nii-yamagishilab
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mms-300m-anti-deepfake

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nii-yamagishilab commited on Oct 21, 2025

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@@ -194,7 +194,7 @@ Results shown below can be reproduced using scripts provided in our [GitHub repo
 | FakeOrReal         | 0.999   | 0.980    | 0.962     | 0.999  | 0.980    | 0.038 | 0.001 | 1.40 @ 0.8584        |
 | FakeOrReal-norm        | 0.982   | 0.858    | 0.775     | 1.000  | 0.873    | 0.278 | 0.000 | 5.92 @ 0.9861        |
 | In-the-Wild                | 0.996   | 0.973    | 0.979     | 0.978  | 0.979    | 0.036 | 0.022 | 2.90 @ 0.6236        |
-| Deepfake-Eval-2024  | 0.789   | 0.726    | 0.724     | 0.904  | 0.804    | 0.570 | 0.096 | 27.72 @ 0.9919       |
 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.

 | FakeOrReal         | 0.999   | 0.980    | 0.962     | 0.999  | 0.980    | 0.038 | 0.001 | 1.40 @ 0.8584        |
 | FakeOrReal-norm        | 0.982   | 0.858    | 0.775     | 1.000  | 0.873    | 0.278 | 0.000 | 5.92 @ 0.9861        |
 | In-the-Wild                | 0.996   | 0.973    | 0.979     | 0.978  | 0.979    | 0.036 | 0.022 | 2.90 @ 0.6236        |
+| Deepfake-Eval-2024  | 0.742   | 0.726    | 0.741     | 0.893  | 0.810    | 0.590 | 0.107 | 32.84 @ 0.9938       |
 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.