RuntimeError: Error(s) in loading state_dict for SCT

[Jamie-Cheung]

It is normal to load VGG and Decoder, but this error is reported when loading SCT. Please, tell me why?
RuntimeError: Error(s) in loading state_dict for SCT:
Unexpected key(s) in state_dict: "cnet.4.weight", "cnet.4.bias", "snet.4.weight", "snet.4.bias".
size mismatch for cnet.0.weight: copying a param with shape torch.Size([256, 512, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 256, 1, 1]).
size mismatch for cnet.0.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for cnet.2.weight: copying a param with shape torch.Size([128, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([32, 128, 1, 1]).
size mismatch for cnet.2.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([32]).
size mismatch for snet.0.weight: copying a param with shape torch.Size([256, 512, 3, 3]) from checkpoint, the shape in current model is torch.Size([128, 256, 3, 3]).
size mismatch for snet.0.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for snet.2.weight: copying a param with shape torch.Size([128, 256, 3, 3]) from checkpoint, the shape in current model is torch.Size([32, 128, 1, 1]).
size mismatch for snet.2.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([32]).
size mismatch for uncompress.weight: copying a param with shape torch.Size([512, 32, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 32, 1, 1]).
size mismatch for uncompress.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([256]).