Distilling Structural Knowledge for Platform-Aware Semantic Segmentation
Guilin Li,
Qiang Wang,
Xiawu Zheng
Abstract:Knowledge Distillation (KD) aims to distill the dark knowledge of a high-powered teacher network into a student network, which can improve the capacity of student network and has been successfully applied to semantic segmentation. However, the standard knowledge distillation approaches merely represent the supervisory signal of teacher network as the dark knowledge, while ignoring the impact of network architecture during distillation. In this paper, we found that the student network with a more similar archit… Show more
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