List your company

AI-Generated Image Detection on DRCT-2M v1.4 (test)

99.97LDM Detection RateConv-B
-3.998822.993149.98576.9769Apr 2, 2025May 9, 2025Jun 15, 2025Jul 22, 2025Aug 28, 2025Oct 4, 2025Nov 11, 2025

Evaluation results

MethodLinks
Conv-B2025.0499.9710099.9795.8464.448280.8260.7599.2762.3399.883.473.2861.6551.7950.4179.11—
CNNSpotBackbone=ResNet-502025.0499.8799.9199.997.5566.2586.5586.1572.4298.2661.7297.9685.8982.8460.9351.4150.2881.12—
F3Net2025.0499.8599.7899.7988.6655.8587.3768.2963.6697.3954.9897.9872.3981.9965.4250.3950.2777.13—
Ours/CLIPBackbone=CLIP2025.0499.799.799.6999.6799.7199.499.4899.499.6299.799.6899.6499.5199.6199.6797.899.5—
Ours/DINOv2Backbone=DINOv22025.0499.5599.5599.5599.5499.5594.799.5399.2399.3199.5599.5499.5599.3999.4899.5597.4299.06—
GramNet2025.0499.499.0198.8495.362.6380.6871.1969.3293.0557.0289.9775.5582.6851.2350.0150.0876.62—
CLIP/RN50Backbone=ResNet-502025.049999.9999.9694.6162.0891.4383.5764.498.9757.4399.7480.6982.0365.8350.6750.4780.05—
UnivFD2025.0498.396.2296.3393.8391.0193.9186.3885.9290.4488.9990.4181.0689.0651.9651.0350.4683.46—
DRCT2025.0494.4594.3594.2495.0595.6195.3894.8194.4891.6695.5493.8693.4893.5484.3483.267.6191.35—
De-fake2025.0492.199.5399.5189.6564.0269.249293.9399.1370.8958.9862.3466.6650.1250.165075.52—
OmniAID-MirageTraining Dataset=Mirage-Train2025.1116.540.880.924.5813.743.1233.154.582.060.569.452.7629.380.020.14—13.951.48
De-fakeTraining Dataset=SD v1.42025.1115.460.60.6420.3671.6261.1815.6611.81.457.8881.774.9866.3499.4299.34—48.6399.66
DIRETraining Dataset=SD v1.42025.113.560.060.0263.6292.2656.0882.291.240.3880.480.6471.5481.6895.9699.86—57.47100
UnivFDTraining Dataset=SD v1.42025.112.546.76.4811.4817.1211.3226.3827.318.2621.1618.3237.0221.0295.2497.08—32.2398.22
GramNetTraining Dataset=SD v1.42025.110.51.281.628.774.0437.9456.9260.6613.285.2619.3648.233.9496.8499.28—46.0699.14
CNNSpotTraining Dataset=SD v1.42025.110.160.080.14.867.426.827.655.063.3876.463.9828.1234.2278.0497.08—37.6699.34
F3NetTraining Dataset=SD v1.42025.110.120.260.2422.588.1225.0863.2472.55.0489.863.8655.0435.8468.9899.04—45.5699.28
Conv-BTraining Dataset=SD v1.42025.110.0600.068.3271.123638.3678.51.4675.340.433.253.4476.796.42—41.7999.18
CLIP/RN50Training Dataset=SD v1.42025.11000.0610.7675.8217.1232.8471.182.0485.120.538.635.9268.3298.64—39.7599.04
DRCTTraining Dataset=SD v1.42025.1100.020.027.1832.0828.5616.0659.740.542.30.020.9837.40.029.02—17.6849.04