Deepfake Detection on DFDCP
0.9315AUCPMM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PMMDetector Type=Binary detector2026.05 | 0.9315 | — | |
| UCLVLMTraining Dataset=FaceForensics++ [48], Evaluation Protocol=cross-dataset2026.05 | 0.9181 | — | |
| UCLVLMDetector Type=Language detector2026.05 | 0.9181 | — | |
| EffortDetector Type=Binary detector2026.05 | 0.909 | — | |
| OursTraining Dataset=FaceForensics++ [48], Evaluation Protocol=cross-dataset2026.05 | 0.9029 | — | |
| OursDetector Type=Language detector2026.05 | 0.9029 | — | |
| FakeSTormerDetector Type=Binary detector2026.05 | 0.9 | — | |
| FakeRadarBackbone=Vision Transformer, Input Type=Video2025.12 | 0.885 | — | |
| M2F2Training Dataset=FaceForensics++ [48], Evaluation Protocol=cross-dataset2026.05 | 0.878 | — | |
| M2F2Detector Type=Language detector2026.05 | 0.878 | — | |
| LAADetector Type=Binary detector2026.05 | 0.8694 | — | |
| SeeABLEBackbone=EfficientNet, Input Type=Frame2025.12 | 0.863 | — | |
| SeeABLEDetector Type=Binary detector2026.05 | 0.863 | — | |
| SBIDetector Type=Binary detector2026.05 | 0.8615 | — | |
| VL-FFDTraining Dataset=FaceForensics++ [48], Evaluation Protocol=cross-dataset2026.05 | 0.8474 | — | |
| VL-FFDDetector Type=Language detector2026.05 | 0.8474 | — | |
| Controllable GSDetector Type=Binary detector2026.05 | 0.8165 | — | |
| LSDADetector Type=Binary detector2026.05 | 0.815 | — | |
| LSDABackbone=EfficientNet, Input Type=Frame2025.12 | 0.812 | — | |
| FaceXRay+BIDetector Type=Binary detector2026.05 | 0.8092 | — | |
| SLADDBackbone=Xception, Input Type=Frame2025.12 | 0.76 | — | |
| UCFTraining Dataset=FF++ (C23), Evaluation Level=Frame-level2026.02 | 0.7594 | — | |
| UCFDetector Type=Binary detector2026.05 | 0.7594 | — | |
| UIA-ViTBackbone=Vision Transformer, Input Type=Frame2025.12 | 0.758 | — | |
| UIA-ViTDetector Type=Binary detector2026.05 | 0.758 | — | |
| MSBA-CLIPTraining Dataset=FF++ (C23), Evaluation Level=Frame-level2026.02 | 0.7556 | — | |
| PCL+I2GBackbone=Resnet, Input Type=Frame2025.12 | 0.744 | — | |
| SPSLTraining Dataset=FF++ (C23), Evaluation Level=Frame-level2026.02 | 0.7408 | — | |
| SRMTraining Dataset=FF++ (C23), Evaluation Level=Frame-level2026.02 | 0.7408 | — | |
| SPSLDetector Type=Binary detector2026.05 | 0.7408 | — | |
| XceptionTraining Dataset=FF++ (C23), Evaluation Level=Frame-level2026.02 | 0.7374 | — | |
| F3NetTraining Dataset=FF++ (C23), Evaluation Level=Frame-level2026.02 | 0.7354 | — | |
| CORETraining Dataset=FF++ (C23), Evaluation Level=Frame-level2026.02 | 0.7341 | — | |
| EfficientNet-B4Detector Type=Binary detector2026.05 | 0.7283 | — | |
| XceptionDetector Type=Binary detector2026.05 | 0.699 | — | |
| AltfreezingPristine only=false2025.12 | — | 0.7091 | |
| CDFAPristine only=false2025.12 | — | 0.881 | |
| CLIP2026.04 | — | 0.679 | |
| DeepShieldPristine only=true2025.12 | — | 0.932 | |
| Efficientnet-B42026.04 | — | 0.675 | |
| EffortPristine only=false, Model selection protocol (test-time data)=true2025.12 | — | 0.909 | |
| Effort2026.04 | — | 0.816 | |
| F3NetPristine only=false2025.12 | — | 0.749 | |
| F3Net2026.04 | — | 0.735 | |
| FakeRadarPristine only=false2025.12 | — | 0.885 | |
| FakeSTormerPristine only=true2025.12 | — | 0.902 | |
| FCGPristine only=false2025.12 | — | 0.8659 | |
| FFD2026.04 | — | 0.741 | |
| Forensics Adapter2026.04 | — | 0.929 | |
| FSFMPristine only=false2025.12 | — | 0.8971 | |
| KiMoIPristine only=true2025.12 | — | 0.9389 | |
| LSDAPristine only=false, Model selection protocol (test-time data)=true2025.12 | — | 0.812 | |
| RECCEPristine only=false2025.12 | — | 0.734 | |
| RECCE2026.04 | — | 0.715 | |
| SBI (c23)Pristine only=true2025.12 | — | 0.8551 | |
| SeeABLEPristine only=true2025.12 | — | 0.863 | |
| SFAPristine only=false2025.12 | — | 0.8058 | |
| SFAM2026.04 | — | 0.9 | |
| SLADDPristine only=false2025.12 | — | 0.756 | |
| SPSLPristine only=false2025.12 | — | 0.77 | |
| SRMPristine only=false2025.12 | — | 0.728 | |
| UCFPristine only=false2025.12 | — | 0.77 | |
| UCF2026.04 | — | 0.706 | |
| VBPristine only=true, Model selection protocol (test-time data)=true2025.12 | — | 0.909 | |
| Xception2026.04 | — | 0.761 |