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SASOD: Saliency-Aware Ship Object Detection in High-Resolution Optical Images 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 15
作者:  Ren, Zhida;  Tang, Yongqiang;  Yang, Yang;  Zhang, Wensheng
Adobe PDF(5807Kb)  |  收藏  |  浏览/下载：19/2  |  提交时间：2024/07/03
ship detection  Saliency detection  high-resolution optical images  remote sensing  Deep learning  Feature extraction  Marine vehicles  Object detection  Remote sensing  Optical sensors  Optical imaging  saliency detection  
Stage-Aware Hierarchical Attentive Relational Network for Diagnosis Prediction 期刊论文
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, 卷号: 36, 期号: 4, 页码: 1773-1784
作者:  Liping Wang;  Qiang Liu;  Mengqi Zhang;  Yaxuan Hu;  Shu Wu;  Liang Wang
Adobe PDF(2088Kb)  |  收藏  |  浏览/下载：37/14  |  提交时间：2024/06/21
Medical diagnostic imaging  Knowledge graphs  Ontologies  Codes  Data models  Predictive models  Graph neural networks  Diagnosis prediction  electronic health record  knowledge graph  relational graph neural network  
The survey on multi-source data fusion in cyber-physical-social systems: Foundational infrastructure for industrial metaverses and industries 5.0 期刊论文
Information Fusion, 2024, 卷号: 107, 页码: 1-16
作者:  Xiao Wang;  Yutong Wang;  Jing Yang;  Xiaofeng Jia;  Lijun Li;  Weiping Ding;  Fei-Yue Wang
Adobe PDF(4446Kb)  |  收藏  |  浏览/下载：46/7  |  提交时间：2024/06/06
Multi-source data fusion  CPSS  Industrial metaverses  Parallel manufacturing  Social manufacturing  
Information bottleneck based knowledge selection for commonsense reasoning 期刊论文
Information Sciences, 2024, 卷号: 660, 页码: 120134
作者:  Zhao Yang;  Yuanzhe Zhang;  Pengfei Cao;  Cao Liu;  Jiansong Chen;  Jun Zhao;  Kang Liu
Adobe PDF(1069Kb)  |  收藏  |  浏览/下载：51/17  |  提交时间：2024/05/30
Commonsense reasoning  Knowledge selection  Information bottleneck  KG-augmented model  
GAN-Based Facial Attribute Manipulation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 14590-14610
作者:  Liu, Yunfan;  Li, Qi;  Deng, Qiyao;  Sun, Zhenan;  Yang, Ming-Hsuan
Adobe PDF(15297Kb)  |  收藏  |  浏览/下载：100/27  |  提交时间：2024/02/22
Generative adversarial networks  image translation  facial attribute manipulation  
Key-Part Attention Retrieval for Robotic Object Recognition 期刊论文
TSINGHUA SCIENCE AND TECHNOLOGY, 2024, 卷号: 29, 期号: 3, 页码: 644-655
作者:  Liu, Jierui;  Cao, Zhiqiang;  Tang, Yingbo
Adobe PDF(2164Kb)  |  收藏  |  浏览/下载：116/17  |  提交时间：2024/02/22
Training  Visualization  Image recognition  Cameras  Object recognition  Convolutional neural networks  Data mining  key-part attention  retrieval  robotic object recognition  
SpatioTemporal Inference Network for Precipitation Nowcasting With Multimodal Fusion 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 1299-1314
作者:  Jin, Qizhao;  Zhang, Xinbang;  Xiao, Xinyu;  Wang, Ying;  Meng, Gaofeng;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(8766Kb)  |  收藏  |  浏览/下载：88/8  |  提交时间：2024/02/21
Data mining  multimodal knowledge discovery  precipitation nowcasting  
Advancements in Humanoid Robots: A Comprehensive Review and Future Prospects 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 301-328
作者:  Yuchuang Tong;  Haotian Liu;  Zhengtao Zhang
Adobe PDF(7587Kb)  |  收藏  |  浏览/下载：164/45  |  提交时间：2024/01/23
Future trends and challenges  humanoid robots  human-robot interaction  key technologies  potential applications  
Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining 期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2023, 卷号: 14, 期号: 5, 页码: 21
作者:  Zhu, Yanqiao;  Xu, Yichen;  Yu, Feng;  Liu, Qiang;  Wu, Shu
Adobe PDF(1686Kb)  |  收藏  |  浏览/下载：103/5  |  提交时间：2023/12/21
Cluster-aware self-training and refining  unsupervised learning  graph representation learning  
IDO: Instance dual-optimization for weakly supervised object detection 期刊论文
APPLIED INTELLIGENCE, 2023, 页码: 18
作者:  Ren, Zhida;  Tang, Yongqiang;  Zhang, Wensheng
Adobe PDF(3668Kb)  |  收藏  |  浏览/下载：76/7  |  提交时间：2023/11/17
Deep learning  Weakly supervised learning  Object detection  Multiple instance learning