43 citations · 84 across the 9 of their papers we have counts for
14 papers
The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion
Meiyu Huang, Yao Xu, Lixin Qian +6
Deep learning techniques have made an increasing impact on the field of remote sensing. However, deep neural networks based fusion of multimodal data from different remote sensors…
Adversarial YOLO: Defense Human Detection Patch Attacks via Detecting Adversarial Patches
Nan Ji, YanFei Feng, Haidong Xie +2
The security of object detection systems has attracted increasing attention, especially when facing adversarial patch attacks. Since patch attacks change the pixels in a restricted…
Boosting ship detection in SAR images with complementary pretraining techniques
Wei Bao, Meiyu Huang, Yaqin Zhang +3
Deep learning methods have made significant progress in ship detection in synthetic aperture radar (SAR) images. The pretraining technique is usually adopted to support deep neural…
A Neural Network with Plane Wave Activation for Helmholtz Equation
Ziming Wang, Tao Cui, Xueshuang Xiang
This paper proposes a plane wave activation based neural network (PWNN) for solving Helmholtz equation, the basic partial differential equation to represent wave propagation, e.g.…
An adaptive high-order unfitted finite element method for elliptic interface problems
Zhiming Chen, Ke Li, Xueshuang Xiang
We design an adaptive unfitted finite element method on the Cartesian mesh with hanging nodes. We derive an hp-reliable and efficient residual type a posteriori error estimate on K…
How Does GAN-based Semi-supervised Learning Work?
Xuejiao Liu, Xueshuang Xiang
Generative adversarial networks (GANs) have been widely used and have achieved competitive results in semi-supervised learning. This paper theoretically analyzes how GAN-based semi…