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A novel hardware-oriented ultra-high-speed object detection algorithm based on convolutional neural network
期刊论文
JOURNAL OF REAL-TIME IMAGE PROCESSING, 2019, 期号: 17, 页码: 1703-1714
作者:
Li, Jianquan
;
Long, Xianlei
;
Hu, Shenhua
;
Hu, Yiming
;
Gu, Qingyi
;
Xu, De
Adobe PDF(1879Kb)
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浏览/下载:262/42
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提交时间:2020/08/03
FPGA implementation
High-speed vision
Fast-object detection
Convolutional neural network
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:218/45
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提交时间:2021/05/27
Quality Inspection
Quadrangular Object Detection
Learning Category-level Implicit 3D Rotation Representations for 6D Pose Estimation from RGB Images
会议论文
, 中国云南省大理市, 2019-12
作者:
Li, Xiaocan
;
Cai, Yinghao
;
Wang, Shuo
;
Lu, Tao
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Adobe PDF(4647Kb)
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浏览/下载:200/63
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提交时间:2020/08/27
Pose Estimation
Autoencoder
6D Object Detection
Category Level
Perceiving Motion From Dynamic Memory for Vehicle Detection in Surveillance Videos
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 卷号: 29, 期号: 12, 页码: 3558-3567
作者:
Liu, Wei
;
Liao, Shengcai
;
Hu, Weidong
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浏览/下载:244/0
  |  
提交时间:2020/03/30
Videos
Feature extraction
Object detection
Detectors
Surveillance
Proposals
Dynamics
Object detection
surveillance video
deep neural network
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:262/55
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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
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
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Adobe PDF(2646Kb)
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浏览/下载:323/71
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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
An Effective Microscopic Detection Method for Automated Silicon-Substrate Ultra-microtome (ASUM)
期刊论文
NEURAL PROCESSING LETTERS, 2019, 页码: 18
作者:
Cheng, Long
;
Liu, Weizhou
收藏
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浏览/下载:199/0
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提交时间:2020/03/30
Microscopic object detection
Deep learning
Data augmentation
Serial sections
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
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Adobe PDF(6078Kb)
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浏览/下载:282/70
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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
ParallelEye-CS: A New Dataset of Synthetic Images for Testing the Visual Intelligence of Intelligent Vehicles
期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 卷号: 68, 期号: 10, 页码: 9619-9631
作者:
Li, Xuan
;
Wang, Yutong
;
Yan, Lan
;
Wang, Kunfeng
;
Deng, Fang
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:203/0
  |  
提交时间:2020/03/30
Testing
Intelligent vehicles
Task analysis
Object detection
Automation
Roads
Visual perception
Intelligent vehicles
visual intelligence
intelligence testing
object detection
virtual simulation
synthetic images
Pixelwise Deep Sequence Learning for Moving Object Detection
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 卷号: 29, 期号: 9, 页码: 2567-2579
作者:
Chen, Yingying
;
Wang, Jinqiao
;
Zhu, Bingke
;
Tang, Ming
;
Lu, Hanqing
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浏览/下载:243/0
  |  
提交时间:2019/12/16
Moving object detection
background modeling
moving object proposal
convolutional neural networks