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It is received wisdom that biological visual systems easily outmatch current artificial systems at complex visual tasks like object recognition. But have the appropriate comparisons been made? Because artificial systems are improving every day, they may surpass human performance some day. We must understand our progress toward reaching that day, because that success is one of several necessary requirements for "understanding" visual object recognition. How large (or small) is the difference in performance between current state-of-the-art object recognition systems and the primate visual system?

Human versus machine: comparing visual object recognition systems on a level playing field.