Comments (2)
SSN takes image (I) as input and produces superpixels. 'R' is only used in loss function. That's why there is no R in the algorithm 1. Network produces Q and we use that Q to map R to superpixels and then back to pixels (see sec. 4.3 and eq. 5).
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SSN takes image (I) as input and produces superpixels. 'R' is only used in loss function. That's why there is no R in the algorithm 1. Network produces Q and we use that Q to map R to superpixels and then back to pixels (see sec. 4.3 and eq. 5).
thanks,i almost understand the design of this loss.
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Related Issues (20)
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