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[CVPR 2021 - Official] Rigid Subset Mix (RSMix): Regularization Strategy for Point Cloud via Rigidly Mixed Samples

License: MIT License

Python 82.11% C++ 9.81% Shell 1.43% Cuda 6.66%
data-augmentation pointcloud deep-learning regularization modelnet40 shape-classification 3d 3dpointcloud

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rsmix's Issues

Reproduce Confusion

Hey, sorry to bother you. I rerun the code as your instruction in the README. For DGCNN on ModelNet40, the accuracy of RSMix is rather lower than the base version.
From
python main.py --exp_name=rsmix_dgcnn_1024 --model=dgcnn --num_points=1024 --k=20 --use_sgd=True --beta 1.0 --epochs 500
to
python main.py --exp_name=rsmix_dgcnn_1024 --model=dgcnn --num_points=1024 --k=20 --use_sgd=True --beta 0. --rsmix_prob 0. --epochs 500
Is there anything wrong? Thank for your reply.

What is The Meaning of "Raw" in The Table?

Hi,

Thanks for the great work! I have some inquires:

  1. As written in the title, what is the meaning of "Raw" in the Table 3 in the paper? Is it equal to "pre-aligned", "Unaligned", or something other? Could you confirm which dataset is specified as "Raw" in that table? Is it no (1), (2) or (3)? The downloaded link are provided in the numbers, and I also put screenshot for each number below.
  2. Or could you please provide the dataset links used in Table 3: (a) Pre-Aligned, (b) Unaligned and (c) Raw?

Many thanks :)

image
image

How do You Visualize the Point Cloud?

Hi!

Thanks for the great work. I wonder, how do you visualize the point cloud sample in the paper? It looks great and natural/ Do you use certain software? Thanks.

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