Hi ,
Thanks for your code and paper. I got a question:
As your paper said,
your first dense block is: DB (4 layers) + TD, m = 112
your second dense block is: DB (5 layers) + TD, m = 192
Why m=192? You may explain that because 112+5*16=192. However, in my opinion, the output of the first dense block(or the input of the second dense block) has different feature size(row and column) as the second dense block, because there is 2*2 pooling layer in the dense block, right?
So, it's hardly to understand how you can concatenate 112 feature maps and 5*16 feature maps along the channel axis since they have different rows and columns
Thank you in advance！
huangh12
commented
7 years ago
Hi , Thanks for your code and paper. I got a question: As your paper said, your first dense block is: DB (4 layers) + TD, m = 112 your second dense block is: DB (5 layers) + TD, m = 192 Why m=192? You may explain that because 112+5*16=192. However, in my opinion, the output of the first dense block(or the input of the second dense block) has different feature size(row and column) as the second dense block, because there is 2*2 pooling layer in the dense block, right? So, it's hardly to understand how you can concatenate 112 feature maps and 5*16 feature maps along the channel axis since they have different rows and columns Thank you in advance！