“Universal adversarial perturbations” seems most dramatic ML result in years; if so, not getting deserved attention https://arxiv.org/pdf/1610.08401v1.pdf …
Convolutions are obviously going to be good at picking up textures (if you have enough of them). Hard problem in vision always was…
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3D shapes, when projected in 2D image, are entirely different depending on rotation. Worse when object is flexible or articulated.
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I would guess DL systems can address shape problem only by brute force, i.e recognizing each pose separately, from examples of that pose.
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