why dont use all the data from FaceForensics ? about detection-of-face-manipulated-videos HOT 4 CLOSED

Hi,
Definitely we can use all the videos. However, as we can see the results in related paper (FaceForensics++ paper) we can get good enough accuracy with 100 uncompressed videos alone.

If you are targetting on Low-Quality videos, of-course 100 videos are not sufficient to train the model

To answer your question,
using uncompressed videos the model is not learning much after the corpus size=100. Please look at the blow plot (on X-axis it is corpus size, y-axis it is Accuray)

Note: This screenshot is taken from the original paper

Thank you

from detection-of-face-manipulated-videos.

I am glad to receive your reply. I have another question that how to split the train_set and test_set;
In my opinion it is not proper to split manipulated seq just at random; It may cause that for example My face in train_set labeled "real" but in test_set labeled "fake"
can you help me with it ?

from detection-of-face-manipulated-videos.

Yeah, I got your point, please note that the objective of this project itself is to Detect the manipulated faces.

Let's stick to your example, as you said if manipulated face video there in test split and authenticated video in train split with the same face, the MODEL should able to RECOGNIZE this.

Even though sometimes both versions of faces look like to be the same for a human eye, but the model should learn to recognize based on low-level artifacts (such as the corrupted nose, eyes, lips, etc).

Hence I believe data split should be random to support our objective.

If you feel I misunderstood your question, please post your query again with little more explanation.

Thank you

from detection-of-face-manipulated-videos.

how do you detect the face on frame； I use a lib from web, found lots of faces cant be detect!

from detection-of-face-manipulated-videos.