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Nothing about capsules?
by deepsun 9y ago
Nothing about capsules?
- Smerity 9y agoCapsule networks[1] have literally not been used on anything larger than what is considered a toy dataset for computer vision yet. Whilst there is potential there I'd argue it's too early to ascribe extreme levels of excitement towards it. [1]: https://arxiv.org/abs/1710.09829 https://arxiv.org/abs/1710.09829
- alexbeloi 9y agoIt's new and interesting, but hasn't outperformed any existing methods yet. High representation efficiency though.
- eref 9y ago> High representation efficiency Capsules do require much fewer parameters, they generalize 10-20% better to new viewpoints, they are much more robust to adversarial examples and can better recognize overlapping objects; but, on the other hand, capsules currently require much more training data to achieve the same performance, even though in theory (if they would actually learn inverse graphics) they should require less data, and they add a lot of expensive additional structure (roughly 10X). I am rather pessimistic about whether the approach will lead us anywhere; it seems sub-optimal to model all possible child-parent configurations explicitly. That has a quadratic nature to it and my hunch is that can be done sub-linearily.
- deleted 9y ago[deleted]