notesum.ai
Published at November 29Forensics Adapter: Adapting CLIP for Generalizable Face Forgery Detection
cs.CV
cs.CR
cs.LG
Released Date: November 29, 2024
Authors: Xinjie Cui1, Yuezun Li1, Ao Luo2, Jiaran Zhou1, Junyu Dong1
Aff.: 1School of Computer Science and Technology, Ocean University of China; 2Southwest Jiaotong University

| Method | Venue | CDF-v1 | CDF-v2 | DFDC | DFDCP | DFD | Avg. |
|---|---|---|---|---|---|---|---|
| Xception [54] | ICCV’19 | 0.779 | 0.737 | 0.708 | 0.737 | 0.816 | 0.755 |
| EfficientB4 [58] | ICML’19 | 0.791 | 0.749 | 0.696 | 0.728 | 0.815 | 0.756 |
| F3Net [51] | AAAI’20 | 0.777 | 0.735 | 0.702 | 0.735 | 0.798 | 0.749 |
| X-ray [35] | CVPR’20 | 0.709 | 0.679 | 0.633 | 0.694 | 0.766 | 0.696 |
| FFD [11] | CVPR’20 | 0.784 | 0.744 | 0.703 | 0.743 | 0.802 | 0.755 |
| SPSL [41] | CVPR’21 | 0.815 | 0.765 | 0.704 | 0.741 | 0.812 | 0.767 |
| SRM [45] | CVPR’21 | 0.793 | 0.755 | 0.700 | 0.741 | 0.812 | 0.760 |
| Recce [6] | CVPR’22 | 0.768 | 0.732 | 0.713 | 0.734 | 0.812 | 0.752 |
| SBI [55] | CVPR’22 | - | 0.813 | - | 0.799 | 0.774 | - |
| UCF [66] | ICCV’23 | 0.779 | 0.753 | 0.719 | 0.759 | 0.807 | 0.763 |
| ED [2] | AAAI’24 | 0.818 | 0.864 | 0.721 | 0.851 | - | - |
| LSDA [68] | CVPR’24 | 0.867 | 0.830 | 0.736 | 0.815 | 0.880 | 0.826 |
| CFM [44] | TIFS’24 | - | 0.828 | - | 0.758 | 0.915 | - |
| Ours | - | 0.914 | 0.900 | 0.843 | 0.890 | 0.933 | 0.896 |