Researchers at the University of Louisville have found that machine vision systems cannot process optical illusions in the same way humans can.
The researchers compiled a database of more than 6,000 images of optical illusions and trained a neural network to recognize them, then built a generative adversarial network to create optical illusions for itself. After seven hours of training, however, they found nothing of value was created.
The researchers believe generative adversarial networks are unlikely to be able to learn to trick human vision without being able to understand the principles behind such illusions, the result of crucial differences between machine vision systems and the human visual system.
From Technology Review
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