Efficient AI Backbones

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

News
Model zoo

News

2024/02/27 The paper of ParameterNet is accepted by CVPR 2024.

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

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

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

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

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

2021/08/30 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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