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CASIA OpenIR

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Visual Reconstruction and Localization-Based Robust Robotic 6-DoF Grasping in the Wild 期刊论文
IEEE ACCESS, 2021, 卷号: 9, 期号: 99, 页码: 72451-72464
作者:  Liang, Ji;  Zhang, Jiguang;  Pan, Bingbing;  Xu, Shibiao;  Zhao, Guangheng;  Yu, Ge;  Zhang, Xiaopeng
Adobe PDF(7490Kb)  |  收藏  |  浏览/下载：335/58  |  提交时间：2021/06/15
Grasping  Three-dimensional displays  Manipulators  Pose estimation  Solid modeling  Service robots  Feature extraction  Robotic grasping  manipulator  6-DoF pose estimation  point cloud reconstruction  
Progressive Joint Framework for Chinese Question Entity Discovery and Linking With Question Representations 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 期号: -, 页码: 146282-146300
作者:  Lin, Ziqi;  Zhang, Haidong;  Ni, Wancheng;  Yang, Yiping
浏览  |  Adobe PDF(3302Kb)  |  收藏  |  浏览/下载：296/74  |  提交时间：2020/03/30
Entity discovery and linking  information extraction  joint method  natural language processing  question representation model  
Joint Feature and Similarity Deep Learning for Vehicle Re-identification 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 43724-43731
作者:  Zhu, Jianqing;  Zeng, Huanqiang;  Du, Yongzhao;  Lei, Zhen;  Zheng, Lixin;  Cai, Canhui
收藏  |  浏览/下载：187/0  |  提交时间：2019/12/16
Vehicle Re-identification  Feature Representation  Similarity Learning  Deep Learning  
Inductive Zero-Shot Image Annotation via Embedding Graph 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 107816-107830
作者:  Wang, Fangxin;  Liu, Jie;  Zhang, Shuwu;  Zhang, Guixuan;  Li, Yuejun;  Yuan, Fei
浏览  |  Adobe PDF(1472Kb)  |  收藏  |  浏览/下载：340/86  |  提交时间：2019/10/08
Contextualized word embeddings  graph convolutional network  image annotation  Node2Vec  zero-shot  
Lithium-Ion Cell Screening W th Convolutional Neural Networks Based on Two-Step Time-Series Clustering and Hybrid Resampling for Imbalanced Data 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 期号: 无, 页码: 59001-59014
作者:  Liu, Chengbao;  Tan, Jie;  Shi, Heyuan;  Wang, Xuelei
浏览  |  Adobe PDF(19745Kb)  |  收藏  |  浏览/下载：369/69  |  提交时间：2019/01/08
Lithium-ion cell screening  time-series clustering  resampling  convolutional neural networks