zihangJiang / TokenLabeling

Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"
Apache License 2.0
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Do you consider combine the tokens-to-token (kernel>1 vs vit where kernel=1) with token labeling? #2

Closed zhaoguangxiang closed 2 years ago

zhaoguangxiang commented 3 years ago

Have you tried this setting?

yuanli2333 commented 3 years ago

We have tried it, and token labeling also works for our t2t-vit, we will release such models in this repo and our T2T-ViT repo in the future.

zihangJiang commented 2 years ago

@zhaoguangxiang You can check the models here: https://github.com/yitu-opensource/T2T-ViT#2-t2t-vit-models