AECRNet-MindSpore
AECRNet-MindSpore copied to clipboard
关于model.py中Dehaze模型的实现细节问题?
def __init__(self, input_nc, output_nc, ngf=64):
...
self.block = DehazeBlock(default_conv, ngf*4, 3)
...
def construct(self, x):
...
x1 = self.block(x_down3)
x2 = self.block(x1)
x3 = self.block(x2)
x4 = self.block(x3)
x5 = self.block(x4)
x6 = self.block(x5)
....
这样写是不是会造成网络中只有一个DehazeBlock,而不是论文中所说的6个??
Same question, whether the code has some mistake? Looking forward to your reply.
好问题,按照原文“Note that we significantly reduce the number of FA blocks by only using 6 FA blocks (vs. 57 FA blocks in FFA-Net)”
FFA-Net
确实不应该是参数共享?