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

MLP-Mixer: An all-MLP Architecture for Vision #57

Closed
gaorui999 opened this issue Nov 18, 2021 · 3 comments
Closed

MLP-Mixer: An all-MLP Architecture for Vision #57

gaorui999 opened this issue Nov 18, 2021 · 3 comments

Comments

@gaorui999
Copy link

readme文件里的两个模型的TOP1 是不是写反了?模型大的准确度比模型小的准确度小一些?

Arch Weight Top-1 Acc Top-5 Acc Crop ratio # Params
mlp_mixer_b16_224 pretrain 1k 76.60 92.23 0.875 60.0M
mlp_mixer_l16_224 pretrain 1k 72.06 87.67 0.875 208.2M
@firestonelib
Copy link
Contributor

@lmk123568

@lmk123568
Copy link
Contributor

readme文件里的两个模型的TOP1 是不是写反了?模型大的准确度比模型小的准确度小一些?

Arch Weight Top-1 Acc Top-5 Acc Crop ratio # Params
mlp_mixer_b16_224 pretrain 1k 76.60 92.23 0.875 60.0M
mlp_mixer_l16_224 pretrain 1k 72.06 87.67 0.875 208.2M

截屏2021-11-19 17 16 25

@lmk123568
Copy link
Contributor

readme文件里的两个模型的TOP1 是不是写反了?模型大的准确度比模型小的准确度小一些?

Arch Weight Top-1 Acc Top-5 Acc Crop ratio # Params
mlp_mixer_b16_224 pretrain 1k 76.60 92.23 0.875 60.0M
mlp_mixer_l16_224 pretrain 1k 72.06 87.67 0.875 208.2M

感谢关注PASSL,详细可看MLP-Mixer

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

3 participants