When I reproduced the network in this paper, I encountered the following problems: Scenne embedding u in the module is realized by C6 through 1x1 convolution layer, and C6 is a two-dimensional tensor (None, C) obtained by C5 through global average pooling calculation. The input requirements of the convolution layer are (N, H, W, C), and the dimension of C6 does not meet the requirements. What's the matter, please? Did I get it wrong?
When I reproduced the network in this paper, I encountered the following problems: Scenne embedding u in the module is realized by C6 through 1x1 convolution layer, and C6 is a two-dimensional tensor (None, C) obtained by C5 through global average pooling calculation. The input requirements of the convolution layer are (N, H, W, C), and the dimension of C6 does not meet the requirements. What's the matter, please? Did I get it wrong?