nii-yamagishilab
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mms-1b-anti-deepfake-nda

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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   | 0.987    | 0.997     | 0.977  | 0.987    | 0.003 | 0.023 | 0.88 @ 0.2488        |
 | FakeOrReal-norm     | 0.999   | 0.987    | 0.993     | 0.980  | 0.986    | 0.007 | 0.020 | 1.10 @ 0.3834        |
 | In-the-Wild         | 0.998   | 0.972    | 0.993     | 0.962  | 0.977    | 0.011 | 0.038 | 1.87 @ 0.2462        |
-| Deepfake-Eval-2024  | 0.836   | 0.733    | 0.724     | 0.923  | 0.812    | 0.581 | 0.077 | 24.60 @ 0.9970       |
 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   | 0.987    | 0.997     | 0.977  | 0.987    | 0.003 | 0.023 | 0.88 @ 0.2488        |
 | FakeOrReal-norm     | 0.999   | 0.987    | 0.993     | 0.980  | 0.986    | 0.007 | 0.020 | 1.10 @ 0.3834        |
 | In-the-Wild         | 0.998   | 0.972    | 0.993     | 0.962  | 0.977    | 0.011 | 0.038 | 1.87 @ 0.2462        |
+| Deepfake-Eval-2024  | 0.807   | 0.739    | 0.747     | 0.909  | 0.820    | 0.581 | 0.091 | 27.54 @ 0.9971       |
 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.