How is the Global Feature concatenated with Point Feature in segmentation?

Question

How is the Global Feature concatenated with Point Feature in segmentation?

YifanDengWHU opened this issue 3 years ago · 3 comments

Hi, thanks for your great work!
However, I have a problem with the concatenation in segmentation. As shown in Fig. 2, the global feature is obtained by repeating its previous vector. It should be (batch_size, 1024, point_num), point_num may be 1024 in the modelnet. While the point feature should be (batch_sie, 1024, sampled_point_num). For example, the sample_point_num is 256 according to the implementation at https://github.com/Strawberry-Eat-Mango/PCT_Pytorch.
So how can these two features be concatenated? Or do we just segment those sampled points?

Answer 1 · 2021-07-21T08:13:23.000Z

Hi,
in segmentation, we do not use downsample strategy , the point_num is always 2048.

Answer 2 · 2021-07-21T08:16:22.000Z

Got it, thanks!

Answer 3 · 2021-09-16T13:08:46.000Z

Hi，How do you implement segmentation code?