420 citations · 1.2k across the 58 of their papers we have counts for
5 papers · 1 filter
DNQ: Dynamic Network Quantization
Yuhui Xu, Shuai Zhang, Yingyong Qi +3
Network quantization is an effective method for the deployment of neural networks on memory and energy constrained mobile devices. In this paper, we propose a Dynamic Network Quant…
Trained Rank Pruning for Efficient Deep Neural Networks
Yuhui Xu, Yuxi Li, Shuai Zhang +6
The performance of Deep Neural Networks (DNNs) keeps elevating in recent years with increasing network depth and width. To enable DNNs on edge devices like mobile phones, researche…
Zigzag Learning for Weakly Supervised Object Detection
Xiaopeng Zhang, Jiashi Feng, Hongkai Xiong +1
This paper addresses weakly supervised object detection with only image-level supervision at training stage. Previous approaches train detection models with entire images all at on…
Robust Subspace Clustering with Compressed Data
Guangcan Liu, Zhao Zhang, Qingshan Liu +1
Dimension reduction is widely regarded as an effective way for decreasing the computation, storage and communication loads of data-driven intelligent systems, leading to a growing…
Deep Neural Network Compression with Single and Multiple Level Quantization
Yuhui Xu, Yongzhuang Wang, Aojun Zhou +2
Network quantization is an effective solution to compress deep neural networks for practical usage. Existing network quantization methods cannot sufficiently exploit the depth info…