28 citations · 31 across the 4 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CV2019
Cluster Regularized Quantization for Deep Networks Compression
Yiming Hu, Jianquan Li, Xianlei Long +4
Deep neural networks (DNNs) have achieved great success in a wide range of computer vision areas, but the applications to mobile devices is limited due to their high storage and co…
cs.CV2019
Multi-loss-aware Channel Pruning of Deep Networks
Yiming Hu, Siyang Sun, Jianquan Li +3
Channel pruning, which seeks to reduce the model size by removing redundant channels, is a popular solution for deep networks compression. Existing channel pruning methods usually…
cs.CV2019★ 3 cited
Better Guider Predicts Future Better: Difference Guided Generative Adversarial Networks
Guohao Ying, Yingtian Zou, Lin Wan +2
Predicting the future is a fantasy but practicality work. It is the key component to intelligent agents, such as self-driving vehicles, medical monitoring devices and robotics. In…