I agree that there's probably a good question about to what extent looking at benchmark sets is biasing our judgment.
But it's also unclear to me how to get a decision tree to perform as well on image recognition tasks the same way that a CNN does. (Of course, as you mention, the CNN will likely face adversarial examples.)
But it's also unclear to me how to get a decision tree to perform as well on image recognition tasks the same way that a CNN does. (Of course, as you mention, the CNN will likely face adversarial examples.)