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A cooperation and decision-making framework in dynamic confrontation for multi-agent systems 期刊论文
Computers and Electrical Engineering, 2024, 页码: 118
作者:  Lexing Wang;  Tenghai Qiu;  Zhiqiang Pu;  Jianqiang Yi
Adobe PDF(1302Kb)  |  收藏  |  浏览/下载：20/5  |  提交时间：2024/06/06
Multi-Agent Hierarchical Cognition Difference Policy for Multi-Agent Cooperation 期刊论文
Algorithms, 2021, 期号: 14, 页码: 98
作者:  Huimu Wang;  Zhen Liu;  Jianqiang Yi;  Zhiqiang Pu
Adobe PDF(1155Kb)  |  收藏  |  浏览/下载：252/51  |  提交时间：2021/06/24
multiagent system  deep reinforcement learning  variational autoencoder  attention mechanism  
Novel Feature Fusion Module Based Detector for Small Insulator Defect Detection 期刊论文
IEEE SENSORS JOURNAL, 2021, 期号: 2021, 页码: ８
作者:  Gao ZS(高子舒)
Adobe PDF(2617Kb)  |  收藏  |  浏览/下载：148/52  |  提交时间：2021/06/11
insulator defect detection, anchor-free object detection, data augmentation, aerial image  
Joint Anchor-Feature Refinement for Real-Time Accurate Object Detection in Images and Videos 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2020, 卷号: 无, 期号: 无, 页码: 无
作者:  Chen, Xingyu;  Yu, Junzhi;  Kong, Shihan;  Wu, Zhengxing;  Wen, Li
浏览  |  Adobe PDF(4122Kb)  |  收藏  |  浏览/下载：248/60  |  提交时间：2020/06/08
Object detection  Neural networks  Computer vision  Deep learning  
Multi-view clustering via joint feature selection and partially constrained cluster label learning 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 93, 页码: 380-391
作者:  Yin, Qiyue;  Zhang, Junge;  Wu, Shu;  Li, Hexi
Adobe PDF(2652Kb)  |  收藏  |  浏览/下载：171/1  |  提交时间：2019/10/10
Multi-view clustering  Feature selection  Prior information  Cluster indicator  
A monocular-based navigation approach for unmanned aerial vehicle safe and autonomous transmission-line inspection 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2019, 卷号: 16, 期号: 1, 页码: 16
作者:  Hui, Xiaolong;  Bian, Jiang;  Zhao, Xiaoguang;  Tan, Min
Adobe PDF(2092Kb)  |  收藏  |  浏览/下载：329/1  |  提交时间：2019/07/12
UAV  safety navigation approach  intelligent transmission-line inspection  monocular vision