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FF++

Benchmarks

Task NameDataset NameSOTA ResultTrend
Deepfake DetectionFF++ (test)
AUC99.96
44
Deepfake DetectionFF++ video-level 8 (test)
Accuracy98.01
40
Deepfake DetectionFF++
AUC99.9
34
Deepfake DetectionFF++ HQ (test)
AUC (Avg)0.9949
33
Face Manipulation DetectionFF++ High Quality (test)
AUC (DF)100
28
Face Forgery DetectionFF++ (HQ)
AUC DF100
27
Deepfake DetectionFF++ Intra-dataset c23
AUC100
24
Deepfake AttackFF++ spatial-based (test)
ResNet Accuracy98.2
24
Adversarial Attack on Deepfake DetectorsFF++ (test)
ASR (DCTA)87.5
18
Deepfake DetectionFF++ HQ
AUC0.9931
17
Facial manipulation detectionFF++
AUC0.9444
16
Face DetectionFF++ O
F1-score100
15
Deepfake DetectionFF++
Gender FFPR0.53
15
Deepfake DetectionFF++ Intra-dataset (c40)
Accuracy100
15
Deepfake DetectionFF++ LQ
Accuracy95.01
14
Deepfake InterruptionFF++ O
L2mask0.09
12
Frame-level Face Forgery DetectionFF++ HQ
AUC99.46
12
Deepfake DetectionFF++ cross-domain
Gender FFPR1.01
10
DeepFake DetectionFF++ Average across scenarios
Accuracy95.7
10
DeepFake DetectionFF++ Adversarial Attack
Accuracy91
10
DeepFake DetectionFF++ Partial Noisy
Accuracy100
10
DeepFake DetectionFF++ Partial Blurring
Accuracy96
10
DeepFake DetectionFF++ Sunglass Masking
Accuracy96
10
Face SwappingFF++
ID Similarity0.636
10
Face Forgery ClassificationFF++ (test)
AUC99.9
9
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