中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共17条，第1-10条 帮助

限定条件                    
已选(0)清除 条数/页：   排序方式：
RI-LIO: Reflectivity Image Assisted Tightly-Coupled LiDAR-Inertial Odometry 期刊论文
IEEE Robotics and Automation Letters, 2023, 卷号: 8, 期号: 3, 页码: 1802-1809
作者:  Yanfeng Zhang;  Yunong Tian;  Wanguo Wang;  Guodong Yang;  Zhishuo Li;  Fengshui Jing;  Min Tan
Adobe PDF(7657Kb)  |  收藏  |  浏览/下载：110/0  |  提交时间：2023/04/27
Diagnosis of Typical Apple Diseases: A Deep Learning Method Based on MultiScale Dense Classification Network 期刊论文
Frontiers in Plant Science, 2021, 期号: 12, 页码: 1-12
作者:  Tian YN(田雨农)
Adobe PDF(4280Kb)  |  收藏  |  浏览/下载：182/30  |  提交时间：2022/01/07
apple disease diagnosis  Cycle-GAN  Multi-scale connection  DenseNet  deep learning  
Diagnosis of Typical Apple Diseases: A Deep Learning Method Based on Multi-Scale Dense Classification Network 期刊论文
FRONTIERS IN PLANT SCIENCE, 2021, 卷号: 12, 页码: 12
作者:  Tian, Yunong;  Li, En;  Liang, Zize;  Tan, Min;  He, Xiongkui
Adobe PDF(4280Kb)  |  收藏  |  浏览/下载：190/0  |  提交时间：2021/12/28
apple disease diagnosis  Cycle-GAN  Multi-scale connection  DenseNet  deep learning  
Extremely Lightweight Skeleton-Based Action Recognition With ShiftGCN plus 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 7333-7348
作者:  Cheng, Ke;  Zhang, Yifan;  He, Xiangyu;  Cheng, Jian;  Lu, Hanqing
Adobe PDF(3205Kb)  |  收藏  |  浏览/下载：264/14  |  提交时间：2021/11/03
Skeleton-based action recognition  graph convolutional network  lightweight network  shift network  
Environment Perception Technologies for Power Transmission Line Inspection Robots 期刊论文
JOURNAL OF SENSORS, 2021, 卷号: 2021, 页码: 16
作者:  Chen, Minghao;  Tian, Yunong;  Xing, Shiyu;  Li, Zhishuo;  Li, En;  Liang, Zize;  Guo, Rui
Adobe PDF(2248Kb)  |  收藏  |  浏览/下载：126/0  |  提交时间：2021/06/07
A Novel Sparse Geometric 3-D LiDAR Odometry Approach 期刊论文
IEEE SYSTEMS JOURNAL, 2021, 卷号: 15, 期号: 1, 页码: 1390-1400
作者:  Liang, Shuang;  Cao, Zhiqiang;  Guan, Peiyu;  Wang, Chengpeng;  Yu, Junzhi;  Wang, Shuo
Adobe PDF(4597Kb)  |  收藏  |  浏览/下载：339/69  |  提交时间：2021/05/06
Laser radar  Feature extraction  Simultaneous localization and mapping  Three-dimensional displays  Computational complexity  Distance measurement  Lighting  Line and plane features  line-to-line and plane-to-plane associations  sparse geometric map  3-D light detection and ranging (LiDAR) odometry  
Robot learning through observation via coarse-to-fine grained video summarization 期刊论文
APPLIED SOFT COMPUTING, 2021, 卷号: 99, 期号: /, 页码: 106913
作者:  Zhang, Yujia;  Li, Qianzhong;  Zhao, Xiaoguang;  Tan, Min
Adobe PDF(5989Kb)  |  收藏  |  浏览/下载：354/73  |  提交时间：2021/03/08
Robotic vision  Learning through observation  Coarse-to-fine video summarization  
Unsupervised Network Quantization via Fixed-Point Factorization 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2020, 期号: 1, 页码: 1
作者:  Wang, Peisong;  He, Xiangyu;  Chen, Qiang;  Cheng, Anda;  Liu, Qingshan;  Cheng, Jian
Adobe PDF(1998Kb)  |  收藏  |  浏览/下载：209/51  |  提交时间：2020/10/20
Acceleration , compression , deep neural networks (DNNs) , fixed-point quantization , unsupervised quantization.  
An enhancement of task scheduling in cloud computing based on imperialist competitive algorithm and firefly algorithm 期刊论文
JOURNAL OF SUPERCOMPUTING, 2020, 卷号: 76, 期号: 8, 页码: 6302-6329
作者:  Kashikolaei, Seyedeh Monireh Ggasemnezhad;  Hosseinabadi, Ali Asghar Rahmani;  Saemi, Behzad;  Shareh, Morteza Babazadeh;  Sangaiah, Arun Kumar;  Bian, Gui-Bin
收藏  |  浏览/下载：193/0  |  提交时间：2020/08/21
Cloud computing  Task scheduling  Load balancing  Imperialist competitive algorithm  Firefly algorithm  
A novel quality-of-service-aware web services composition using biogeography-based optimization algorithm 期刊论文
SOFT COMPUTING, 2020, 卷号: 24, 期号: 11, 页码: 8125-8137
作者:  Sangaiah, Arun Kumar;  Bian, Gui-Bin;  Bozorgi, Seyed Mostafa;  Suraki, Mohsen Yaghoubi;  Hosseinabadi, Ali Asghar Rahmani;  Shareh, Morteza Babazadeh
收藏  |  浏览/下载：200/0  |  提交时间：2020/06/22
Web services composition  Web service  Quality of service  Biogeography-based optimization  Cloud computing