I’m looking for actual research. I’m wrapping up some work on a stripped-down version of the lenet architecture and extemely low resolution non-representational data (3x3 greyscale pixels). The results appear to be better than chance and I’m quite frankly stunned - I expected complete garbage. Maybe I’ve missed something, but if the results are simply due to chance, I had an utterly extraordinary case of bad luck. (edit:clarity)
I've already built a working model (at least it appears that way). I'm looking for any research involving non-representational, low resolution imagery (3x3) - I haven't seen anything that rules out working with this kind of data at this scale. But maybe it's a fool's errand. I don't know. It would be nice to find literature that catalogs what has/hasn't been done in this space, or better, what works and what doesn't.
