no code implementations • 21 Mar 2020 • Dingcheng Yang, Wenjian Yu, Ao Zhou, Haoyuan Mu, Gary Yao, Xiaoyi Wang
In this work, we propose an effective scheme (called DP-Net) for compressing the deep neural networks (DNNs).
6 code implementations • ECCV 2020 • Zichao Guo, Xiangyu Zhang, Haoyuan Mu, Wen Heng, Zechun Liu, Yichen Wei, Jian Sun
It is easy to train and fast to search.
Ranked #88 on Neural Architecture Search on <h2>oi</h2> (Accuracy metric)
2 code implementations • ICCV 2019 • Zechun Liu, Haoyuan Mu, Xiangyu Zhang, Zichao Guo, Xin Yang, Tim Kwang-Ting Cheng, Jian Sun
In this paper, we propose a novel meta learning approach for automatic channel pruning of very deep neural networks.
2 code implementations • CVPR 2019 • Xuecai Hu, Haoyuan Mu, Xiangyu Zhang, Zilei Wang, Tieniu Tan, Jian Sun
In this work, we propose a novel method called Meta-SR to firstly solve super-resolution of arbitrary scale factor (including non-integer scale factors) with a single model.