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AI-generated video frame detection on GenVidBench frame-level samples

95.5CogVideo AccuracyDTS-Det
47.1459.69572.2584.805Jul 4, 2026

Evaluation results

MethodLinks
DTS-DetTraining Dataset=ConImageGen, Evaluation Level=Frame-level2026.0795.595.779.176.295.195.276.271.883.281.576.171.792.292.691.592.188.58992.192.59191.687.386.4
SigLIP2+DINOv3Training Dataset=ConImageGen, Evaluation Level=Frame-level2026.0783.581.858.536.68482.45321.666.352.850.513.980.577.985.584.57772.986.585.686.485.673.863.2
UnivFDTraining Dataset=ConImageGen, Evaluation Level=Frame-level2026.07818366.565.675.576.95242.169.46953446970.477.580.27375.276.579.16970.469.368.7
DINOv3-LoRATraining Dataset=ConImageGen, Evaluation Level=Frame-level2026.0776.580.961.575.557.58157.558.354.654.85657.37781.375.579.87579.376.280.376.881.367.673.6
F3NetTraining Dataset=ConImageGen, Evaluation Level=Frame-level2026.0757.557.75251.958.557.84947.448.447.653.552.75656.456.556.75454.956.255.653.853.554.153.8
AIDETraining Dataset=ConImageGen, Evaluation Level=Frame-level2026.0755.865.152.260.261.567.35361.747.955.658.267.558.573.758.463.75259.662.568.15458.855.863.6
ResNet50Training Dataset=ConImageGen, Evaluation Level=Frame-level2026.0753.552.358.558.761.561.75453.550.549.256.555.85858.462.563.75756.761.562.861.561.757.757.6
FreqNetTraining Dataset=ConImageGen, Evaluation Level=Frame-level2026.075354.35050.443.543.246.546.743.843.25153.349.549.25048.949.548.74746.55151.548.648.7
Noiseprint++Training Dataset=ConImageGen, Evaluation Level=Frame-level2026.075367.852.567.447.562.65165.951.165.95367.84965.55066.449.265.447.564.148.565.150.265.8
SigLIP2-LoRATraining Dataset=ConImageGen, Evaluation Level=Frame-level2026.0750.561.748.25944.55547.558.440.349.748.359.656.56550.55860.569.250.758.25666.750.360.1
NPRTraining Dataset=ConImageGen, Evaluation Level=Frame-level2026.0749.550.25859.958.56152.554.954.555.25255.666.568.261.563.25557.556.256.963.866.357.158.9
XceptionTraining Dataset=ConImageGen, Evaluation Level=Frame-level2026.074949.556.257.254.8555354.349.448.75859.961.562.85859.25759.156.556.363.565.456.157
C2P-CLIPTraining Dataset=ConImageGen, Evaluation Level=Frame-level2026.074959.84656.448.559.349.560.449.560.247.558.25263.140.549.85364.13846.547.257.647.357.7