mvoelk/keras_layers

SparseConv2D Speed?

Opened this issue · 3 comments

Hey, thanks for the implementation - works well, also the example. My Question is, is there a speed gain vs the common Conv2d?

No, the aim is to apply convolution to incomplete input data.

So is it rather slower of faster than the normal Conv2 operation in processing?
It was not clear in those 2 papers you mentioned, maybe you had more insight coding it?

There are other approaches that aim that. In the literature, the term "sparse convolution" is used in different ways, which may be confusing. I have no experience with these approaches, sorry...