AI-generated Image Detection on FakeForm Janus-Pro
90.4AccuracyAIGI-Holmes
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| AIGI-HolmesBackbone=ViT, FPS=2.2, Params (M)=> 70002026.05 | 90.4 | 93 | |
| CoDABackbone=ResNet, FPS=125.2, FLOPs=2.37, Params (M)=1.482026.05 | 86.2 | 92.4 | |
| AIDEBackbone=ResNeXt, FPS=18.9, FLOPs=225.69, Params (M)=893.542026.05 | 84 | 92 | |
| SAFEBackbone=ResNet, FPS=180.4, FLOPs=2.29, Params (M)=1.442026.05 | 82.6 | 91.9 | |
| FreqNetBackbone=ResNet, FPS=157.2, FLOPs=1.97, Params (M)=1.852026.05 | 80.7 | 90.5 | |
| Humans2026.05 | 72.5 | 82.1 | |
| UFD2026.05 | 65.9 | 80.1 | |
| FatFormerBackbone=ViT, FPS=13.3, FLOPs=216.83, Params (M)=492.592026.05 | 64.1 | 92 | |
| CNNDetBackbone=Xception, FPS=26.2, FLOPs=16.57, Params (M)=23.512026.05 | 63.8 | 79 | |
| NPRBackbone=ResNet, FPS=200.6, FLOPs=1.75, Params (M)=1.442026.05 | 45.1 | 49.4 |