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View Code? Open in Web Editor NEW[AAAI 2023] Rethinking Rotation Invariance with Point Cloud Registration (official pytorch implementation) https://rotation3d.github.io/
[AAAI 2023] Rethinking Rotation Invariance with Point Cloud Registration (official pytorch implementation) https://rotation3d.github.io/
@Crane-YU Recently, I have run the ModelNet40 Classification under rotations experiments following your code. However, the result is much lower than that described in the paper and readme. For z/so(3), the best performance I got is 87.1%.
In the training process, i used the dataset 'modelnet40_normal_resampled' following https://github.com/yanx27/Pointnet_Pointnet2_pytorch.git. and the same data augmentation like you. At this point, I wonder whether there are some precautions when experimenting and what possible reasons are. Can you provide some suggestions? thank you.
An error that " No such file or directory: 'data/ModelNet40_normal_1024_train_points.npy' " happen, how can I get datas?
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