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AI-generated image detection on GenImage (test)

97.16Mean AccuracyPE-Core-ViT-G
-0.766424.656850.0875.5032Apr 29, 2026May 5, 2026May 11, 2026May 17, 2026May 23, 2026May 29, 2026Jun 5, 2026

Evaluation results

MethodLinks
PE-Core-ViT-GBackbone=ViT-G, TAP=false, Training Data=SD v1.4 + ImageNet2026.0497.1694.9299.9299.8587.4897.3499.8499.2798.68————
FGINet2026.0496.792.899.699.289.59899.999.395.9————
PE-Core-ViT-G + TAPBackbone=ViT-G, TAP=true, Training Data=SD v1.4 + ImageNet2026.0495.6782.1199.9699.987.2398.0999.9399.1998.94————
SAFE2026.0495.595.299.499.382.296.298.196.297.7————
OMATTraining Data=SD v1.4 + ImageNet2026.0494.6390.3697.5297.4683.8297.4197.6295.5397.34————
MRCL2026.0494.287.299.699.679.892.299.696.598.7————
MiraGe2026.0492.683.298.898.582.791.397.692.496.5————
ForensicConceptVenues=–2026.06929599.699.469.285.199.694.394.1————
EffortVenues=ICML 20252026.0691.182.499.899.878.793.397.491.777.6————
PE-Core-ViT-LBackbone=ViT-L, TAP=false, Training Data=SD v1.4 + ImageNet2026.0489.6482.4299.7299.5365.9784.6999.0592.9792.74————
DRCT2026.0489.591.59594.479.489.294.79081.7————
DRCTVenues=ICML 20242026.0689.591.59594.479.489.294.79081.7————
Fatformer2026.0488.992.710099.975.98899.998.855.8————
FatFormerVenues=CVPR 20242026.0688.992.710099.975.98899.998.855.8————
NPRVenues=CVPR 20242026.0688.68198.297.976.989.896.984.184.2————
AIDE2026.0487.281.499.899.878.591.898.980.266.8————
AIDEVenues=ICLR 20252026.0686.979.499.799.878.591.898.780.366.9————
AIDETraining Data=SD v1.4 + ImageNet2026.0486.8879.3899.7499.7678.5491.8298.6580.2666.89————
FreqNetVenues=AAAI 20242026.0686.889.698.898.666.886.597.375.881.4————
PE-Core-ViT-L + TAPBackbone=ViT-L, TAP=true, Training Data=SD v1.4 + ImageNet2026.0486.4177.8699.9899.959.5382.5799.5194.1677.77————
VIB2026.0484.888.399.599.374.373.498.789.455.6————
PatchCraftTraining Data=SD v1.4 + ImageNet2026.0482.37989.589.377.378.489.383.772.4————
GenDetTraining Data=SD v1.4 + ImageNet2026.0481.5689.696.196.15878.492.866.575————
UnivFDVenues=CVPR 20232026.0679.591.596.496.158.173.494.567.857.7————
DINOv3-PCA-TabPFNSetting=Pooled low-data, k=252026.0578————————————
NPR2026.0477.277.878.678.969.778.476.178.180.1————
NPRTraining Data=SD v1.4 + ImageNet2026.0475.686299.7599.6456.7982.6997.8954.4352.26————
Swin-TVenues=ICCV 20212026.0674.862.199.999.849.867.699.162.357.6————
Swin-TBackbone=Swin-T, Training Data=SD v1.4 + ImageNet2026.0474.7862.199.999.849.867.699.162.357.6————
UniFDTraining Data=SD v1.4 + ImageNet2026.0473.2973.284.28455.276.975.656.980.3————
SPSLTraining Data=SD v1.4 + ImageNet2026.0473.2356.299.599.55167.798.449.863.7————
ResNet-50Venues=CVPR 20162026.0672.154.999.999.753.561.998.256.652————
ResNet-50Backbone=ResNet-50, Training Data=SD v1.4 + ImageNet2026.0472.0954.999.999.753.561.998.256.652————
DeiT-SVenues=ICML 20212026.0671.655.699.999.849.858.198.956.953.5————
DeiT-SBackbone=DeiT-S, Training Data=SD v1.4 + ImageNet2026.0471.5655.699.999.849.858.198.956.953.5————
DIRE2026.0471.250.410099.952.562.756.552.459.5————
DIRETraining Data=SD v1.4 + ImageNet2026.0470.6660.299.999.850.95599.250.150.2————
UniFD2026.0470.656.965.164.769.260.173.58689.3————
XceptionBackbone=Xception, Training Data=SD v1.4 + ImageNet2026.0469.9457.9798.0697.9851.1657.5197.7950.3448.74————
GramNetVenues=CVPR 20202026.0669.954.299.299.150.354.698.950.851.7————
GramNetTraining Data=SD v1.4 + ImageNet2026.0469.8554.299.299.150.354.698.950.851.7————
SRMTraining Data=SD v1.4 + ImageNet2026.0469.6354.199.899.849.952.899.65051————
SpecVenues=WIFS 20192026.0668.85299.499.249.749.894.855.649.8————
SpecTraining Data=SD v1.4 + ImageNet2026.0468.795299.499.249.749.894.855.649.8————
F3NetVenues=ECCV 20202026.0668.750.199.999.949.95099.949.949.9————
F3NetTraining Data=SD v1.4 + ImageNet2026.0468.6950.199.999.949.95099.949.949.9————
CNNSpotTraining Data=SD v1.4 + ImageNet2026.0464.2152.896.395.950.139.878.653.446.8————
CNNSpotVenues=CVPR 20202026.0664.252.896.395.950.139.878.653.446.8————
DINOv3-PCA-TabPFNSetting=Pairwise transfer, k=6252026.0531.5————————————
DINOv3-PCA-TabPFNSetting=Pooled low-data, k=smaller shared training sizes2026.058.2————————————
LATTESetting=Pooled high-data, k=6252026.053————————————
AIDEThreshold calibration=GenImage, Operating point=Fixed2026.04—————————84.270.12——
AIDETraining Domain=Community2026.05———————————99.4396.82
CLIPDetectionTraining Domain=Community2026.05———————————98.4293.91
CNNDetectionTraining Domain=Community2026.05———————————71.631.71
DIRETraining Domain=Community2026.05———————————97.3883.67
FiSeR (Ours)Training Domain=Community, Decision Boundary=k-NN2026.05———————————98.6995.95
FreqNetTraining Domain=Community2026.05———————————89.5353.76
Gram-NetTraining Domain=Community2026.05———————————98.2989.4
HiMixThreshold calibration=GenImage, Operating point=Fixed2026.04—————————94.760.05——
LASTEDTraining Domain=Community2026.05———————————96.4684.71
LGradTraining Domain=Community2026.05———————————99.397.54
NPRTraining Domain=Community2026.05———————————25.912.27
Patch ShufflingThreshold calibration=GenImage, Operating point=Fixed2026.04—————————85.690.15——
Real-Real MixupThreshold calibration=GenImage, Operating point=Fixed2026.04—————————79.560.09——
ResNet-50Training Domain=Community2026.05———————————98.8693.46
SAFEThreshold calibration=GenImage, Operating point=Fixed2026.04—————————93.10.07——
SAFETraining Domain=Community2026.05———————————95.4784.21
UniFDTraining Domain=Community2026.05———————————83.6542.86