PWC-Net-small

[JerryLeolfl]

Hi Deqing,
I am interested to your work PWC-net, and I want to use it for optical flow estimation.But I have something confused.

1. I wonder that is that PWC-net-small in the paper means cut all skip connections in every dense block.
   I mean that if I want to use PWC-net-small, I will change code in PWC-Net/PyTorch/models/PWCNet.py /:
   x = torch.cat((corr2, c12, up_flow3, up_feat3), 1) x = torch.cat((self.conv2_0(x), x),1) x = torch.cat((self.conv2_1(x), x),1) x = torch.cat((self.conv2_2(x), x),1) x = torch.cat((self.conv2_3(x), x),1) x = torch.cat((self.conv2_4(x), x),1)
   to
   x = torch.cat((corr2, c12, up_flow3, up_feat3), 1) x = self.conv2_0(x) x = self.conv2_1(x) x = self.conv2_2(x) x = self.conv2_3(x) x = self.conv2_4(x)
   ...the same changes as what in the 3rd, 4th, 5th, 6th dense block
   Is that what you did for pwc-net-small?

2. what is different between 'pwc_dc_net' and 'pwc_dc_net_old'?

I am looking forward to your responce.
Thank you