2 code implementations • 11 Jan 2024 • Zhaowei Li, Qi Xu, Dong Zhang, Hang Song, Yiqing Cai, Qi Qi, Ran Zhou, Junting Pan, Zefeng Li, Van Tu Vu, Zhida Huang, Tao Wang
Beyond capturing global information like other multi-modal models, our proposed model excels at tasks demanding a detailed understanding of local information within the input.
1 code implementation • 5 Sep 2023 • Xu Si, Xinming Wu, Hanlin Sheng, Jun Zhu, Zefeng Li
Training specific deep learning models for particular tasks is common across various domains within seismology.
no code implementations • 24 Jun 2023 • Xu Si, Xinming Wu, Zefeng Li, Shenghou Wang, Jun Zhu
Overall, our study provides for the first time a prototype self-consistent all-in-one system of simultaneous seismic phase picking, association, and location, which has the potential for next-generation autonomous earthquake monitoring.
no code implementations • 18 Jan 2019 • Lijun Zhu, Zhigang Peng, James McClellan, Chenyu Li, Dongdong Yao, Zefeng Li, Lihua Fang
In this paper, we present a CNN-based Phase- Identification Classifier (CPIC) designed for phase detection and picking on small to medium sized training datasets.
no code implementations • 19 Nov 2018 • Yuan Li, Yuanjie Yu, Zefeng Li, Yangkun Lin, Meifang Xu, Jiwei Li, Xi Zhou
Recently, semantic segmentation and general object detection frameworks have been widely adopted by scene text detecting tasks.