network models in net.py

[I3aer]

Hi,

First, thanks for publishing your code. It is easy to understand your code. However, I think that there are some unnecessary network models in the net.py. Probably, they are used in the development phase to measure performance of different architectures. In my view, we don't need the following network models to run the FSDNet:

class ShadowNetUncertaintyGuide(nn.Module):
class basic_ASPP_DSC(nn.Module):
class basic_ASPP(nn.Module):
class basic_DSC(nn.Module):
class ShadowNet(nn.Module):
class ShadowNet2(nn.Module):

Maybe, you can explain the purpose of those networks to me?

In addition, I could not find "DEM" in your FSDNet's architecture. Instead, a decoder is called x = self.decoder(dsc, low_level_feat, middle_level_feat,x) # 256,256,256,256 on line 503 in the net.py before getting the ouput. Can you tell me where the DEM is?

Thanks

[I3aer]

You defined DEM inside the decoder. You can just give some explanation about those networks. Thank you!