dogyoonlee / rsmix Goto Github PK
View Code? Open in Web Editor NEW[CVPR 2021 - Official] Rigid Subset Mix (RSMix): Regularization Strategy for Point Cloud via Rigidly Mixed Samples
License: MIT License
[CVPR 2021 - Official] Rigid Subset Mix (RSMix): Regularization Strategy for Point Cloud via Rigidly Mixed Samples
License: MIT License
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.
Dear Authors,
Thank you so much for this nice repo. We recently proposed a new corruption robustness benchmark called ModelNet40-C and test RSMix on several corruptions from our dataset. We find that RSMix is robust to "density" corruptions.
Github repo: https://github.com/jiachens/ModelNet40-C
Paper link: https://arxiv.org/abs/2201.12296
I wonder if you can mention our benchmark and dataset in your repo to highlight the results. Thank you!
Hi,
Thanks for the great work! I have some inquires:
Many thanks :)
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.
If all points are selected as in equation 7, why there are part point selected in figure 4?
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