about the reweighting operation in two modulators about rpcmvos HOT 1 CLOSED

Thanks for your attention!

As is stated in the paper, w_p is for propagation and w_c for correction, which is named according to the reliable degree of info they contain.

From the perspective of the feature construction view, they are object-level contextual features. And we use the concatenation of weights [w_p;w_c] for both two modulators and the memory encoder in our model so as to introduce object-level cues from them.

Empirically, only using weight w_p or w_c will lose one type of object-level guidance for modulation in the two modulators, thus leading to a slight drop in performance.

from rpcmvos.