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홈뉴스연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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  1. 홈
  2. SOTA
  3. 딥페이크 감지
  4. Deepfake Detection On Fakeavceleb 1

Deepfake Detection On Fakeavceleb 1

평가 지표

AP
ROC AUC

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
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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