why last prediction layer is 3x3 convolution??
choco9966 opened this issue · comments
Hello, I wonder why you used 3x3 convolution when you predicted the last output class. SegNet itself is to speed up, isn't it much faster to use 1x1 convolution? I want to know why it's composed of 3x3 convolution.
