Image Deepfake Detection on FFIW
0.965AUCBlenD
Evaluation Results
| Method | Links | |
|---|---|---|
| BlenDTraining Data=25k ScaleDF (real) + SBI fakes, Evaluation Protocol=Video-level2026.05 | 0.965 | |
| GenD (DINO)Input=Frame, Backbone=DINOv3 ViT-L/16, Training Dataset=FF++2025.08 | 0.945 | |
| GenD (PE)Input=Frame, Backbone=PEcoreL, Training Dataset=FF++2025.08 | 0.933 | |
| GenD-PETraining Data=FF++, Evaluation Protocol=Video-level2026.05 | 0.933 | |
| HAADTraining Dataset=FF++, Evaluation Protocol=Cross-dataset Evaluation2026.05 | 0.932 | |
| GenD (CLIP)Input=Frame, Backbone=CLIP ViT-L/14, Training Dataset=FF++2025.08 | 0.928 | |
| EffortTraining Data=FF++, Evaluation Protocol=Video-level2026.05 | 0.925 | |
| OursTraining Dataset=FF++ c23, Evaluation Protocol=Protocol-12024.08 | 0.921 | |
| P&PInput=Video, Backbone=CLIP ViT-L/14, Training Dataset=FF++2025.08 | 0.921 | |
| EffortInput=Frame, Backbone=CLIP ViT-L/14, Training Dataset=FF++2025.08 | 0.921 | |
| X^2-DFDTraining Dataset=FF++, Evaluation Protocol=Cross-dataset Evaluation, Re-implemented=true2026.05 | 0.915 | |
| ForAdaTraining Data=FF++, Evaluation Protocol=Video-level2026.05 | 0.906 | |
| FS-VFMTraining Data=FF++, Evaluation Protocol=Video-level2026.05 | 0.906 | |
| EffortTraining Dataset=FF++, Evaluation Protocol=Cross-dataset Evaluation, Re-implemented=true2026.05 | 0.901 | |
| VLFFDTraining Dataset=FF++, Evaluation Protocol=Cross-dataset Evaluation, Re-implemented=true2026.05 | 0.898 | |
| M2F2-Det (w/ SBI)Training set (Real)=true, Training set (Fake)=false2025.03 | 0.887 | |
| DAIDTraining Dataset=FF++, Evaluation Protocol=Cross-dataset Evaluation, Re-implemented=true2026.05 | 0.883 | |
| SBITraining Data=FF++ with pseudo-fakes, Evaluation Protocol=Video-level2026.05 | 0.881 | |
| LSDAVenues=CVPR 2024, Training Dataset=FF++ c23, Evaluation Protocol=Protocol-12024.08 | 0.879 | |
| FIA-USATraining Dataset=FF++, Evaluation Protocol=Cross-dataset Evaluation, Re-implemented=true2026.05 | 0.878 | |
| SBIVenues=CVPR 2022, Training Dataset=FF++ c23, Evaluation Protocol=Protocol-12024.08 | 0.866 | |
| SBITraining Dataset=FF++, Evaluation Protocol=Cross-dataset Evaluation2026.05 | 0.866 | |
| DCLVenues=AAAI 2022, Training Dataset=FF++ c23, Evaluation Protocol=Protocol-12024.08 | 0.863 | |
| FreqBlenderVenue=NeurIPS24, Training set (Real)=true, Training set (Fake)=false2025.03 | 0.8614 | |
| SBIVenue=CVPR22, Training set (Real)=true, Training set (Fake)=false2025.03 | 0.8483 | |
| SBIInput=Frame, Backbone=EFNB4, Training Dataset=FF++2025.08 | 0.848 | |
| CFMVenues=TIFS 2023, Training Dataset=FF++ c23, Evaluation Protocol=Protocol-12024.08 | 0.831 | |
| FSBITraining Data=FF++ with pseudo-fakes, Evaluation Protocol=Video-level2026.05 | 0.824 | |
| AUNetInput=Video, Backbone=Xception+ART, Training Dataset=FF++2025.08 | 0.815 | |
| AUNetVenue=CVPR23, Training set (Real)=true, Training set (Fake)=false2025.03 | 0.8145 | |
| SPSLVenues=CVPR 2021, Training Dataset=FF++ c23, Evaluation Protocol=Protocol-12024.08 | 0.794 | |
| SRMVenues=CVPR 2021, Training Dataset=FF++ c23, Evaluation Protocol=Protocol-12024.08 | 0.794 | |
| SPSLTraining Dataset=FF++, Evaluation Protocol=Cross-dataset Evaluation2026.05 | 0.794 | |
| SRMTraining Dataset=FF++, Evaluation Protocol=Cross-dataset Evaluation2026.05 | 0.794 | |
| FSFMTraining Data=FF++, Evaluation Protocol=Video-level2026.05 | 0.782 | |
| IIDTraining Dataset=FF++, Evaluation Protocol=Cross-dataset Evaluation2026.05 | 0.762 | |
| FTCNInput=Video, Backbone=3D ResNet-50, Training Dataset=FF++2025.08 | 0.745 | |
| LSDATraining Dataset=FF++, Evaluation Protocol=Cross-dataset Evaluation2026.05 | 0.724 | |
| LSDAInput=Frame, Backbone=EFNB4, Training Dataset=FF++2025.08 | 0.724 | |
| RECCEVenues=CVPR 2022, Training Dataset=FF++ c23, Evaluation Protocol=Protocol-12024.08 | 0.711 | |
| RECCETraining Dataset=FF++, Evaluation Protocol=Cross-dataset Evaluation2026.05 | 0.711 | |
| COREVenues=CVPRW 2022, Training Dataset=FF++ c23, Evaluation Protocol=Protocol-12024.08 | 0.71 | |
| CORETraining Dataset=FF++, Evaluation Protocol=Cross-dataset Evaluation2026.05 | 0.71 | |
| UCFVenues=ICCV 2023, Training Dataset=FF++ c23, Evaluation Protocol=Protocol-12024.08 | 0.697 | |
| UCFTraining Dataset=FF++, Evaluation Protocol=Cross-dataset Evaluation2026.05 | 0.697 | |
| F3NetVenues=ECCV 2020, Training Dataset=FF++ c23, Evaluation Protocol=Protocol-12024.08 | 0.649 | |
| F3NetTraining Dataset=FF++, Evaluation Protocol=Cross-dataset Evaluation2026.05 | 0.649 |