Thanks for the work regarding deepfake detection. Unfortunately your pretrained model as well as our self trained models are not generalizing on new social media deepfakes, and are having increased number of False Positives and False Negatives. how can we further fine tune or top-up train, the existing best models on new viral deepfakes to improve detection rate. Also, when we are doing top-up training ourselves, the model weights are changing in such a way that for every video it starts predicting as Fake. How can we polish existing best models further ? Thanks
Thanks for the work regarding deepfake detection. Unfortunately your pretrained model as well as our self trained models are not generalizing on new social media deepfakes, and are having increased number of False Positives and False Negatives. how can we further fine tune or top-up train, the existing best models on new viral deepfakes to improve detection rate. Also, when we are doing top-up training ourselves, the model weights are changing in such a way that for every video it starts predicting as Fake. How can we polish existing best models further ? Thanks