[CVPR2020] GhostNet: More Features from Cheap Operations
This repo only implements the demo code for GhostNet. Please move to the official repo for more details.
This repo provides demo Pytorch implementation of CVPR 2020 paper GhostNet: More Features from Cheap Operations. The TensorFlow/PyTorch implementation with pretrained model is available at here.
The code was verified on Python3, PyTorch 1.0+.
Usage example:
import torch
from ghost_net import ghost_net
model = ghost_net(width_mult=1.0)
input = torch.randn(32,3,224,224)
y = model(input)
print(y)
GhostNet: More Features from Cheap Operations. CVPR 2020. [arXiv]
By Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu.
GhostNet beats other SOTA lightweight CNNs such as MobileNetV3 and FBNet.
@inproceedings{ghostnet,
title={GhostNet: More Features from Cheap Operations},
author={Han, Kai and Wang, Yunhe and Tian, Qi and Guo, Jianyuan and Xu, Chunjing and Xu, Chang},
booktitle={CVPR},
year={2020}
}