Questions about wavelet transform in feature space.

[wmbai]

Thank you for your great work! I am interested in the wavelet transform in Wave-ViT.

In my opinion, when the wavelet transform is applied directly to an image, we can obtain high and low frequency components. However, when we perform wavelet transform on high-dimensional features (which may mainly contain semantic features), do the output results still correspond to high-frequency components and low-frequency components?

Wondering how you understand the application of wavelet transform to feature space, or can you recommend some references on the use of wavelet transform in the feature space? I would be very grateful if you could help me solve the doubts. Thanks!