3 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.CV2021★ 3 cited
Knowledge Distillation via Instance-level Sequence Learning
Haoran Zhao, Xin Sun, Junyu Dong +2
Recently, distillation approaches are suggested to extract general knowledge from a teacher network to guide a student network. Most of the existing methods transfer knowledge from…
cs.CV2021
Dual Discriminator Adversarial Distillation for Data-free Model Compression
Haoran Zhao, Xin Sun, Junyu Dong +2
Knowledge distillation has been widely used to produce portable and efficient neural networks which can be well applied on edge devices for computer vision tasks. However, almost a…
cs.CV2021★ 1 cited
Similarity Transfer for Knowledge Distillation
Haoran Zhao, Kun Gong, Xin Sun +2
Knowledge distillation is a popular paradigm for learning portable neural networks by transferring the knowledge from a large model into a smaller one. Most existing approaches enh…