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Deepfake Detection On Fakeavceleb 1

Metrics

AP
ROC AUC

Results

Performance results of various models on this benchmark

Model Name
AP
ROC AUC
Paper TitleRepository
AVAD94.294.5Self-Supervised Video Forensics by Audio-Visual Anomaly Detection
FTCN92.393.1Exploring Temporal Coherence for More General Video Face Forgery Detection
FACTOR96.897.4Detecting Deepfakes Without Seeing Any
AV-Lip-Sync+--AV-Lip-Sync+: Leveraging AV-HuBERT to Exploit Multimodal Inconsistency for Video Deepfake Detection-
Multimodal Ensemble Model--Lip Sync Matters: A Novel Multimodal Forgery Detector
RealForensics95.397.1Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection
VQGAN55.051.8Taming Transformers for High-Resolution Image Synthesis
AVBYOL73.959.2Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection
Avtenet--AVTENet: Audio-Visual Transformer-based Ensemble Network Exploiting Multiple Experts for Video Deepfake Detection-
Xception84.885.3FaceForensics++: Learning to Detect Manipulated Facial Images
LipForensics89.491.1Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection
AV-Lip-Sync Model--Lip Sync Matters: A Novel Multimodal Forgery Detector
AD DFD88.888.1Joint Audio-Visual Deepfake Detection-
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