DGD: Densifying the Knowledge of Neural Networks with Filter Grafting and Knowledge Distillation

26 Apr 2020Hao ChengFanxu MengKe LiHuixiang LuoGuangming LuXiaowei GuoFeiyue HuangXing Sun

With a fixed model structure, knowledge distillation and filter grafting are two effective ways to boost single model accuracy. However, the working mechanism and the differences between distillation and grafting have not been fully unveiled... (read more)

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