Deepfake Detection on DFD
0.9922AUCAUNet
Evaluation Results
| Method | Links | |
|---|---|---|
| AUNetVenue=CVPR23, Training set (Real)=true, Training set (Fake)=false2025.03 | 0.9922 | |
| AUNetInput=Video, Backbone=Xception+ART, Training Dataset=FF++2025.08 | 0.992 | |
| PCL + I2GInput Type=Frame, Training Set (Real)=true, Training Set (Fake)=true2022.04 | 0.9907 | |
| CADDMVenue=CVPR23, Training set (Real)=true, Training set (Fake)=false2025.03 | 0.9903 | |
| RAEInput=Frame, Backbone=ViT-B/16, Training Dataset=FF++2025.08 | 0.99 | |
| FakeSTormerProcessing level=Video-level2026.05 | 0.985 | |
| AltFreezingInput=Video, Backbone=3D ResNet-50, Training Dataset=FF++2025.08 | 0.985 | |
| LAA-Net (w/ SBI)Venue=CVPR24, Training set (Real)=true, Training set (Fake)=false2025.03 | 0.9843 | |
| LAA-NetInput=Frame, Backbone=EFNB4, Training Dataset=FF++2025.08 | 0.984 | |
| SpInShieldProcessing level=Video-level2026.05 | 0.981 | |
| M2F2-Det (w/ SBI)Training set (Real)=true, Training set (Fake)=false2025.03 | 0.977 | |
| EFNB4 + SBIsInput Type=Frame, Training Set (Real)=true, Training Set (Fake)=false2022.04 | 0.9756 | |
| SBIVenue=CVPR22, Training set (Real)=true, Training set (Fake)=false2025.03 | 0.9756 | |
| HAADTraining Dataset=FF++, Evaluation Protocol=Cross-dataset Evaluation2026.05 | 0.975 | |
| ForAdaTraining Dataset=FaceForensics++ (c23), Evaluation Protocol=Cross-dataset2026.04 | 0.972 | |
| SePLTraining Dataset=FaceForensics++ (c23), Evaluation Protocol=Cross-dataset2026.04 | 0.972 | |
| ForAdaInput=Frame, Backbone=CLIP ViT-L/14, Training Dataset=FF++2025.08 | 0.972 | |
| NACOProcessing level=Video-level2026.05 | 0.97 | |
| GenD (CLIP)Input=Frame, Backbone=CLIP ViT-L/14, Training Dataset=FF++2025.08 | 0.97 | |
| HybridTraining Dataset=FaceForensics++ (c23), Evaluation Protocol=Cross-dataset2026.04 | 0.967 | |
| GenD (DINO)Input=Frame, Backbone=DINOv3 ViT-L/16, Training Dataset=FF++2025.08 | 0.966 | |
| OursTraining Dataset=FF++ c23, Evaluation Protocol=Protocol-12024.08 | 0.965 | |
| EffortTraining Dataset=FaceForensics++ (c23), Evaluation Protocol=Cross-dataset2026.04 | 0.965 | |
| P&PInput=Video, Backbone=CLIP ViT-L/14, Training Dataset=FF++2025.08 | 0.965 | |
| EffortInput=Frame, Backbone=CLIP ViT-L/14, Training Dataset=FF++2025.08 | 0.965 | |
| GenD (PE)Input=Frame, Backbone=PEcoreL, Training Dataset=FF++2025.08 | 0.965 | |
| FACTOREvaluation Protocol=Ref. Set, Reference Set Source=50% subset of training videos2023.11 | 0.963 | |
| FakeRadarBackbone=Vision Transformer, Input Type=Video2025.12 | 0.962 | |
| StyleFlowBackbone=3D ResNet, Input Type=Video2025.12 | 0.961 | |
| SLFProcessing level=Video-level2026.05 | 0.961 | |
| StyleDFDInput=Video, Backbone=3D ResNet-50, Training Dataset=FF++2025.08 | 0.961 | |
| X^2-DFDTraining Dataset=FF++, Evaluation Protocol=Cross-dataset Evaluation, Re-implemented=true2026.05 | 0.959 | |
| Xcep-c23Evaluation Protocol=Open-set2022.03 | 0.956 | |
| LSDAVenues=CVPR 2024, Training Dataset=FF++ c23, Evaluation Protocol=Protocol-12024.08 | 0.956 | |
| LSDABackbone=EfficientNet, Input Type=Frame2025.12 | 0.956 | |
| UDDInput=Frame, Backbone=CLIP ViT-B/16, Training Dataset=FF++2025.08 | 0.955 | |
| Face X-ray + BIInput Type=Frame, Training Set (Real)=true, Training Set (Fake)=true, Setting=Variant 22022.04 | 0.954 | |
| Face X-RayBackbone=HRNet, Input Type=Frame2025.12 | 0.954 | |
| CDFATraining Dataset=FaceForensics++ (c23), Evaluation Protocol=Cross-dataset2026.04 | 0.954 | |
| CDFAProcessing level=Frame-level2026.05 | 0.954 | |
| CFMVenues=TIFS 2023, Training Dataset=FF++ c23, Evaluation Protocol=Protocol-12024.08 | 0.952 | |
| EffortTraining Dataset=FF++, Evaluation Protocol=Cross-dataset Evaluation, Re-implemented=true2026.05 | 0.951 | |
| UIA-ViTBackbone=Vision Transformer, Input Type=Frame2025.12 | 0.947 | |
| UCFVenue=ICCV23, Training set (Real)=true, Training set (Fake)=true2025.03 | 0.945 | |
| UCFBackbone=Xception, Input Type=Frame2025.12 | 0.945 | |
| FTCNInput Type=Video, Training Set (Real)=true, Training Set (Fake)=true, experiment_type=official code2022.04 | 0.944 | |
| Face X-rayEvaluation Protocol=Open-set2022.03 | 0.9414 | |
| VLFFDTraining Dataset=FF++, Evaluation Protocol=Cross-dataset Evaluation, Re-implemented=true2026.05 | 0.94 | |
| A1 multi-region: mouth + skinBackbone=DINOv3 ViT-L/16, Region=mouth + skin, Evaluation protocol=zero-shot2026.05 | 0.9391 | |
| IIDVenues=CVPR 2023, Training Dataset=FF++ c23, Evaluation Protocol=Protocol-12024.08 | 0.939 | |
| IIDTraining Dataset=FaceForensics++ (c23), Evaluation Protocol=Cross-dataset2026.04 | 0.939 | |
| IIDTraining Dataset=FF++, Evaluation Protocol=Cross-dataset Evaluation2026.05 | 0.939 | |
| IIDProcessing level=Frame-level2026.05 | 0.939 | |
| AltFreezingBackbone=3D ResNet, Input Type=Video2025.12 | 0.937 | |
| Face X-ray + BIInput Type=Frame, Training Set (Real)=true, Training Set (Fake)=true, Setting=Variant 12022.04 | 0.9347 | |
| ICT-RefEvaluation Protocol=Open-set2022.03 | 0.9317 | |
| Ours (Mouth)Backbone=Frozen2026.05 | 0.93 | |
| A1 single region: noseBackbone=DINOv3 ViT-L/16, Region=nose, Evaluation protocol=zero-shot2026.05 | 0.9299 | |
| A1 single region: mouthBackbone=DINOv3 ViT-L/16, Region=mouth, Evaluation protocol=zero-shot2026.05 | 0.9299 | |
| DCA EMNBackbone=DINOv3 ViT-L/16, Feature dimensionality=3,072 dims, Region=EMN, Evaluation protocol=zero-shot2026.05 | 0.9289 | |
| DFD-FCGProcessing level=Video-level2026.05 | 0.928 | |
| FIA-USATraining Dataset=FF++, Evaluation Protocol=Cross-dataset Evaluation, Re-implemented=true2026.05 | 0.926 | |
| DAIDTraining Dataset=FF++, Evaluation Protocol=Cross-dataset Evaluation, Re-implemented=true2026.05 | 0.925 | |
| DCLVenues=AAAI 2022, Training Dataset=FF++ c23, Evaluation Protocol=Protocol-12024.08 | 0.921 | |
| PTFDProcessing level=Video-level2026.05 | 0.92 | |
| FRDMInput Type=Frame, Training Set (Real)=true, Training Set (Fake)=true2022.04 | 0.919 | |
| DSP-FWAEvaluation Protocol=Open-set2022.03 | 0.9099 | |
| MSBA-CLIPTraining Dataset=FF++ (C23), Evaluation Level=Frame-level2026.02 | 0.9093 | |
| SLADDTraining Dataset=FaceForensics++ (c23), Evaluation Protocol=Cross-dataset2026.04 | 0.904 | |
| SLADDProcessing level=Frame-level2026.05 | 0.904 | |
| AltFreezingProcessing level=Video-level2026.05 | 0.902 | |
| SpInShieldAttack Type=Spectral Tilt2026.05 | 0.9018 | |
| ProDetTraining Dataset=FaceForensics++ (c23), Evaluation Protocol=Cross-dataset2026.04 | 0.901 | |
| ProDetProcessing level=Frame-level2026.05 | 0.901 | |
| SpInShieldAttack Type=SNR-based Noise2026.05 | 0.8948 | |
| HFRTraining Dataset=FF++ [7]2026.03 | 0.8941 | |
| Face2PartsBackbone=Fine-tuned2026.05 | 0.894 | |
| SRI-NetEvaluation Granularity=Frame-level2026.02 | 0.893 | |
| LRLInput Type=Frame, Training Set (Real)=true, Training Set (Fake)=true2022.04 | 0.8924 | |
| LocalRLVenue=AAAI21, Training set (Real)=true, Training set (Fake)=false2025.03 | 0.8924 | |
| TALLProcessing level=Video-level2026.05 | 0.892 | |
| RECCEVenues=CVPR 2022, Training Dataset=FF++ c23, Evaluation Protocol=Protocol-12024.08 | 0.891 | |
| RECCETraining Dataset=FaceForensics++ (c23), Evaluation Protocol=Cross-dataset2026.04 | 0.891 | |
| RECCETraining Dataset=FF++, Evaluation Protocol=Cross-dataset Evaluation2026.05 | 0.891 | |
| Xcep-c0Evaluation Protocol=Open-set2022.03 | 0.8905 | |
| A1 single region: eyesBackbone=DINOv3 ViT-L/16, Region=eyes, Evaluation protocol=zero-shot2026.05 | 0.887 | |
| Ours (Nose)Backbone=Frozen2026.05 | 0.887 | |
| SRMVenues=CVPR 2021, Training Dataset=FF++ c23, Evaluation Protocol=Protocol-12024.08 | 0.885 | |
| SRMTraining Dataset=FaceForensics++ (c23), Evaluation Protocol=Cross-dataset2026.04 | 0.885 | |
| SRMTraining Dataset=FF++, Evaluation Protocol=Cross-dataset Evaluation2026.05 | 0.885 | |
| COREVenues=CVPRW 2022, Training Dataset=FF++ c23, Evaluation Protocol=Protocol-12024.08 | 0.882 | |
| CORETraining Dataset=FaceForensics++ (c23), Evaluation Protocol=Cross-dataset2026.04 | 0.882 | |
| CORETraining Dataset=FF++, Evaluation Protocol=Cross-dataset Evaluation2026.05 | 0.882 | |
| DSMTraining Dataset=FF++ [7], Publication Year=20252026.03 | 0.8814 | |
| LSDATraining Dataset=FaceForensics++ (c23), Evaluation Protocol=Cross-dataset2026.04 | 0.881 | |
| LSDATraining Dataset=FF++, Evaluation Protocol=Cross-dataset Evaluation2026.05 | 0.881 | |
| LSDAProcessing level=Frame-level2026.05 | 0.881 | |
| LSDAVenue=CVPR’24, Evaluation Granularity=Frame-level2026.02 | 0.88 | |
| SFGDTraining Dataset=FF++ [7], Publication Year=20232026.03 | 0.88 | |
| LSDATraining Dataset=FF++ [7], Publication Year=20242026.03 | 0.88 |