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Poverty Train and Val transforms
The WILDS paper claims to normalize and augment samples from the Poverty dataset in training. But this official repo and this non-official one do not apply any transformation. What is recommended?
Thanks
At least as of v1.2.2, we do the augmentation: https://github.com/p-lambda/wilds/blob/6d96cff360018bdb7c0863ba3976f7fa646aaaab/examples/transforms.py#L99
And the normalization occurs during preprocessing: https://github.com/p-lambda/wilds/blob/472677590de351857197a9bf24958838c39c272b/dataset_preprocessing/poverty/convert_poverty_to_npy.py#L35
However I'm not sure about how the v2 codepath works. @teetone @kohpangwei