Dear author:
Thanks for your great work, your paper and code are perfect. A good idea has been proposed in your paper, and clearly code realized it, what's more, your idea has a strong theoretical persuasion. While, when I print the output of the network, it was hard for me to understand the size of for an input image, parts=4, part = 3, the output size of "fea" are:
net output size"fea":
3x4x256
can I understand that for every input image, the networks will generate 12 features, and every feature's dimension is 256?
Dear author: Thanks for your great work, your paper and code are perfect. A good idea has been proposed in your paper, and clearly code realized it, what's more, your idea has a strong theoretical persuasion. While, when I print the output of the network, it was hard for me to understand the size of for an input image, parts=4, part = 3, the output size of "fea" are: net output size"fea": 3x4x256 can I understand that for every input image, the networks will generate 12 features, and every feature's dimension is 256?