AI-generated image detection on FakeForm Tile Carving
84.3AccuracyFatFormer
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| FatFormerBackbone=ViT2026.05 | 84.3 | 94 | |
| Humans2026.05 | 82.4 | 90.3 | |
| AIGI-HolmesBackbone=ViT2026.05 | 82.4 | 90.3 | |
| UFD2026.05 | 74.3 | 93.1 | |
| FreqNetBackbone=ResNet2026.05 | 74.2 | 86.3 | |
| CoDABackbone=ResNet2026.05 | 71.3 | 88.3 | |
| NPRBackbone=ResNet2026.05 | 60.4 | 85.2 | |
| AIDEBackbone=ResNeXt2026.05 | 58.3 | 85.5 | |
| SAFEBackbone=ResNet2026.05 | 54.4 | 63.7 | |
| CNNDetBackbone=Xception2026.05 | 53.2 | 62.1 |