Skip to content
New issue

Have a question about this project? # for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “#”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? # to your account

Question about the 1-D case #4

Open
skyshine102 opened this issue Apr 30, 2021 · 1 comment
Open

Question about the 1-D case #4

skyshine102 opened this issue Apr 30, 2021 · 1 comment

Comments

@skyshine102
Copy link

Hi, I found your paper very interesting and I have a quick question. Here, the paper proposed CPE for the vision task, which is 2D and therefore the locality assumption would be valid. I would like to ask whether u have designed 1-D CPE and do similar experiments in the NLP tasks? If so, how could we choose the kernel size?

@cxxgtxy
Copy link
Collaborator

cxxgtxy commented May 11, 2021

Thanks for your attention.
Sorry for the late reply. Our goal is to better handle the positional encoding in vision transformer.
We don't do any experiments on NLP tasks. We believe it's an interesting topic.

# for free to join this conversation on GitHub. Already have an account? # to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants