| 标题 |
 ECA-Net:Efficient Channel Attention for Deep Convolutional Neural Networks |
| 网址 | |
| DOI |
10.1109/CVPR42600.2020.01155
doi
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| 其它 |
摘要： Recently,channel attention mechanism has demonstrated to offer great potential in improving the performance of deep convolutional neural networks(CNNs).However,most existing methods dedicate to developing more sophisticated attention modules for achieving better performance,which inevitably increase model complexity.To overcome the paradox of performance and complexity trade-off,this paper proposes an Efficient Channel Attention(ECA)module,which only involves a handful of parameters while bringing Qilong Wang Banggu Wu Pengfei Zhu Peihua Li Wangmeng Zuo Qinghua Hu |
| 求助人 | |
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(2025-6-4)
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