network model mobilenetplus
hanhande opened this issue · 0 comments
hanhande commented
I don't know what that means. Can you elaborate on the specific function of this piece? Why use the 3x3 convolution kernel?
self.score = nn.Sequential(OrderedDict([("norm.1", norm_act(out_sec + in_stag2_up_chs)),
("conv.1", nn.Conv2d(out_sec + in_stag2_up_chs,
out_sec + in_stag2_up_chs,
kernel_size=3, stride=1, padding=2,
dilation=2, bias=False)),
("norm.2", norm_act(out_sec + in_stag2_up_chs)),
("conv.2", nn.Conv2d(out_sec + in_stag2_up_chs, self.n_class,
kernel_size=1, stride=1, padding=0,
bias=True)),
("up1", nn.Upsample(size=in_size, mode='bilinear'))]))