Deeper or Wider Networks of Point Clouds with Self-attention?

Understand

Prevalence of deeper networks driven by self-attention is in stark contrast to underexplored point-based methods.

• In this paper, we propose groupwise self-attention as the basic block to construct our network: SepNet.
• Our proposed module can effectively capture both local and global dependencies.
• This module computes the features of a group based on the summation of the weighted features of any point within the group.