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@ -4,6 +4,7 @@ This repository contains PyTorch evaluation code, training code and pretrained m
* DeiT (Data-Efficient Image Transformers), ICML 2021 * DeiT (Data-Efficient Image Transformers), ICML 2021
* [CaiT](README_cait.md) (Going deeper with Image Transformers), ICCV 2021 (Oral) * [CaiT](README_cait.md) (Going deeper with Image Transformers), ICCV 2021 (Oral)
* [ResMLP](README_resmlp.md) (ResMLP: Feedforward networks for image classification with data-efficient training) * [ResMLP](README_resmlp.md) (ResMLP: Feedforward networks for image classification with data-efficient training)
* [PatchConvnet](README_patchconvnet.md) (Augmenting Convolutional networks with attention-based aggregation)
They obtain competitive tradeoffs in terms of speed / precision: They obtain competitive tradeoffs in terms of speed / precision: