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Covariant Peak Constraint for Accurate Keypoint Detection and Keypoint-Specific Descriptor Learning 期刊论文
IEEE Transactions on Multimedia, 2024, 卷号: 26, 页码: 5383 - 5397
作者:  Fu Yujie;  Zhang Pengju;  Tang Fulin;  Wu Yihong
Adobe PDF(15150Kb)  |  收藏  |  浏览/下载：54/13  |  提交时间：2024/05/28
Image Matching  Local Feature Extraction  Covariant Peak Constraint  Conditional Neural Reprojection Error  
Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1022-1038
作者:  Xiao Xue;  Deyu Zhou;  Xiangning Yu;  Gang Wang;  Juanjuan Li;  Xia Xie;  Lizhen Cui;  Fei-Yue Wang
Adobe PDF(7239Kb)  |  收藏  |  浏览/下载：72/17  |  提交时间：2024/03/18
Agent-based modeling  computational experiments  cyber-physical-social systems (CPSS)  generative deduction  generative experiments  meta model  
BSS-TFNet: Attention-Enhanced Background Signal Suppression Network for Time-Frequency Spectrum in Magnetic Particle Imaging 期刊论文
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2023, 页码: 15
作者:  Wei, Zechen;  Liu, Yanjun;  Zhu, Tao;  Yang, Xin;  Tian, Jie;  Hui, Hui
Adobe PDF(6094Kb)  |  收藏  |  浏览/下载：105/5  |  提交时间：2024/02/22
Magnetic particle imaging  deep learning  self-attention mechanism  time-frequency spectrum  background signal  
Multi-level consistency regularization for domain adaptive object detection 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2023, 页码: 18003–18018
作者:  Tian, Kun;  Zhang, Chenghao;  Wang, Ying;  Xiang, Shiming
Adobe PDF(2628Kb)  |  收藏  |  浏览/下载：54/5  |  提交时间：2023/11/17
Consistency regularization  Object detection  Domain adaptation  
3D Shape Reconstruction of Lumbar Vertebra from Two X-ray Images and a CT Model 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2019, 卷号: 7, 期号: 10, 页码: 1-10
作者:  Fang, Longwei;  Wang, Zuowei;  Chen, Zhiqiang;  Jian, Fengzeng;  Li, Shuo;  He, Huiguang
Adobe PDF(5609Kb)  |  收藏  |  浏览/下载：451/124  |  提交时间：2019/07/01
3d Reconstruction  Vertebra Model  X-ray Image  2d/3d Registration  2d/2d Registration