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It looks very adhoc So ideally the ml network would solve the problem end to end but these authors seem to be using a network for only one step of their otherw
by frozenport 2y ago
It looks very adhoc
So ideally the ml network would solve the problem end to end but these authors seem to be using a network for only one step of their otherwise classic image processing pipeline
- bravura 2y agoWhat a smear. A lot of applied work in vision and audio glues together different existing modules, instead of training the whole thing end-to-end. In an ideal world, things are ideal. But the world isn't a grad student's wet dream. But there are not as many influential papers in the world as there are people who respond: "Why didn't they train the whole thing end-to-end?"
- stavros 2y ago"Ideally they'd solve the whole problem, but it looks like they just solved one part of the problem"