Are ConvNets better than humans on ImageNet? "Humans"on this plot = one human, who describes his experience here: http://karpathy.github.io/2014/09/02/what-i-learned-from-competing-against-a-convnet-on-imagenet/ …pic.twitter.com/iwz3OeV72e
Neurodiverse trans geek girl. Yosys, RISC-V, SAT/SMT.
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Are ConvNets better than humans on ImageNet? "Humans"on this plot = one human, who describes his experience here: http://karpathy.github.io/2014/09/02/what-i-learned-from-competing-against-a-convnet-on-imagenet/ …pic.twitter.com/iwz3OeV72e
Or maybe we just haven't found a method yet for making adversarial examples for human vision. It's kinda hard to access those derivatives..
No. Evolution has had plenty of time to work on it. https://en.wikipedia.org/wiki/Crypsis pic.twitter.com/AJmNK0HMMa
Camouflage != Adversarial Examples. AEs usually target one specific NN and don't work with other NNs. Proof: I still classify rhs as Panda.pic.twitter.com/QnPe5iysYJ
Again incorrect. There's plenty that's been done on black box adv attacks which succeed with high probability across nets. Such as in:
You do know what the word "usually" means? You should probably look it up before you use strong language like "Again incorrect.". *plonk*
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