DeepFlow: Two Convergent Differentiable Approaches for Pairwise Conditional Random Fields

John S. H. Baxter

Basic probabilistic models form the basis of modern deep learning largely by defining the final activation layer of a network and allowing the networks outputs to be interpreted th…