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Oh for sure! Not everybody needs to be trying to max out the standard benchmarks with every paper. But have there been any new developments or improvements with
by heyitsguay 8y ago
Oh for sure! Not everybody needs to be trying to max out the standard benchmarks with every paper. But have there been any new developments or improvements with capsule nets since the original paper? This blog post looks like it only references that first one, which is coming up on two years old, right? It'd be great to read about any followup.
- stochastic_monk 8y agoGraph Capsule Convolutional Networks [0] claim to have beaten the state of the art in graph neural networks. However, I can’t find information on training time, which I think is significantly more expensive for capsule networks. [0] https://arxiv.org/abs/1805.08090 https://arxiv.org/abs/1805.08090