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Resolution adaptive network
Thanks for sharing your code. I find some anomalous code In RANet.py#L322
.
these three "if branch" will not be excuted.
def _init_weights(self, m):
if isinstance(m, nn.Conv2d):
n = m.kernel_size[0] * m.kernel_size[1] * m.out_channels
m.weight.data.normal_(0, math.sqrt(2. / n))
elif isinstance(m, nn.BatchNorm2d):
m.weight.data.fill_(1)
m.bias.data.zero_()
elif isinstance(m, nn.Linear):
m.bias.data.zero_()
Hi, I am very interesting to your work!
Could you please provide the pretrained RANet models on ImageNet for our further research?
Thanks!
Could you please provide the pretrained RANet models on ImageNet? Thanks.
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