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Thanks for your work. I read carefully about your source code and have some questions.
neighborhood_consensus_loss: Why you use the relative coordinates of src_keypoints_knn and tgt_keypoints_knn to calculate the neighborhood_consensus_loss? This is different from the formulation in the paper.
feature extractor: why the knn method does not exclude the center point? I think the exact number of neighbour is k-1.
the input feature of DGCNN: Why the input feature is x-x_knn, rather than cat[x, x-x_knn]? This is different from the original DGCNN setting.
I think the three questions have some relations, but I can't figure out it. I try to chang the knn method, but I find the network can't converge. For example, I exclude the center point in knn method, and I try to use cat[x, x-x_knn] as the input of DGCNN.
The text was updated successfully, but these errors were encountered:
Thanks for your work. I read carefully about your source code and have some questions.
The text was updated successfully, but these errors were encountered: