-
Notifications
You must be signed in to change notification settings - Fork 20
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
CFS #3
Comments
We uploaded the filtered result of the CFS. You can directly use our results to save time. We didn't upload the code and many intermediate models because it is a copy process of the pre-training and fine-tuning. We tested many times and found that CFS was robust. The performance can be easily reproduced. For the reference, here is the original code of CFS. We didn't clear it.
|
vit_small_cfs_lup_20ep.pth: pre-train ViT-S on full LUP with 20 epochs. |
Thank you for your explanation. I have realised you do not use SIE. Is it because SIE is not suitable for cross domain evaluation? |
SIE can improve the performance, but using SIE is not fair to compare with other methods. Additionally, SIE is not the contribution of this paper. |
Very solid work! I want to use it as a strong baseline, but using the pretrained model with CFS seems not fair to compare with other works in my task. So, may I ask for the pretrained model w/o CFS or with Imagenet pretraining? Thanks! |
In CFS section, can I use the fully pre-trained model you provided(such as |
May I know which part of the code includes the CFS ?
The text was updated successfully, but these errors were encountered: