mmclassification/configs/seresnet
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README.md

Squeeze-and-Excitation Networks

Introduction

@inproceedings{hu2018squeeze,
  title={Squeeze-and-excitation networks},
  author={Hu, Jie and Shen, Li and Sun, Gang},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={7132--7141},
  year={2018}
}

Results and models

ImageNet

Model Params(M) Flops(G) Top-1 (%) Top-5 (%) Config Download
SE-ResNet-50 28.09 4.13 77.74 93.84 config model | log
SE-ResNet-101 49.33 7.86 78.26 94.07 config model | log