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

add FAN model (vision) #17234

Open
1 of 2 tasks
johnnv1 opened this issue May 13, 2022 · 2 comments
Open
1 of 2 tasks

add FAN model (vision) #17234

johnnv1 opened this issue May 13, 2022 · 2 comments

Comments

@johnnv1
Copy link
Contributor

johnnv1 commented May 13, 2022

Model description

Fully attentional networks (FAN) is a family of general-purpose Vision Transformer backbones that are highly robust to unseen natural corruptions in various visual recognition tasks.

Open source status

  • The model implementation is available
  • The model weights are available

Provide useful links for the implementation

@kiansierra
Copy link
Contributor

Hi there, I would like to implement this model @NielsRogge

@kiansierra kiansierra mentioned this issue Nov 17, 2022
19 tasks
@kiansierra
Copy link
Contributor

kiansierra commented Nov 17, 2022

Hi @NielsRogge.
To my knowledge there would still be two pending tasks

  • Update README.md to include FAN model
  • Migrate Files, weights to NVIDA organization space
    Please let me know what additional tasks you think might be pending

@kiansierra kiansierra mentioned this issue Nov 23, 2022
5 tasks
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

Successfully merging a pull request may close this issue.

3 participants