These models typically perform either "early" (input data are concatenated and pushed through a common model) or "late" (outputs of the last layer are combined together through linear or non-linear weighting) fusion.
our model does not fall into any of these categories directly as it is "iterative" in the sense that there are multiple fusions per decision, with an evolving belief state -the memory.