Figure 2. (IMAGE)
Caption
An illustration of our proposed IMAM approach based on an MDC problem with two LDs. In the decomposition step (a), we construct imbalance-aware deep models for each LD. In the fusion step (b), we use the models in the former step as fixed teachers and fuse their knowledge into a compact student. Both embedding (green) and classifier (red) distillations help in matching knowledge between models. Subscript “T” denote the component of teacher. “CE” means the cross-entropy.
Credit
Yi Shi, Han-Jia Ye, Dong-Liang Man, Xiao-Xu Han, De-Chuan Zhan, Yuan Jiang
Usage Restrictions
none
License
Original content