pytorch-image-models/modelindex/.templates/models/legacy-se-resnext.md

Summary

SE ResNeXt is a variant of a ResNeXt that employs squeeze-and-excitation blocks to enable the network to perform dynamic channel-wise feature recalibration.

{% include 'code_snippets.md' %}

How do I train this model?

You can follow the timm recipe scripts for training a new model afresh.

Citation

@misc{hu2019squeezeandexcitation,
      title={Squeeze-and-Excitation Networks}, 
      author={Jie Hu and Li Shen and Samuel Albanie and Gang Sun and Enhua Wu},
      year={2019},
      eprint={1709.01507},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}