Update README.md

README.md

@@ -193,11 +193,11 @@ Results shown below can be reproduced using scripts provided in our [GitHub repo
 | Test Database        | ROC AUC | Accuracy | Precision | Recall | F1-score | FPR   | FNR   | EER (%) @ Threshold |
 |----------------------|---------|----------|-----------|--------|----------|-------|-------|----------------------|
 | ADD2023              | 0.950   | 0.912    | 0.939     | 0.942  | 0.940    | 0.175 | 0.058 | 13.25 @ 0.8520       |
-| DeepVoice            | 0.991   | 0.762    | 0.340     | 0.994  | 0.507    | 0.270 | 0.006 | 4.53 @ 0.9974        |
-| FakeOrReal           | 1.000   | 0.992    | 0.994     | 0.989  | 0.991    | 0.005 | 0.011 | 0.63 @ 0.3727        |
-| FakeOrReal-norm      | 0.999   | 0.986    | 0.975     | 0.997  | 0.986    | 0.025 | 0.003 | 0.97 @ 0.7975        |
-| In-the-Wild          | 0.997   | 0.976    | 0.991     | 0.970  | 0.980    | 0.015 | 0.030 | 1.91 @ 0.3240        |
-| Deepfake-Eval-2024   | 0.797   | 0.743    | 0.734     | 0.920  | 0.816    | 0.545 | 0.083 | 28.73 @ 0.9972       |
+| DeepVoice            | 0.991   | 0.762    | 0.340     | 0.994  | 0.507    | 0.270 | 0.006 | 4.44 @ 0.9974        |
+| FakeOrReal           | 1.000   | 0.992    | 0.994     | 0.989  | 0.991    | 0.005 | 0.011 | 0.67 @ 0.3611        |
+| FakeOrReal-norm      | 0.999   | 0.986    | 0.975     | 0.997  | 0.986    | 0.025 | 0.003 | 0.97 @ 0.8058        |
+| In-the-Wild          | 0.997   | 0.976    | 0.991     | 0.970  | 0.980    | 0.015 | 0.030 | 1.91 @ 0.3301        |
+| Deepfake-Eval-2024   | 0.791   | 0.712    | 0.708     | 0.932  | 0.804    | 0.636 | 0.068 | 28.75 @ 0.9994       |
 
 You can also fine-tune this model on a specific database, the corresponding code is provided in our [GitHub repository](https://github.com/nii-yamagishilab/AntiDeepfake). Fine-tuning will follow a similar process to training a new model, except that model weights will be initialized as AntiDeepfake checkpoints.