How DeepMind Tries to Recreate Relational Reasoning in Deep Neural Networks

Detecting relationships between objects remains a tremendous challenge in modern computer vision.

As humans, we infer relationships between objects from space and time signals all the time. However, very little is known about the cognitive mechanisms that explain those inferences. A relation can have a cardinality order associated to it. For instance, if we think “Joe is taller than Peter” that’s a relationship of cardinality 2. But if we say “Joe swapped his bicycle from Peter’s scooter” that’s a relationship of cardinality 4. Over the years, cognitive psychologists have developed different theories of relational reasoning. One of my favorites theries, explains…

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