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FaceForensics++

Benchmarks

Task NameDataset NameSOTA ResultTrend
Deepfake DetectionFaceForensics++ c23 (train)
FF c23 Score98.68
31
Deepfake DetectionFaceForensics++ (FF++) HQ (test)
AUC99.96
26
Face Forgery DetectionFaceForensics++ NT (test)
AUC98.99
25
Face Forgery DetectionFaceForensics++ F2F (test)
AUC1
25
Deepfake DetectionFaceForensics++ (test)
AUC99.87
21
Face Forgery DetectionFaceForensics++ (DeepFakes)
AUC100
21
Video-level Deepfake DetectionFaceForensics++ (FF++) (test)
AUC99.96
20
Face Forgery DetectionFaceForensics++ FS (test)
AUC0.999
20
Deepfake DetectionFaceForensics++ LQ
AUC0.958
17
Deepfake DetectionFaceForensics++
Mean Accuracy0.986
14
Multi-source Forgery DetectionFaceForensics++ (FF++) Face2Face (F2F) Low-quality c40
Accuracy71.25
12
Multi-source Forgery DetectionFaceForensics++ Face2Face (F2F) High-quality c23
Accuracy70.17
12
Multi-source Forgery DetectionFaceForensics++ Deepfake (DF) Low-quality c40
Accuracy77.33
12
Deepfake DetectionFaceForensics++ (FF++) (intra-dataset)
AUC99.8
11
Deepfake DetectionFaceForensics++ NT c23
AUROC0.9958
9
Deepfake DetectionFaceForensics++ c23 FS
AUROC100
9
Deepfake DetectionFaceForensics++ DF c23
AUROC100
9
Drag-style image editingFaceForensics++ (test)
FID48.04
9
Face Forgery DetectionFaceForensics++ heavy compression c40
Accuracy89
9
Forgery DetectionFaceForensics++ Average HQ (test)
AUC (Video-level)97.1
8
Forgery DetectionFaceForensics++ NeuralTextures HQ (test)
AUC (Video-level)99.3
8
Forgery DetectionFaceForensics++ Face2Face HQ (test)
Video-level AUC99.7
8
Forgery DetectionFaceForensics++ FaceSwap HQ (test)
AUC (Video-level)93.2
8
Deepfake DetectionFaceForensics++ raw, c23, c40 (test)
ACC87.8
8
Deepfake DetectionFaceForensics++ c40 (test)
Accuracy96.1
8
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