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航天器威胁规避智能自主控制技术研究综述 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 2, 页码: 229-245
Authors:  袁利;  姜甜甜
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轨道威胁感知  自主决策规划  “感知-决策-执行”一体化  航天器智能自主控制  
X射线工业CT成像过程复杂伪影抑制方法综述 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 4, 页码: 687-704
Authors:  杨富强;  杨瑶;  李志翔;  黄魁东
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工业CT  伪影抑制  深度学习  智能检测  
面向复杂工业过程的虚拟样本生成综述 期刊论文
自动化学报, 2024, 卷号: 50, 期号: 4, 页码: 688-718
Authors:  汤健;  崔璨麟;  夏恒;  乔俊飞
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复杂工业过程  虚拟样本生成  数据驱动建模  样本覆盖区域  
基于元学习的双目深度估计在线适应算法 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 7, 页码: 1446-1455
Authors:  张振宇;  杨健
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深度估计  在线学习  元学习  域适应算法  深度神经网络  
基于模糊核估计的图像盲超分辨率神经网络 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 10, 页码: 2109-2121
Authors:  李公平;  陆耀;  王子建;  吴紫薇;  汪顺舟
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模糊图像  模糊核估计  卷积神经网络  盲超分辨率  
The Life Cycle of Knowledge in Big Language Models: A Survey 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 217-238
Authors:  Boxi Cao;  Hongyu Lin;  Xianpei Han;  Le Sun
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Pre-trained language model, knowledge acquisition, knowledge representation, knowledge probing, knowledge editing, knowledge application  
A Knowledge-enhanced Two-stage Generative Framework for Medical Dialogue Information Extraction 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 153-168
Authors:  Zefa Hu;  Ziyi Ni;  Jing Shi;  Shuang Xu;  Bo Xu
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Medical dialogue understanding, information extraction, text generation, knowledge-enhanced prompt, low-resource setting, data augmentation  
Deep Industrial Image Anomaly Detection: A Survey 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 104-135
Authors:  Jiaqi Liu;  Guoyang Xie;  Jinbao Wang;  Shangnian Li;  Chengjie Wang;  Feng Zheng;  Yaochu Jin
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Image anomaly detection, defect detection, industrial manufacturing, deep learning, computer vision  
Weakly Supervised Object Localization with Background Suppression Erasing for Art Authentication and Copyright Protection 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 89-103
Authors:  Chaojie Wu;  Mingyang Li;  Ying Gao;  Xinyan Xie;  Wing W. Y. Ng;  Ahmad Musyafa
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Weakly supervised object localization, erasing method, deep learning, computer vision, art authentication and copyright protection  
AI for Supporting the Freedom of Drawing 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 63-88
Authors:  Xiaohua Sun;  Juexiao Qin
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Intention understanding, drawing support, drawing, art, human-artificial intelligence (AI) collaboration