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@ -5,6 +5,7 @@ This repository contains PyTorch evaluation code, training code and pretrained m
* [DeiT](README.md) (Data-Efficient Image Transformers), ICML 2021
* [CaiT](README_cait.md) (Going deeper with Image Transformers), ICCV 2021 (Oral)
* ResMLP (ResMLP: Feedforward networks for image classification with data-efficient training)
* [PatchConvnet](README_patchconvnet.md) (Augmenting Convolutional networks with attention-based aggregation)
ResMLP obtain good performance given its simplicity: