It might have to do with the output possibly being a probability vector as opposed to a binary hash. The whole thing is thus differentiable and optimizable (if a dog image was incorrectly placed in the bad hash bucket it might only be on the border of it while the real CP corresponding to the hash is found at the probabilistic maxima of the hash bucket). Just guessing.