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5.4 KiB
5.4 KiB
Summary
An ECA ResNet is a variant on a ResNet that utilises an Efficient Channel Attention module. Efficient Channel Attention is an architectural unit based on squeeze-and-excitation blocks that reduces model complexity without dimensionality reduction.
{% 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{wang2020ecanet,
title={ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks},
author={Qilong Wang and Banggu Wu and Pengfei Zhu and Peihua Li and Wangmeng Zuo and Qinghua Hu},
year={2020},
eprint={1910.03151},
archivePrefix={arXiv},
primaryClass={cs.CV}
}