Isn't that what the original resnet project disproved? Rather than trying to hand-manicure what the NN should look for, just make it deep enough and give it enough training data, and it'll figure things out on its own, even better than if we told it what to look out for.
Of course, cost-wise and training time wise, we're probably a long way off from being able to replicate that in a general purpose NN. But in theory, given enough money and time, presumably it's possible, and conceivably would produce better results.
