Closed irfanICMLL closed 4 years ago
_output = model(rgb_0, anno_0, rgb_1, ref_index, i+1)
_output = F.interpolate(_output, (h,w), mode='bilinear')
output = torch.argmax(_output, 1, keepdim=True).float()
output = _output
2. Just do `x = image.float()[:,:,::4,::4]` because the center of CNN filters starts from the top left corner.
3. About 59 (J&F Mean). Refer to table 5 of the paper.
Thank you for sharing such a great job! I have some questions about the implementation details for this paper.
I would be so grateful if you can help me with these details. Looking forward to the coming code.