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

Some questions about A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation #5

Closed
LYX1637 opened this issue Jul 19, 2022 · 1 comment

Comments

@LYX1637
Copy link

LYX1637 commented Jul 19, 2022

  1. If choose the samples which belong to the missing class in target domain, what will happen?
  2. Since the samples of the source domain are randomly selected, will it cause the problem of inconsistency of the categories?
@tim-learn
Copy link
Owner

  1. If choose the samples which belong to the missing class in target domain, what will happen?
  2. Since the samples of the source domain are randomly selected, will it cause the problem of inconsistency of the categories?

We just randomly select the source samples in the experiment to increase the balance across domains, and the number of samples chosen is gradually decreasing during the training process.

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

No branches or pull requests

2 participants