133 citations · 152 across the 8 of their papers we have counts for
4 papers · 1 filter
signADAM: Learning Confidences for Deep Neural Networks
Dong Wang, Yicheng Liu, Wenwo Tang +4
In this paper, we propose a new first-order gradient-based algorithm to train deep neural networks. We first introduce the sign operation of stochastic gradients (as in sign-based…
Pixel DAG-Recurrent Neural Network for Spectral-Spatial Hyperspectral Image Classification
Xiufang Li, Qigong Sun, Lingling Li +3
Exploiting rich spatial and spectral features contributes to improve the classification accuracy of hyperspectral images (HSIs). In this paper, based on the mechanism of the popula…
Semi-supervised Complex-valued GAN for Polarimetric SAR Image Classification
Qigong Sun, Xiufang Li, Lingling Li +3
Polarimetric synthetic aperture radar (PolSAR) images are widely used in disaster detection and military reconnaissance and so on. However, their interpretation faces some challeng…
Multi-Precision Quantized Neural Networks via Encoding Decomposition of -1 and +1
Qigong Sun, Fanhua Shang, Kang Yang +3
The training of deep neural networks (DNNs) requires intensive resources both for computation and for storage performance. Thus, DNNs cannot be efficiently applied to mobile phones…