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A LiDAR Point Clouds Dataset of Ships in a Maritime Environment 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1681-1694
作者:  Qiuyu Zhang;  Lipeng Wang;  Hao Meng;  Wen Zhang;  Genghua Huang
Adobe PDF(10728Kb)  |  收藏  |  浏览/下载：16/8  |  提交时间：2024/06/07
3D point clouds dataset  dynamic tail wave  fog simulation  rainy simulation  simulated data  
Low-Rank Optimal Transport for Robust Domain Adaptation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1667-1680
作者:  Bingrong Xu;  Jianhua Yin;  Cheng Lian;  Yixin Su;  Zhigang Zeng
Adobe PDF(3368Kb)  |  收藏  |  浏览/下载：16/9  |  提交时间：2024/06/07
Domain adaptation  low-rank constraint  noise corruption  optimal transport  
Discovering Latent Variables for the Tasks With Confounders in Multi-Agent Reinforcement Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1591-1604
作者:  Kun Jiang;  Wenzhang Liu;  Yuanda Wang;  Lu Dong;  Changyin Sun
Adobe PDF(2128Kb)  |  收藏  |  浏览/下载：15/6  |  提交时间：2024/06/07
Latent variable model  maximum entropy  multi-agent reinforcement learning (MARL)  multi-agent system  
Dual Frequency Transformer for Efficient SDR-to-HDR Translation 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 538-548
作者:  Gang Xu;  Qibin Hou;  Ming-Ming Cheng
Adobe PDF(2981Kb)  |  收藏  |  浏览/下载：36/16  |  提交时间：2024/05/23
Standard-dynamic-range to high-dynamic-range (SDR-to-HDR) translation, Transformer, dual frequency attention (DFA), frequency-aware feature decomposition, efficient model  
Structural Dependence Learning Based on Self-attention for Face Alignment 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 514-525
作者:  Biying Li;  Zhiwei Liu;  Wei Zhou;  Haiyun Guo;  Xin Wen;  Min Huang;  Jinqiao Wang
Adobe PDF(5139Kb)  |  收藏  |  浏览/下载：40/17  |  提交时间：2024/05/23
Computer vision, face alignment, self-attention, facial structure, contextual information  
Parsing Objects at a Finer Granularity: A Survey 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 431-451
作者:  Yifan Zhao;  Jia Li;  Yonghong Tian
Adobe PDF(1743Kb)  |  收藏  |  浏览/下载：14/7  |  提交时间：2024/05/23
Finer granularity, visual parsing, part segmentation, fine-grained object recognition, part relationship  
Distributed Deep Reinforcement Learning: A Survey and a Multi-player Multi-agent Learning Toolbox 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 411-430
作者:  Qiyue Yin;  Tongtong Yu;  Shengqi Shen;  Jun Yang;  Meijing Zhao;  Wancheng Ni;  Kaiqi Huang;  Bin Liang;  Liang Wang
Adobe PDF(2923Kb)  |  收藏  |  浏览/下载：23/10  |  提交时间：2024/05/23
Deep reinforcement learning, distributed machine learning, self-play, population-play, toolbox  
Industry-oriented Detection Method of PCBA Defects Using Semantic Segmentation Models 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1438-1446
作者:  Yang Li;  Xiao Wang;  Zhifan He;  Ze Wang;  Ke Cheng;  Sanchuan Ding;  Yijing Fan;  Xiaotao Li;  Yawen Niu;  Shanpeng Xiao;  Zhenqi Hao;  Bin Gao;  Huaqiang Wu
Adobe PDF(12898Kb)  |  收藏  |  浏览/下载：18/5  |  提交时间：2024/05/22
Automated optical inspection (AOI)  deep learning  defect detection  printed circuit board assembly (PCBA)  semantic segmentation  
A Two-layer Encoding Learning Swarm Optimizer based on Frequent Itemsets for Sparse Large-scale Multi-objective Optimization 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1342-1357
作者:  Sheng Qi;  Rui Wang;  Tao Zhang;  Xu Yang;  Ruiqing Sun;  Ling Wang
Adobe PDF(3038Kb)  |  收藏  |  浏览/下载：25/8  |  提交时间：2024/05/22
Evolutionary algorithms  learning swarm optimization  sparse large-scale optimization  sparse large-scale multi-objective problems  two-layer encoding  
Uncertainty-aware Deep Learning: A Promising Tool for Trustworthy Fault Diagnosis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1317-1330
作者:  Jiaxin Ren;  Jingcheng Wen;  Zhibin Zhao;  Ruqiang Yan;  Xuefeng Chen;  Asoke K. Nandi
Adobe PDF(16165Kb)  |  收藏  |  浏览/下载：17/4  |  提交时间：2024/05/22
Out-of-distribution detection  traceability analysis  trustworthy fault diagnosis  uncertainty quantification