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Hi,
Great implementation of VectorNet. I have one doubt about the subgraph part. The subgraph is stacked in a row to encoding the features. Then why there is a hidden unit coded in this part. From the perspective of the paper, should't the dimensions keeps the same? What is the benefits?
The text was updated successfully, but these errors were encountered:
In the implementaion of subgraph, I see the "in_channels" variable is set as two times of hidden_unit, and at end step, you have one more linear layer added which is not mentioned in the paper. I just wanna know what is the idea behind such design.
Hi,
Great implementation of VectorNet. I have one doubt about the subgraph part. The subgraph is stacked in a row to encoding the features. Then why there is a hidden unit coded in this part. From the perspective of the paper, should't the dimensions keeps the same? What is the benefits?
The text was updated successfully, but these errors were encountered: