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Thanks for your work!
In Section 5.1, you said Since the domain-agnostic metric space is constant, it will be much easier for the downstream segmentation modules to make predictions in such a stable space.
I wonder why it is useful to select such a stable space?
I noticed that TAFT module uses the same idea. However, TAFT also does not explain why it works.
The text was updated successfully, but these errors were encountered:
We observe that the dataset (both training and test sets) for CD-FSS task is a bit confusing, can you provide a well-organized training and test set directly used for the CDFSS task? Thank you.
Thanks for your work!
In Section 5.1, you said Since the domain-agnostic metric space is constant, it will be much easier for the downstream segmentation modules to make predictions in such a stable space.
I wonder why it is useful to select such a stable space?
I noticed that TAFT module uses the same idea. However, TAFT also does not explain why it works.
The text was updated successfully, but these errors were encountered: