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huawei-noah/Efficient-AI-Backbones

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Efficient AI Backbones

including GhostNet, TNT (Transformer in Transformer), AugViT, WaveMLP and ViG developed by Huawei Noah's Ark Lab.

News

2024年02月27日 The paper of ParameterNet is accepted by CVPR 2024.

2022年12月01日 The code of NeurIPS 2022 (Spotlight) GhostNetV2 is released at ./ghostnetv2_pytorch.

2022年11月13日 The code of IJCV 2022 G-Ghost RegNet is released at ./g_ghost_pytorch.

2022年06月17日 The code of NeurIPS 2022 Vision GNN (ViG) is released at ./vig_pytorch.

2022年02月06日 Transformer in Transformer (TNT) is selected as the Most Influential NeurIPS 2021 Papers .

2021年09月18日 The extended version of Versatile Filters is accepted by T-PAMI.

2021年08月30日 GhostNet paper is selected as the Most Influential CVPR 2020 Papers .

Model zoo

Model Paper Pytorch code MindSpore code
GhostNet GhostNet: More Features from Cheap Operations. [CVPR 2020] ./ghostnet_pytorch MindSpore Model Zoo
GhostNetV2 GhostNetV2: Enhance Cheap Operation with Long-Range Attention. [NeurIPS 2022 Spotlight] ./ghostnetv2_pytorch MindSpore Model Zoo
G-GhostNet GhostNets on Heterogeneous Devices via Cheap Operations. [IJCV 2022] ./g_ghost_pytorch MindSpore Model Zoo
TinyNet Model Rubik’s Cube: Twisting Resolution, Depth and Width for TinyNets. [NeurIPS 2020] ./tinynet_pytorch MindSpore Model Zoo
TNT Transformer in Transformer. [NeurIPS 2021] ./tnt_pytorch MindSpore Model Zoo
PyramidTNT PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid Architecture. [CVPR 2022 Workshop] ./tnt_pytorch MindSpore Model Zoo
CMT CMT: Convolutional Neural Networks Meet Vision Transformers. [CVPR 2022] ./cmt_pytorch MindSpore Model Zoo
AugViT Augmented Shortcuts for Vision Transformers. [NeurIPS 2021] ./augvit_pytorch MindSpore Model Zoo
SNN-MLP Brain-inspired Multilayer Perceptron with Spiking Neurons. [CVPR 2022] ./snnmlp_pytorch MindSpore Model Zoo
WaveMLP An Image Patch is a Wave: Quantum Inspired Vision MLP. [CVPR 2022] ./wavemlp_pytorch MindSpore Model Zoo
ViG Vision GNN: An Image is Worth Graph of Nodes. [NeurIPS 2022] ./vig_pytorch -
LegoNet LegoNet: Efficient Convolutional Neural Networks with Lego Filters. [ICML 2019] ./legonet_pytorch -
Versatile Filters Learning Versatile Filters for Efficient Convolutional Neural Networks. [NeurIPS 2018] ./versatile_filters -
ParameterNet ParameterNet: Parameters Are All You Need. [CVPR 2024]. ./parameternet_pytorch -

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