no code implementations • 12 Apr 2024 • Hongtao Wang, Li Long, Jiangshe Zhang, Xiaoli Wei, Chunxia Zhang, Zhenbo Guo
Addressing this, we propose a novel approach using deep graph learning called DGL-FB, constructing a large graph to efficiently extract information.
no code implementations • 23 May 2023 • Hongtao Wang, Jiangshe Zhang, Xiaoli Wei, Li Long, Chunxia Zhang
Many deep neural networks (DNNs)-based automatic picking methods have been proposed to accelerate this processing.
no code implementations • 7 Sep 2022 • Hongtao Wang, Jiangshe Zhang, Xiaoli Wei, Chunxia Zhang, Zhenbo Guo, Li Long, Yicheng Wang
Besides, since the gather data is a set of signals which are greatly different from the natural images, it is difficult for the current method to solve the FAT picking problem in case of a low Signal to Noise Ratio (SNR).