3 ms·

How is black truck stuck in your lane an edge case? Seems more like negligence.

• davesque 5y ago
  I think you're completely misunderstanding my comment. I was saying that the fact that the model missed the truck can be described as an edge case. It's an edge case in the sense that it could end up being a strange and rare outcome that results from an unfortunate compounding of error at the intersection of a few parameter in the model. Deep learning models (which are undoubtedly involved) are problematic in this way. Of course I agree that this sort of driving condition is not an edge case and should be in the training set. But that doesn't mean that anything like it will always be correctly categorized by the model. We've seen that it's possible to trick some computer vision models with well-placed, single pixels. If anything, I'm saying that we shouldn't be entrusting our roads to deep learning models over a certain level of complexity.