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中国科学院沈阳自动化研究所机构知识库
Knowledge Management System of Shenyang Institute of Automation, CAS
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基于在线学习的多任务方法研究
学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2019
Authors:
孙干
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View/Download:155/42
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Submit date:2019/12/12
终身机器学习
多任务学习
在线学习
度量学习
迁移学习
基于深度学习的图像恢复算法研究
学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2019
Authors:
王强
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Submit date:2019/12/12
卷积神经网络
图像恢复
卷积循环网络
生成对抗网络
基于改进Faster R-CNN的子弹外观缺陷检测技术研究
学位论文
硕士, 沈阳: 中国科学院沈阳自动化研究所, 2019
Authors:
马晓云
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Submit date:2019/07/14
目标检测
Faster R-CNN
子弹外观缺陷
K-means++
卷积神经网络
基于三维点云的目标识别与定位方法研究
学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2019
Authors:
鲁荣荣
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Submit date:2019/07/14
目标识别
点云分割
点对特征
三维局部特征
几何约束
Enhanced Autonomous Exploration and Mapping of an Unknown Environment with the Fusion of Dual RGB-D Sensors
期刊论文
Engineering, 2019, 卷号: 5, 期号: 1, 页码: 164-172
Authors:
Yu NB(于宁波)
;
Wang SR(王石荣)
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Submit date:2019/02/24
Autonomous exploration
RGB-DSensor fusion
Point cloud
Partial map simulation
Global frontier search
Phase unwrapping in optical metrology via denoised and convolutional segmentation networks
期刊论文
OPTICS EXPRESS, 2019, 卷号: 27, 期号: 10, 页码: 14903-14912
Authors:
Zhang JC(张俊超)
;
Tian, Xiaobo
;
Shao, Jianbo
;
Luo HB(罗海波)
;
Liang, Rongguang
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Submit date:2019/06/18
结合YOLO检测和语义分割的驾驶员安全带检测
期刊论文
计算机辅助设计与图形学学报, 2019, 卷号: 31, 期号: 1, 页码: 126-131
Authors:
吴天舒
;
张志佳
;
刘云鹏
;
郭婉妍
;
王子韬
Adobe PDF(930Kb)
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Submit date:2019/02/09
安全带检测
语义分割
交通视频监控
深度学习
一种板型物体混叠场景的快速分割算法
期刊论文
光学学报, 2019, 卷号: 39, 期号: 4, 页码: 1-10
Authors:
鲁荣荣
;
朱枫
;
吴清潇
;
崔芸阁
;
孔研自
;
陈佛计
Adobe PDF(1655Kb)
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Submit date:2018/12/24
机器视觉
点云分割
深度图
随机采样一致性算法
Hybrid incremental learning of new data and new classes for hand-held object recognition
期刊论文
Journal of Visual Communication and Image Representation, 2019, 卷号: 58, 页码: 138-148
Authors:
Chen, Chengpeng
;
Min WQ(闵巍庆)
;
Li, Xue
;
Jiang SQ(蒋树强)
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Submit date:2018/12/16
Incremental learning
Object recognition
SVM
Human-machine interaction
Microscopic Machine Vision Based Degradation Monitoring of Low-Voltage Electromagnetic Coil Insulation Using Ensemble Learning in a Membrane Computing Framework
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 97216-97241
Authors:
Li C(李晨)
;
Kong FJ(孔樊杰)
;
Wang K(王锴)
;
Xu AD(徐皑冬)
;
Zhang, Gexiang
;
Xu, Ning
;
Liu ZH(刘志华)
;
Guo HF(郭海丰)
;
Wang, Xue
;
Liang, Kuan
;
Yuan, Jianying
;
Qi, Shouliang
;
Jiang T(蒋涛)
Adobe PDF(6392Kb)
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Submit date:2019/08/29
Low-voltage electromagnetic coil
insulation degradation monitoring
ensemble learning
machine vision
membrane computing
microscopic image analysis
feature extraction