There are a number of obvious tricks that humans can use and simple NN classifiers can't. For example, humans have access to facts, which allow for better use

There are a number of obvious tricks that humans can use and simple NN classifiers can't. For example, humans have access to facts, which allow for better use of context information. E.g. I know that pandas live in trees, and that the queen wears a crown. It does appear that humans do better with limited training data. I have probably seen fewer pandas than the NN in the article, but I can identify them more reliably. It probably comes down to humans' superior ability to generalize training examples.