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浏览/检索结果:
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发表日期:2019
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Detection of Apple Lesions in Orchards Based on Deep Learning Methods of CycleGAN and YOLOV3-Dense
期刊论文
Journal of Sensors, 2019, 期号: 2019, 页码: 1-13
作者:
Tian YN(田雨农)
Adobe PDF(26755Kb)
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浏览/下载:150/36
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提交时间:2022/01/06
optical sensors
deep learning
lesion detection
CycleGAN
DenseNet
YOLO-V3 model
Quality Inspection Based on Quadrangular Object Detection for Deep Aperture Component
期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 卷号: Early Access, 期号: Early Access, 页码: 0
作者:
Zhang JB(张家斌)
;
Zhang ZT(张正涛)
;
Su H(苏虎)
;
Zou W(邹伟)
;
Gong XY(宫新一)
;
Zhang F(张峰)
Adobe PDF(3914Kb)
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浏览/下载:251/51
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提交时间:2021/05/27
Quality Inspection
Quadrangular Object Detection
Multi-source Remote Sensing Image Registration Based on Contourlet Transform and Multiple Feature Fusion
期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 575-588
作者:
Huan Liu
;
Gen-Fu Xiao
;
Yun-Lan Tan
;
Chun-Juan Ouyang
Adobe PDF(2216Kb)
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浏览/下载:148/40
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提交时间:2021/02/22
Feature fusion
multi-scale circle Gaussian combined invariant moment
multi-direction gray level co-occurrence matrix
multi-source remote sensing image registration
contourlet transform.
A Survey of the Research Status of Pedestrian Dead Reckoning Systems Based on Inertial Sensors
期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 65-83
作者:
Yuan Wu
;
Hai-Bing Zhu
;
Qing-Xiu Du
;
Shu-Ming Tang
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Adobe PDF(1248Kb)
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浏览/下载:260/80
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提交时间:2021/02/22
Inertial measurement unit (IMU)
pedestrian dead-reckoning
indoor navigation
technical route
general framework.
Applying maximally stable extremal regions and local binary patterns for guide-wire detecting in percutaneous coronary intervention
期刊论文
IET Image Processing, 2019, 卷号: 13, 期号: 13, 页码: 2579-2586
作者:
Prasong Pusit
;
Xiaoliang,Xie
;
Zeng-Guang Hou
Adobe PDF(2646Kb)
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浏览/下载:230/67
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提交时间:2020/11/05
image sequences
blood vessels
video signal processing
object detection
Forecasting horticultural products price using ARIMA model and neural network based on a large-scale data set collected by Web crawler
期刊论文
IEEE Transactions on Computational Social Systems, 2019, 卷号: 6, 期号: 3, 页码: 547-553
作者:
Weng, Yuchen
;
Wang, Xiujuan
;
Kang, Mengzhen
;
Hua, Jing
;
Wang, Fei-yue
Adobe PDF(1374Kb)
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浏览/下载:379/186
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提交时间:2020/06/08
Web crawler
cucumber
agricultural CPSS framework
ARIMA model
neural network
price forecasting
Applying maximally stable extremal regions and local binary patterns for guide-wire detecting in percutaneous coronary intervention
期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 13, 页码: 2579-2586
作者:
Pusit, Prasong
;
Xie, Xiao-Liang
;
Hou, Zeng-Guang
Adobe PDF(2646Kb)
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浏览/下载:361/74
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提交时间:2020/03/30
blood vessels
medical image processing
surgery
image sequences
video signal processing
image filtering
object detection
X-ray imaging
object tracking
stroke width variation filter
region detection
local binary patterns
guide-wire recognition
conventional MSER methods
maximally stable extremal regions
guide-wire position
anatomical skeleton contours
training data
X-ray video sequence
percutaneous coronary intervention surgery
region area range filter
X-ray video monitoring
guide-wire tip detection
modified multifilters
training templates
Robust Visual Detection and Tracking Strategies for Autonomous Aerial Refueling of UAVs
期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2019, 卷号: 68, 期号: 12, 页码: 4640-4652
作者:
Sun, Siyang
;
Yin, Yingjie
;
Wang, Xingang
;
Xu, De
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Adobe PDF(11285Kb)
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浏览/下载:283/59
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提交时间:2020/03/30
Target tracking
Feature extraction
Object detection
Search problems
Proposals
Visualization
Detectors
Autonomous aerial refueling (AAR)
deep learning
object detection
object tracking
reinforcement learning
A Gallery-Guided Graph Architecture for Sequential Impurity Detection
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 期号: 0, 页码: 149105-149116
作者:
He, Wenhao
;
Song, Haitao
;
Guo, Yue
;
Yin, Xiaoyi
;
Wang, Xiaonan
;
Bian, Guibin
;
Qian, Wen
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Adobe PDF(3588Kb)
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浏览/下载:327/56
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提交时间:2020/03/30
Impurities
Proposals
Feature extraction
Training
Convolutional neural networks
Task analysis
Impurity detection
gallery-guided graph
feature embedding
graph convolutional neural network
An Enhanced Feature Pyramid Object Detection Network for Autonomous Driving
期刊论文
APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 20, 页码: 15
作者:
Wu, Yutian
;
Tang, Shuming
;
Zhang, Shuwei
;
Ogai, Harutoshi
Adobe PDF(6078Kb)
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浏览/下载:311/72
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提交时间:2020/03/30
object detection
feature pyramid network
feature recalibration
context embedding
autonomous driving systems
augmented reality