10 citations · 17 across the 3 of their papers we have counts for
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cs.CV2020★ 6 cited
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN
Jingwen Ye, Yixin Ji, Xinchao Wang +2
Recent advances in deep learning have provided procedures for learning one network to amalgamate multiple streams of knowledge from the pre-trained Convolutional Neural Network (CN…
cs.CV2019★ 10 cited
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More
Jingwen Ye, Yixin Ji, Xinchao Wang +3
In this paper, we investigate a novel deep-model reusing task. Our goal is to train a lightweight and versatile student model, without human-labelled annotations, that amalgamates…