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ajhamdi / MVTN

pytorch implementation of the ICCV'21 paper "MVTN: Multi-View Transformation Network for 3D Shape Recognition"
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Is the ModelNet40 dataset aligned? #10

Closed Kumoi0728 closed 2 years ago

Kumoi0728 commented 2 years ago

Thank you for your last reply, I'm sorry I have another question.

Because it is not stated in the paper, I think that the ModelNet40 dataset used is unaligned.

However, in the supplementary material, it states that when testing rotation robustness,

A common practice in the literature in 3D shape classification is to test the robustness of models trained on the aligned dataset by injecting perturbations during test time [ 20 ]. We follow the same setup as [ 20 ] by introducing random rotations during test time around the Y-axis (gravity-axis).

Does this mean that you are using an aligned ModelNet40 dataset only for testing rotation robustness? Or is the ModetNet40 you stated in README.md already an aligned dataset?

ajhamdi commented 2 years ago

@Kumoi0728 The standard one used is aligned, unless the flags --rotated_train or rotated_Test are used