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论文阅读——ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
时间 2020-12-30
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ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks 改进版通道注意力 from CVPR2020 期末结束,开始投入论文和实验的海洋 摘要: 通道注意力有效提升了CNN的性能,但是随着一系列复杂注意力模块的提出不可避免增加了计算成本。为了平衡性能和复杂度,本文设计了一种超轻量级的注意力模块-ECA
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