While reading the paper of Network in Network, I feel confusing about some points.
The following figure shows the network architecture, looks like to me the two layers with red circle are just fully connected layer. Is that right?
Also, the authors make the following statement. But which layer is cross channel parametric pooling layer in the context of the above figure? How to understand it is equivalent with 1*1 convolution kernel.