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Will it better than L1 loss? Thanks
The text was updated successfully, but these errors were encountered:
Thanks for the nice comments. We only incorporate our BBL into the adversarial training, outperforming than L1 loss. You can try your proposal.
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get_flat_mask l_img = (0.2989 * r + 0.587 * g + 0.114 * b).unsqueeze(dim=1)
0.2989 0.587 0.114 where the RGB number come from?
It just converts a color image to a grey image...
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Will it better than L1 loss?
Thanks
The text was updated successfully, but these errors were encountered: