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The paper mentions that after the sampling and grouping layers, the results are passed to PointNet layers. The PointNet Encoder includes a T-Net, but I do not see this in the model architecture source code for PointNet++. Why?
The text was updated successfully, but these errors were encountered:
In my experience related to the issue "rotation invariant", doing data augmentation "ratation input data" or add T-Net is not efficient. Which means, I guess, the efforts for resolving "rotation invariant" by T-Net is failed.
The paper mentions that after the sampling and grouping layers, the results are passed to PointNet layers. The PointNet Encoder includes a T-Net, but I do not see this in the model architecture source code for PointNet++. Why?
The text was updated successfully, but these errors were encountered: