New research from MIT suggests that a certain type of computer vision model, trained to be robust to imperceptible noise added to image data, encodes visual representations similar to how humans do with peripheral vision. Photo credit: Jose-Luis Olivares, MIT Researchers are finding similarities between the way some computer vision systems process images and the way people see out of the corner of their eyes. Maybe computer vision and human vision have…
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