Can modern computer vision see 1 image of ex. a cat and then if shown 10 dummy
images - one of which does have an unseen cat - recognize which image has a cat
- which is the cat is saw before but blurred, brighter, noisy, rotated,
stretched, flipped, inverted brightness? This requires great accuracy at
recognizing something it knows but that is very distorted.
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Artificial General Intelligence List: AGI
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