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Formation control with collision avoidance through deep reinforcement learning using model-guided demonstration 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2021, 卷号: 32, 期号: 6, 页码: 2358-2372
作者:  Zezhi Sui;  Zhiqiang Pu;  Jianqiang Yi;  Shiguang Wu
Adobe PDF(5344Kb)  |  收藏  |  浏览/下载：262/85  |  提交时间：2022/04/02
Collision avoidance  deep reinforcement learning (DRL)  formation control  leader–follower  
Beyond Crack: Fine-Grained Pavement Defect Segmentation Using Three-Stream Neural Networks 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2021, 卷号: /, 期号: /, 页码: /
作者:  Zhang, Yujia;  Wu, Junxian;  Li, Qianzhong;  Zhao, Xiaoguang;  Tan, Min
Adobe PDF(12585Kb)  |  收藏  |  浏览/下载：366/61  |  提交时间：2022/04/02
Fine-grained defect segmentation  Crack detection  Semantic segmentation  Pavement inspection  
Scene Coordinate Regression Network With Global Context-Guided Spatial Feature Transformation for Visual Relocalization 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2021, 卷号: 6, 期号: 3, 页码: 5737-5744
作者:  Guan, Peiyu;  Cao, Zhiqiang;  Yu, Junzhi;  Zhou, Chao;  Tan, Min
Adobe PDF(2399Kb)  |  收藏  |  浏览/下载：351/63  |  提交时间：2021/08/15
Scene coordinate regression network  global context  spatial feature transformation  visual relocalization  
Efficient Parallel Branch Network With Multi-Scale Feature Fusion for Real-Time Overhead Power Line Segmentation 期刊论文
IEEE SENSORS JOURNAL, 2021, 卷号: 21, 期号: 10, 页码: 12220-12227
作者:  Gao, Zishu;  Yang, Guodong;  Li, En;  Liang, Zize;  Guo, Rui
Adobe PDF(1352Kb)  |  收藏  |  浏览/下载：410/74  |  提交时间：2021/06/07
Convolution  Feature extraction  Image segmentation  Inspection  Wires  Sensors  Real-time systems  Real-time segmentation  lightweight network  dilated depth-wise convolution  power line inspection  
Robot learning through observation via coarse-to-fine grained video summarization 期刊论文
APPLIED SOFT COMPUTING, 2021, 卷号: 99, 期号: /, 页码: 106913
作者:  Zhang, Yujia;  Li, Qianzhong;  Zhao, Xiaoguang;  Tan, Min
Adobe PDF(5989Kb)  |  收藏  |  浏览/下载：383/80  |  提交时间：2021/03/08
Robotic vision  Learning through observation  Coarse-to-fine video summarization  
Object Reconstruction Based on Attentive Recurrent Network from Single and Multiple Images 期刊论文
NEURAL PROCESSING LETTERS, 2021, 期号: 53, 页码: 18
作者:  Gao, Zishu;  Li, En;  Wang, Zhe;  Yang, Guodong;  Lu, Jiwu;  Ouyang, Bo;  Xu, Dawei;  Liang, Zize
Adobe PDF(1338Kb)  |  收藏  |  浏览/下载：313/67  |  提交时间：2021/03/01
Object reconstruction  Convolutional LSTM  Visual attention  Robotic application