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It's not that clear why they are downsampling and then upsampling again. Why not do all the work at the original resolution? Apparently, the issue is that some
by skybrian 3y ago
It's not that clear why they are downsampling and then upsampling again. Why not do all the work at the original resolution?
Apparently, the issue is that some vision algorithms only output a low-res representation and that needs to be upsampled to match the original?
- famouswaffles 3y ago>It's not that clear why they are downsampling and then upsampling again. Why not do all the work at the original resolution? For NNs, This is pretty much a compute efficiency thing. Working on the original resolution directly is more compute intensive.
- refulgentis 3y agoCorrect, s/some/vast majority of. Ex. major video conference software ML blur algos run at like 100x100 - the weird edge is much more about resolution of input/output than ML.