polimi-ispl / icpr2020dfdc

Video Face Manipulation Detection Through Ensemble of CNNs
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use pre-trained model to detect my videos, but filter out some specific datasets on the pre-train which may overlap #71

Closed hcuve closed 1 year ago

hcuve commented 1 year ago

Thanks for such a valuable resource. I have used the face the deepfake dataset from Google which is included in faceforensics, some behavioural experiments, and would like to get detection scores for the specific videos I tested, using one of your pre-trained models but would need to ensure that the specific videos I have are not part of the ore-trained model. Is there a way to filter out specific datasets or sets of videos when using your pre-trained weights

nicobonne commented 1 year ago

You can't exclude samples from pretrained weights because there is no direct mapping between data and weights. What you can do is replicate our split for a given dataset and manually check that your videos do not fall under our training set.

hcuve commented 1 year ago

thank you, appreciate the response. I will close the issue now