beuve / DmyT

Dummy Triplet Loss for Deepfake Detection
3 stars 2 forks source link

training data #1

Closed ss880426 closed 4 days ago

ss880426 commented 2 years ago

Have you ever tried to use all deepfake methods of ff++ for training? thanks

beuve commented 2 years ago

Do you mean all methods at once?

ss880426 commented 2 years ago

yes

ss880426 commented 2 years ago

Excuse me How do you calculate your auc? thanks

beuve commented 2 years ago

Regarding training on all methods at once, we will soon publish a preprint targeting detection of all deepfake at once with the FF++ dataset (This paper will be announced on this repo).

for the AUC, we used the (roc_auc_score)[https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html] function from Sklearn:

roc_auc_score(labels, predict, average='macro'))
ss880426 commented 2 years ago

Thank you!!