Paper Reading:GhostNet: More Features from Cheap Operations

时间 2020-12-30

标签 DeepLearning computer vision Model compression 繁體版

原文原文链接

GhostNet: More Features from Cheap Operations Motivation 卷积神经网络中，特征冗余是其有效果的一大重要因素，为了解决CNN计算时会使用大量的计算量去计算冗余的特征的问题，这里提出了GhostNet。下图为ResNet-50里面特征图的可视化，可以看到有很多相似的特征图。 Architecture Ghost Module for More F

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1. CVPR2020 -- GhostNet: More Features from Cheap Operations
2. GhostNet: More Features from Cheap Operations
3. 《GhostNet: More Features from Cheap Operations》论文解读
4. 《GhostNet: More Features from Cheap Operations》笔记
5. 论文阅读——GhostNet: More Features from Cheap Operations
6. 【论文笔记】GhostNet：More Features from Cheap Operations
7. 《GhostNet：More Features from Cheap Operations》论文笔记
8. GhostNet: More Features from Cheap Operation论文阅读
9. GhostNet:More Features from Cheap Operations论文阅读笔记
10. [轻量化网络]--CVPR2020-GhostNet：More Features from Cheap Operations
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1. CVPR2020 -- GhostNet: More Features from Cheap Operations
2. GhostNet: More Features from Cheap Operations
3. 《GhostNet: More Features from Cheap Operations》论文解读
4. 《GhostNet: More Features from Cheap Operations》笔记
5. 论文阅读——GhostNet: More Features from Cheap Operations
6. 【论文笔记】GhostNet：More Features from Cheap Operations
7. 《GhostNet：More Features from Cheap Operations》论文笔记
8. GhostNet: More Features from Cheap Operation论文阅读
9. GhostNet:More Features from Cheap Operations论文阅读笔记
10. [轻量化网络]--CVPR2020-GhostNet：More Features from Cheap Operations

>>更多相关文章<<