From ac846b080a694df8e224000582a668b1bdc070a1 Mon Sep 17 00:00:00 2001 From: yehuitang <55628940+yehuitang@users.noreply.github.com> Date: Wed, 16 Feb 2022 00:14:34 +0800 Subject: [PATCH] Update readme.md --- readme.md | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/readme.md b/readme.md index 08a05ff..f48fc48 100755 --- a/readme.md +++ b/readme.md @@ -6,6 +6,7 @@ including GhostNet, TinyNet, TNT (Transformer in Transformer) developed by Huawe - [PyramidTNT Code](#tnt-code) - [LegoNet Code](#legonet-code) - [Versatile Filters Code](#versatile-filters-code) +- [AugViT Code](#augvit-code) - [Citation](#citation) - [Other versions](#other-versions) @@ -57,6 +58,11 @@ This repo provides the implementation of paper [LegoNet: Efficient Convolutional This repo provides the implementation of paper [Learning Versatile Filters for Efficient Convolutional Neural Networks (NeurIPS 2018)](https://papers.nips.cc/paper/7433-learning-versatile-filters-for-efficient-convolutional-neural-networks) - PyTorch: [./versatile_filters](https://github.com/huawei-noah/CV-backbones/tree/master/versatile_filters). +## AugViT Code + +This repo provides the implementation of paper [Augmented Shortcuts for Vision Transformers (NeurIPS 2021)](https://proceedings.neurips.cc/paper/2021/file/818f4654ed39a1c147d1e51a00ffb4cb-Paper.pdf) +- PyTorch: [./augvit_pytorch](https://github.com/huawei-noah/CV-backbones/tree/master/augvit_pytorch). +- We also release the code on [MindSpore Model Zoo](https://gitee.com/mindspore/models/tree/master/research/cv/augvit). ## Citation ``` @@ -90,6 +96,13 @@ This repo provides the implementation of paper [Learning Versatile Filters for E booktitle={NeurIPS}, year={2018} } +@article{tang2021augmented, + title={Augmented shortcuts for vision transformers}, + author={Tang, Yehui and Han, Kai and Xu, Chang and Xiao, An and Deng, Yiping and Xu, Chao and Wang, Yunhe}, + journal={Advances in Neural Information Processing Systems}, + volume={34}, + year={2021} +} ``` ## Other versions of GhostNet