2000-2003, both are pre-historic. We have neural networks now to do things like upscaling and colorization.
vincenthwt 48 minutes ago [-]
Yes, those methods are old, but they’re explainable and much easier to debug or improve compared to the black-box nature of neural networks. They’re still useful in many cases.
earthnail 43 minutes ago [-]
Only partially. The chapters on edge detection, for example, only have historic value at this point. A tiny NN can learn edges much better (which was the claim to fame of AlexNet, basically).
4gotunameagain 32 minutes ago [-]
Classical CV algorithms are always preferred over NNs in every safety critical application.
Except Self driving cars, and we all see how that's going.
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Except Self driving cars, and we all see how that's going.