Ghost conv
WebA Ghost Module is an image block for convolutional neural network that aims to generate more features by using fewer parameters. Specifically, an ordinary convolutional layer in deep neural networks is split into two … WebGhost Bottleneck结构主要性质如下: Ghost Bottleneck主要由两个堆叠的Ghost module组成,第一个Ghost module的作用是扩展层,其增加通道数,第二个是减少通道数,然后通过shortcut和输入进行连接得到最终的输出
Ghost conv
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WebSpecifically, We retain the structure of original Ghost Conv but operates depthwise Conv with dilation version, and its inner detail is shown as Fig. 5. GDConv is the core ingredient for EMF ...
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