no code implementations • 19 Jan 2024 • Hanning Su, Qinglong Bao, Jiameng Pan, Fucheng Guo, Weidong Hu
The interrupted-sampling repeater jamming (ISRJ) is coherent and has the characteristic of suppression and deception to degrade the radar detection capabilities.
no code implementations • 7 Jul 2023 • Hanning Su, Qinglong Bao, Jiameng Pan, Fucheng Guo, Weidong Hu
On this domain, an adaptive matched filtering model, known as the waveform-domain adaptive matched filtering (WD-AMF), is established to tackle the problem of ISRJ suppression without relying on a pre-existing ISRJ model.
1 code implementation • 28 Dec 2019 • Zhiqiang Gong, Ping Zhong, Weidong Hu
To overcome this problem, this work characterizes each class from the hyperspectral image as a statistical distribution and further develops a novel statistical loss with the distributions, not directly with samples for deep learning.
1 code implementation • 24 Dec 2019 • Zhiqiang Gong, Weidong Hu, Xiaoyong Du, Ping Zhong, Panhe Hu
Deep learning methods have played a more and more important role in hyperspectral image classification.
no code implementations • 13 May 2019 • Zhiqiang Gong, Ping Zhong, Weidong Hu, Zixuan Xiao, Xuping Yin
In this paper, a novel statistical metric learning is developed for spectral-spatial classification of the hyperspectral image.
no code implementations • 18 Mar 2019 • Zhiqiang Gong, Ping Zhong, Weidong Hu, Fang Liu, Bingwei Hui
Finally, joint learning of the pseudo-center loss and the pseudo softmax loss which is formulated with the samples and the pseudo labels is developed for unsupervised remote sensing scene representation to obtain discriminative representations from the scenes.
1 code implementation • ECCV 2018 • Wei Liu, Shengcai Liao, Weidong Hu, Xuezhi Liang, Xiao Chen
However, current single-stage detectors (e. g. SSD) have not presented competitive accuracy on common pedestrian detection benchmarks.
Ranked #11 on Pedestrian Detection on Caltech (using extra training data)
no code implementations • 4 Jul 2018 • Zhiqiang Gong, Ping Zhong, Weidong Hu
Even though the diversity plays an important role in machine learning process, there is no systematical analysis of the diversification in machine learning system.
1 code implementation • 10 Feb 2014 • Kang Zhang, Jiyang Li, Yijing Li, Weidong Hu, Lifeng Sun, Shiqiang Yang
In this paper, we propose a novel binary-based cost computation and aggregation approach for stereo matching problem.