3 citations · 3 across the 5 of their papers we have counts for
5 papers
Multi-faceted Graph Attention Network for Radar Target Recognition in Heterogeneous Radar Network
Han Meng, Yuexing Peng, Wei Xiang +2
Radar target recognition (RTR), as a key technology of intelligent radar systems, has been well investigated. Accurate RTR at low signal-to-noise ratios (SNRs) still remains an ope…
Spatio-Temporal-Frequency Graph Attention Convolutional Network for Aircraft Recognition Based on Heterogeneous Radar Network
Han Meng, Yuexing Peng, Wenbo Wang +3
This paper proposes a knowledge-and-data-driven graph neural network-based collaboration learning model for reliable aircraft recognition in a heterogeneous radar network. The airc…
TE-YOLOF: Tiny and efficient YOLOF for blood cell detection
Fanxin Xu, Xiangkui Li, Hang Yang +2
Blood cell detection in microscopic images is an essential branch of medical image processing research. Since disease detection based on manual checking of blood cells is time-cons…
DPN-SENet:A self-attention mechanism neural network for detection and diagnosis of COVID-19 from chest x-ray images
Bo Cheng, Ruhui Xue, Hang Yang +2
Background and Objective: The new type of coronavirus is also called COVID-19. It began to spread at the end of 2019 and has now spread across the world. Until October 2020, It has…
AGSFCOS: Based on attention mechanism and Scale-Equalizing pyramid network of object detection
Li Wang, Wei Xiang, Ruhui Xue +2
Recently, the anchor-free object detection model has shown great potential for accuracy and speed to exceed anchor-based object detection. Therefore, two issues are mainly studied…