Basic concepts about "SkeletonConv" and "SkeletonUnpool".

[ANYMS-A]

Hi, after reading the implementation code of the skeleton.py. I got some questions which I'd like to disccuss with you.

1.Could I regard the "SkeletonConv" as a binary mask which created based on the neighboring list of each joint. If joint A is the neighbor of joint B, when convolve joint B, the binary mask on joint A is 1 else the mask is set to 0.

2.Does the "SkeletonUnpool" just duplicate the features of the pooled joint to increase the nodes of the skeleton graph?

Many thanks!

[PeizhuoLi]

1. You are right. It is mathematically equivalent to use multiple conv1d modules and a single conv1d with mask. The latter one is far more efficient in our experiments.

2. Yes. It works like some "duplicate unpooling layer".

Hope it helps.

[ANYMS-A]

1. You are right. It is mathematically equivalent to use multiple conv1d modules and a single conv1d with mask. The latter one is far more efficient in our experiments.
2. Yes. It works like some "duplicate unpooling layer".

Hope it helps.

Thanks for the replying!