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Dynamic-Fusion-Based Federated Learning for COVID-19 Detection 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2021, 卷号: 8, 期号: 21, 页码: 15884-15891
作者:  Zhang, Weishan;  Zhou, Tao;  Lu, Qinghua;  Wang, Xiao;  Zhu, Chunsheng;  Sun, Haoyun;  Wang, Zhipeng;  Lo, Sin Kit;  Wang, Fei-Yue
收藏  |  浏览/下载：261/0  |  提交时间：2022/01/27
Data models  COVID-19  Training  Collaborative work  Analytical models  Servers  Predictive models  AI  COVID-19  CT  federated learning  image processing  machine learning  X-Ray  
Cascaded Split-and-Aggregate Learning with Feature Recombination for Pedestrian Attribute Recognition 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2021, 页码: 14
作者:  Yang, Yang;  Tan, Zichang;  Tiwari, Prayag;  Pandey, Hari Mohan;  Wan, Jun;  Lei, Zhen;  Guo, Guodong;  Li, Stan Z.
Adobe PDF(1831Kb)  |  收藏  |  浏览/下载：304/4  |  提交时间：2021/11/02
Pedestrian attribute recognition  Attention  Split-and-aggregate learning  Feature recombination  
Efficient Center Voting for Object Detection and 6D Pose Estimation in 3D Point Cloud 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 期号: 1, 页码: 5072-5084
作者:  Guo, Jianwei;  Xing, Xuejun;  Quan, Weize;  Yan, Dong-Ming;  Gu, Qingyi;  Liu, Yang;  Zhang, Xiaopeng
Adobe PDF(8313Kb)  |  收藏  |  浏览/下载：230/9  |  提交时间：2021/08/15
Three-dimensional displays  Pose estimation  Shape  Object detection  Feature extraction  Object recognition  Transmission line matrix methods  6D pose estimation  3D object recognition  point pair features  3D point cloud