@Swift2046 How would you go about normalising features for ConvNets?
AFAIK, it is similar to RGB normalisation, where a value represents a coordinate in the matrix?
I’m still trying with AlexNet and managed to get 66% top-1 for Valence (-1 to 1) score and I guess I can make it go a bit higher with more data and/or better networks.
Since AffectNet already has the face features included in the CSV data I’m very inclined to test it.