3 citations · 4 across the 5 of their papers we have counts for
4 papers · 1 filter
Student-Oriented Teacher Knowledge Refinement for Knowledge Distillation
Chaomin Shen, Yaomin Huang, Haokun Zhu +2
Knowledge distillation has become widely recognized for its ability to transfer knowledge from a large teacher network to a compact and more streamlined student network. Traditiona…
Harmonizing knowledge Transfer in Neural Network with Unified Distillation
Yaomin Huang, Zaomin Yan, Chaomin Shen +2
Knowledge distillation (KD), known for its ability to transfer knowledge from a cumbersome network (teacher) to a lightweight one (student) without altering the architecture, has b…
CP: Channel Pruning Plug-in for Point-based Networks
Yaomin Huang, Ning Liu, Zhengping Che +7
Channel pruning can effectively reduce both computational cost and memory footprint of the original network while keeping a comparable accuracy performance. Though great success ha…
Label-Guided Auxiliary Training Improves 3D Object Detector
Yaomin Huang, Xinmei Liu, Yichen Zhu +7
Detecting 3D objects from point clouds is a practical yet challenging task that has attracted increasing attention recently. In this paper, we propose a Label-Guided auxiliary trai…