Similarly, for a given layer of a CNN with dimension q, we can create a matrix of embeddings for the same k concepts (R k×q ), and compute a correlation matrix in image space: I ∈ R k×k .
we have taken embedding spaces for the same set of k concepts and created new spaces of dimension k based on the correlation between concepts.