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# Efficient AI Backbones
including GhostNet, TNT (Transformer in Transformer), AugViT, WaveMLP and ViG developed by Huawei Noah's Ark Lab.
- [GhostNet Code](#ghostnet-code)
- [TinyNet Code](#tinynet-code)
- [TNT Code](#tnt-code)
- [PyramidTNT Code](#tnt-code)
- [LegoNet Code](#legonet-code)
- [Versatile Filters Code](#versatile-filters-code)
- [AugViT Code](#augvit-code)
- [WaveMLP Code](#wavemlp-code)
- [ViG Code](#vig-code)
- [GhostNetV2 Code](#ghostnetv2-code)
- [Model zoo](#model-zoo)
- [Citation](#citation)
- [Other versions](#other-versions-of-ghostNet)
- [Other versions](#other-versions-of-ghostnet)

**News**

2022/12/01 The code of NeurIPS 2022 (Spotlight) [GhostNetV2](https://arxiv.org/abs/2211.12905) is released at [./ghostnetv2_pytorch](https://github.com/huawei-noah/Efficient-AI-Backbones/tree/master/ghostnetv2_pytorch).

2022/11/13 The code of IJCV 2022 [G-Ghost RegNet](https://arxiv.org/abs/2201.03297) is released at [./vig_pytorch](https://github.com/huawei-noah/Efficient-AI-Backbones/tree/master/g_ghost_pytorch).
2022/11/13 The code of IJCV 2022 [G-Ghost RegNet](https://arxiv.org/abs/2201.03297) is released at [./g_ghost_pytorch](https://github.com/huawei-noah/Efficient-AI-Backbones/tree/master/g_ghost_pytorch).

2022/06/17 The code of NeurIPS 2022 [Vision GNN (ViG)](https://arxiv.org/abs/2206.00272) is released at [./vig_pytorch](https://github.com/huawei-noah/Efficient-AI-Backbones/tree/master/vig_pytorch).

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---

## GhostNet Code
## Model zoo

| Model | Paper | Pytorch code | Tensorflow code | MindSpore code |
| - | - | - | - | - |
| GhostNet | GhostNet: More Features from Cheap Operations. [[CVPR 2020]](https://arxiv.org/abs/1911.11907) | [./ghostnet_pytorch](https://github.com/huawei-noah/CV-backbones/tree/master/ghostnet_pytorch) | [./ghostnet_tensorflow](https://github.com/huawei-noah/CV-backbones/tree/master/ghostnet_tensorflow) | [MindSpore Model Zoo](https://gitee.com/mindspore/models/tree/master/research/cv/ghostnet) |
| GhostNetV2 | GhostNetV2: Enhance Cheap Operation with Long-Range Attention. [[NeurIPS 2022 Spotlight]](https://arxiv.org/abs/2211.12905) | [./ghostnetv2_pytorch](https://github.com/huawei-noah/Efficient-AI-Backbones/tree/master/ghostnetv2_pytorch) | - | [MindSpore Model Zoo](https://gitee.com/mindspore/models/tree/master/research/cv/ghostnetv2) |
| TinyNet | Model Rubik’s Cube: Twisting Resolution, Depth and Width for TinyNets. [[NeurIPS 2020]](https://arxiv.org/abs/2010.14819) | [./tinynet_pytorch](https://github.com/huawei-noah/CV-backbones/tree/master/tinynet_pytorch) | - | [MindSpore Model Zoo](https://gitee.com/mindspore/models/tree/master/research/cv/tinynet) |
| TNT | Transformer in Transformer. [[NeurIPS 2021]](https://arxiv.org/abs/2103.00112) | [./tnt_pytorch](https://github.com/huawei-noah/CV-backbones/tree/master/tnt_pytorch) | - | [MindSpore Model Zoo](https://gitee.com/mindspore/models/tree/master/research/cv/TNT) |
| PyramidTNT | PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid Architecture. [[CVPR 2022 Workshop]](https://arxiv.org/abs/2201.00978)| [./tnt_pytorch](https://github.com/huawei-noah/CV-backbones/tree/master/tnt_pytorch) | - | [MindSpore Model Zoo](https://gitee.com/mindspore/models/tree/master/research/cv/TNT) |
| LegoNet | LegoNet: Efficient Convolutional Neural Networks with Lego Filters. [[ICML 2019]](http://proceedings.mlr.press/v97/yang19c/yang19c.pdf) | [./legonet_pytorch](https://github.com/huawei-noah/CV-backbones/tree/master/legonet_pytorch) | - | - |
| Versatile Filters | Learning Versatile Filters for Efficient Convolutional Neural Networks. [[NeurIPS 2018]](https://papers.nips.cc/paper/7433-learning-versatile-filters-for-efficient-convolutional-neural-networks) | [./versatile_filters](https://github.com/huawei-noah/CV-backbones/tree/master/versatile_filters) | - | - |
| AugViT | Augmented Shortcuts for Vision Transformers. [[NeurIPS 2021]](https://proceedings.neurips.cc/paper/2021/file/818f4654ed39a1c147d1e51a00ffb4cb-Paper.pdf) | [./augvit_pytorch](https://github.com/huawei-noah/CV-backbones/tree/master/augvit_pytorch) | - | [MindSpore Model Zoo](https://gitee.com/mindspore/models/tree/master/research/cv/augvit) |
| WaveMLP | An Image Patch is a Wave: Quantum Inspired Vision MLP. [[CVPR 2022]](https://arxiv.org/pdf/2111.12294.pdf) | [./wavemlp_pytorch](https://github.com/huawei-noah/CV-Backbones/tree/master/wavemlp_pytorch) | - | [MindSpore Model Zoo](https://gitee.com/mindspore/models/tree/master/research/cv/wave_mlp) |
| ViG | Vision GNN: An Image is Worth Graph of Nodes. [[NeurIPS 2022]](https://arxiv.org/abs/2206.00272) | [./vig_pytorch](https://github.com/huawei-noah/CV-Backbones/tree/master/vig_pytorch) | - | [MindSpore Model Zoo](https://gitee.com/mindspore/models/tree/master/research/cv/ViG) |

This repo provides GhostNet **pretrained models** and **inference code** for TensorFlow and PyTorch:
- Tensorflow: [./ghostnet_tensorflow](https://github.com/huawei-noah/CV-backbones/tree/master/ghostnet_tensorflow) with pretrained model.
- PyTorch: [./ghostnet_pytorch](https://github.com/huawei-noah/CV-backbones/tree/master/ghostnet_pytorch) with pretrained model.
- We also opensource code on [MindSpore Hub](https://www.mindspore.cn/resources/hub) and [MindSpore Model Zoo](https://gitee.com/mindspore/models/tree/master/research/cv).

For **training**, please refer to [tinynet](https://gitee.com/mindspore/models/tree/master/research/cv/tinynet) or [timm](https://rwightman.github.io/pytorch-image-models/training_hparam_examples/#mobilenetv3-large-100-75766-top-1-92542-top-5).

## TinyNet Code

This repo provides TinyNet **pretrained models** and **inference code** for PyTorch:
- PyTorch: [./tinynet_pytorch](https://github.com/huawei-noah/CV-backbones/tree/master/tinynet_pytorch) with pretrained model.
- We also opensource training code on [MindSpore Model Zoo](https://gitee.com/mindspore/models/tree/master/research/cv).

## TNT Code

This repo provides **training code** and **pretrained models** of TNT (Transformer in Transformer) for PyTorch:
- PyTorch: [./tnt_pytorch](https://github.com/huawei-noah/CV-backbones/tree/master/tnt_pytorch).
- We also opensource code on [MindSpore Model Zoo](https://gitee.com/mindspore/models/tree/master/research/cv/TNT).

The code of PyramidTNT is also released:
- PyTorch: [./tnt_pytorch](https://github.com/huawei-noah/CV-backbones/tree/master/tnt_pytorch).

## LegoNet Code
This repo provides the implementation of paper [LegoNet: Efficient Convolutional Neural Networks with Lego Filters (ICML 2019)](http://proceedings.mlr.press/v97/yang19c/yang19c.pdf)
- PyTorch: [./legonet_pytorch](https://github.com/huawei-noah/CV-backbones/tree/master/legonet_pytorch).

## Versatile Filters Code
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).

## WaveMLP Code

This repo provides the implementation of paper [An Image Patch is a Wave: Quantum Inspired Vision MLP (CVPR 2022)](https://arxiv.org/pdf/2111.12294.pdf)
- PyTorch: [./wavemlp_pytorch](https://github.com/huawei-noah/CV-Backbones/tree/master/wavemlp_pytorch).
- We also release the code on [MindSpore Model Zoo](https://gitee.com/mindspore/models/tree/master/research/cv/wave_mlp).

## ViG Code

This repo provides the implementation of paper [Vision GNN: An Image is Worth Graph of Nodes](https://arxiv.org/abs/2206.00272)
- PyTorch: [./vig_pytorch](https://github.com/huawei-noah/CV-Backbones/tree/master/vig_pytorch).
- We also release the code on [MindSpore Model Zoo](https://gitee.com/mindspore/models/tree/master/research/cv/ViG).

## GhostNetV2 Code

This repo provides the implementation of paper [GhostNetV2: Enhance Cheap Operation with Long-Range Attention (NeurIPS 2022 Spotlight)](https://arxiv.org/abs/2211.12905)
- PyTorch: [./ghostnetv2_pytorch](https://github.com/huawei-noah/Efficient-AI-Backbones/tree/master/ghostnetv2_pytorch).
- We also release the code on [MindSpore Model Zoo](https://gitee.com/mindspore/models/tree/master/research/cv/ghostnetv2).

## Citation
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