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I follow the settings in 4.1. Implementation Details and try to train a detector on FF+ raw with only real faces and self-blend fake faces. However when testing on FF+ raw it can only perform good on Deepfakes(138/140 correct), the results on NeuralTextures(≈50% acc), Face2Face(≈60% acc) and Faceswape(≈60% acc). I also tried the released pretrain weights to test on FF++ raw and everything goes well with the data in paper. Such problem makes me really confused, have anyone meet similar issue?
The text was updated successfully, but these errors were encountered:
The same goes for me. The model trained on raw only had an accuracy of 82% when tested on the CDF data set, but I didn't change anything except the data set path. Did you reproduce it later?
The same goes for me. The model trained on raw only had an accuracy of 82% when tested on the CDF data set, but I didn't change anything except the data set path. Did you reproduce it later?
Hey I also have the same problem. How did you manage to solve it? Would you help me, please?
I follow the settings in 4.1. Implementation Details and try to train a detector on FF+ raw with only real faces and self-blend fake faces. However when testing on FF+ raw it can only perform good on Deepfakes(138/140 correct), the results on NeuralTextures(≈50% acc), Face2Face(≈60% acc) and Faceswape(≈60% acc). I also tried the released pretrain weights to test on FF++ raw and everything goes well with the data in paper. Such problem makes me really confused, have anyone meet similar issue?
The text was updated successfully, but these errors were encountered: