Help me write the key headlines for method section for my paper based on my description of the method:

I am employing two masked autoencoders separately in parallel to perform an image reconstruction, one on RGB facial images and the other on Optical Flow fields generated from an off-the-shell optical flow network.

Once both the encoders in these masked autoencoders are done with the previous task of image reconstruction, we feed in deepfake data into them in a fusion framework wherein they are setup in parallel. one encoder takes in RGB frames of the deepfake data while the other encoder takes in the optical flow field generated from the above RGB frames of the deepfake data (using the same optical flow network). Both these encoded representations are passed to their individual classification heads to obtain classification outputs, but additionally, a third classification head is obtained by fusing the other two classification heads. This is the overall summary of my proposed approach.