luomingnan

Thank you for your attention to our work. For the second question, you are right. In this code, we convolve the map(batch_size,1,C,2) with 1x1 or 1x2 convolution kernels. And in...

1x1: data: (batch_size, 1, C, 2) kernel: 1x1 kernel_num: C/16 out: (batch_size, C/16, C, 2) mean_out: (batch_size, 1, C, 2) flatten: (batch_size, 2C) 1x2: data: (batch_size, 1, C, 2) kernel:...

Yes, that's it.

Using C convolution kernels (1x1) to transform dimensions from (batch_size, 2C, 1, 1) to (batch_size, C, 1,1) is exactly the function of FC. However, the parameters of our method are...