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AI-generated image detection on AIGCDetectionBenchmark (test)

100ProGAN Detection AccuracyCNNSpot
50.8663.617576.37589.1325Apr 2, 2025

Evaluation results

MethodLinks
CNNSpotTraining Dataset=ProGAN2025.0410090.1771.1787.6294.681.4286.9191.6560.3958.0751.3950.5750.5356.4651.0350.4570.78
FusingTraining Dataset=ProGAN2025.0410085.277.487977783.366.84957.252.25151.455.151.752.868.38
PatchCraftTraining Dataset=ProGAN2025.0410092.7795.870.1799.9771.5889.5585.882.1783.7990.1295.3895.388.9191.0796.689.31
AIDETraining Dataset=ProGAN2025.0499.9999.6483.9598.4899.9173.259894.293.4395.0977.293.0192.8595.1693.5596.692.77
LGradTraining Dataset=ProGAN2025.0499.8391.0885.6286.9499.2778.4685.3255.767.1566.1165.3563.0263.6772.9959.5565.4575.34
UnivFDTraining Dataset=ProGAN2025.0499.8184.9395.0898.3395.7599.4774.9686.966.8762.4656.1363.6663.4985.3170.9350.7578.43
NPRTraining Dataset=ProGAN2025.0499.7997.784.3596.199.3582.598.3865.869.6978.3677.8578.6378.8978.1376.1164.982.91
LNPTraining Dataset=ProGAN2025.0499.6791.7577.7584.199.9275.3994.6470.8584.7380.5265.5585.5585.6774.4682.0688.7583.84
FreDectTraining Dataset=ProGAN2025.0499.3678.0281.9778.7794.6280.5766.1950.7563.4254.1345.8738.7939.2177.840.334.764.03
Ours/DINOv2Training Dataset=GenImage SDv1.4 subset, Backbone=DINOv22025.0496.9494.2794.7389.4489.9993.9989.449591.0297.848599.4399.0399.1799.2696.0594.41
DIRE-GTraining Dataset=ProGAN2025.0495.1983.0370.1274.1995.4767.7975.3158.0575.7871.7558.0149.7449.8353.6854.4666.4868.68
Ours/CLIPTraining Dataset=GenImage SDv1.4 subset, Backbone=CLIP2025.0489.1289.9483.5797.1697.1275.2989.1795.294.6796.0594.7898.4998.1998.5398.6197.993.36
DIRE-DTraining Dataset=ProGAN2025.0452.7551.3149.749.5846.7251.2351.7253.398.2592.4289.4591.2491.6391.990.992.4571.53