Forgery Detection on DiFF I2I (test)
99.7AccuracyRCDN
Evaluation results
| Method | Links | |
|---|---|---|
| RCDNTraining Subset=T2I2026.01 | 99.7 | |
| LRD-NetTraining Subset=T2I2026.04 | 97.5 | |
| EfficientNetTraining Subset=T2I2026.01 | 96.35 | |
| ResNet-34Training Subset=T2I2026.01 | 96.2 | |
| XceptionTraining Subset=T2I2026.01 | 95.9 | |
| RCDNTraining Subset=T2I2026.04 | 95.6 | |
| F3-NetTraining Subset=T2I2026.01 | 95.5 | |
| ResNet+CBAMTraining Subset=T2I2026.01 | 95 | |
| DIRETraining Subset=T2I2026.01 | 94.6 | |
| XceptionTraining Subset=T2I2026.04 | 93.95 | |
| ResNet-34Training Subset=T2I2026.04 | 93.45 | |
| EfficientNetTraining Subset=T2I2026.04 | 92.25 | |
| DIRETraining Subset=T2I2026.04 | 92.05 | |
| ResNet+CBAMTraining Subset=FE2026.01 | 90.95 | |
| RCDNTraining Subset=FE2026.01 | 90.05 | |
| EfficientNetTraining Subset=FE2026.01 | 89.6 | |
| XceptionTraining Subset=FE2026.01 | 89.5 | |
| F3-NetTraining Subset=FE2026.01 | 89.3 | |
| DIRETraining Subset=FE2026.01 | 89.3 | |
| LRD-NetTraining Subset=FE2026.04 | 88.05 | |
| RCDNTraining Subset=FE2026.04 | 87.05 | |
| ResNet-34Training Subset=FE2026.01 | 86.95 | |
| DIRETraining Subset=FE2026.04 | 86.95 | |
| XceptionTraining Subset=FE2026.04 | 86.75 | |
| EfficientNetTraining Subset=FE2026.04 | 86.6 | |
| ResNet-34Training Subset=FE2026.04 | 81.95 | |
| XcepKNNTraining Subset=T2I2026.01 | 76.38 | |
| XcepKNNTraining Subset=T2I2026.04 | 76.38 | |
| XcepKNNTraining Subset=FE2026.01 | 64.8 | |
| XcepKNNTraining Subset=FE2026.04 | 64.8 |