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When the number of class is n, the number of this method is 2n. As the photo show. Every class separated to foreground and background.
Q1: The ‘C’ on this photo means the number of class? If do, why it must be it?
Q2: As w is a vector, is f a c dimensional vector?
The theory is the value of foreground and background is distinguished on feature map. ‘w’ can transform feature vector of each pixel to a score represent binary class. We name this score S.
S ′ S' S′ just make fg part to positive and bg to negative.
S ′ ′ S'' S′′ were learnt by optimize followed equation.
where S ′ ′ S'' S′′ is the final score
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