An ideal match? Investigating how well-suited Concurrent ML is to implementing Belief Propagation for Stereo Matching
<div>Belief Propagation, introduced by Judea Pearl, is a family of algorithms for computing marginal probabilities over Bayesian Networks and Markov Random Fields, and is explicitly based around concepts of message passing. In the context of Computer Vision, so-called Loopy Belief Propagation...
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2022
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