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

Implementation of coreset method #9

Open
jacksonxu opened this issue May 17, 2022 · 1 comment
Open

Implementation of coreset method #9

jacksonxu opened this issue May 17, 2022 · 1 comment

Comments

@jacksonxu
Copy link

Thanks for your open source code, I have reproduced the experiments and get similar results using ISAL. However, I want to compare the results with coreset method but I didn't find any open source code about coreset on object detection. I have read the coreset paper and its experiments are based on classification task. The key problem is how to calculate the distance between two different images in object detection. Did you implement coreset on object detection by yourself? If so, would you please share the code or is there any open source link? I'll be really appreciate it.

@dragonlzm
Copy link
Owner

dragonlzm commented May 17, 2022

Hi! In Supplementary Material of my paper https://arxiv.org/pdf/2108.09331.pdf, section 'D.2. Object Detection', I demonstrate how to implement the coreset method for object detection. We apply global average pooling on the feature after the regression branch and the classification branch of FCOS, and calculate the cosine similarity over these global averaged feature vectors.

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