | 85.95 | |
| ResNet-34Training Subset=T2I2026.04 | 83.87 | |
| ResNet-34Training Subset=FE2026.04 | 83.27 | |
| EfficientNetTraining Subset=T2I2026.04 | 83.1 | |
| XcepKNNTraining Subset=I2I2026.04 | 68.17 | |
| XcepKNNTraining Subset=T2I2026.04 | 66.32 | |
| XcepKNNTraining Subset=FE2026.04 | 63.22 |