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Session:   V2.6-1 Classification and Pattern Recognition (Parametric and Non-parametric) 1 (Virtual)
Co-Chair(s):   Igor Kvasić
Day:   Thursday, September 23, 2021
Time:   11:30 AM - 12:50 PM local Porto time zone (GMT+1)
Room:   Virtual Room 3  

PAPERS

 
Presenting Author:   Hao WangChina University of Petroleum (East China)
Paper Title:   A YOLOv5 Baseline for Underwater Object Detection
 
Author(s):   Hao Wang, China University of Petroleum (East China)
Shixin Sun, China University of Petroleum (East China)
Xiaohui Wu, China University of Petroleum (East China)
Li Li, China University of Petroleum (East China)
Hao Zhang, Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences)
Mingjie Li, South China Sea Institute of Planning and Environmental Research, State Oceanic Administration
Peng Ren, China University of Petroleum (East China)

 
 
Presenting Author:   Yuhua XiaoSoutheast University
Paper Title:   CNN-based Automatic Modulation Classification Over Underwater Acoustic Channels
 
Author(s):   Yuhua Xiao, Southeast University
Yifeng Zhang, Southeast University
Jun Tao, Southeast University
Hongli Cao, Southeast University
Yanjun Wu, Southeast University
Yongjie Qiao, Pengcheng Lab

 
 
Presenting Author:   Leixin NieInstitute of Acoustics, Chinese Academy of Sciences
Paper Title:   Open-Set Recognition for Deep Neural Networks-based Underwater Acoustic Target Classification
 
Author(s):   Leixin Nie, Institute of Acoustics, Chinese Academy of Sciences
Chao Li, Institute of Acoustics, Chinese Academy of Sciences
Haibin Wang, Institute of Acoustics, Chinese Academy of Sciences
Franck Marzani, ImViA EA7535, Université Bourgogne Franche-Comté

 
 
Presenting Author:   Maokai WuOcean University of China
Paper Title:   Target Detection for RD Images of HFSWR Based on CNN-ELM Model
 
Author(s):   Maokai Wu, Ocean University of China
Maokai Wu, Ocean University of China
Jiong Niu, Ocean University of China
Ling Zhang, Ocean University of China
Q. M. Jonathan Wu, University of Windsor
Chenlu Shi, Ocean University of China
Jingzhi Zhang, Ocean University of China

 
 
Presenting Author:   Xue YuanInstitute of Acoustics, University of Chinese Academy of Sciences
Paper Title:   Toward Alleviating the Data Sparsity Problem of Deep Learning Based Underwater Target Classification
 
Author(s):   Xue Yuan, Institute of Acoustics, University of Chinese Academy of Sciences
Jiawei Ren, Institute of Acoustics, University of Chinese Academy of Sciences
Gaofeng Cheng, Institute of Acoustics, University of Chinese Academy of Sciences
Ji Xu, Institute of Acoustics, University of Chinese Academy of Sciences

 
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