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This also relates to vision models. The existence of adversarial attacks (e.g. imperceptable changes in the image drastically changing the output) essentially d
by constantcrying 3y ago
This also relates to vision models. The existence of adversarial attacks (e.g. imperceptable changes in the image drastically changing the output) essentially demonstrate that the model has not reached the point at which the network "understands" the generalized concept it wants to disinguish.
- zone411 3y agoThe same argument could apply to humans. For example https://en.wikipedia.org/wiki/Change_blindness https://en.wikipedia.org/wiki/Change_blindness.
- constantcrying 3y agoNot really an example, there are many ways human vision is flawed and can be tricked, but none are on the level of these adversarial examples. There imperceptible differences between an image lead to a category error. Human perception can be ambigous, but minimal changes never cause drastic category errors.
- cubefox 3y agoThat's something else. The OP was talking about small changes in pictures causing a very different classification.