Skip to content
New issue

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

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

Already on GitHub? Sign in to your account

About the experiments in few shot learning scenario #35

Open
priceee opened this issue Nov 29, 2022 · 1 comment
Open

About the experiments in few shot learning scenario #35

priceee opened this issue Nov 29, 2022 · 1 comment
Labels
Resolved This is already resolved

Comments

@priceee
Copy link

priceee commented Nov 29, 2022

Thank you for your impressive job!
I am working on few shot learning scenario. After reading your paper and code, I have some questions:

  1. Could you please upload the few shot data split?
  2. The few shot trainning set up is different from CoverTree? It seems that CoverTree do both the pretranning and down-stream task training in few shot scenario? but your work runs pretraining using the whole ModelNet40 dataset, then train the down-stream task in few show scenario?
@hansen7
Copy link
Owner

hansen7 commented Jun 26, 2024

Hi @priceee , thank you for your question.

I didn't have the data splits, as the data stored on the Cambridge's server should be erased now..

Yes we pretrain the models on the whole dataset.

@hansen7 hansen7 added the Resolved This is already resolved label Jul 8, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Resolved This is already resolved
Projects
None yet
Development

No branches or pull requests

2 participants