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北京航空航天大学 [76]
内容类型
会议论文 [40]
期刊论文 [36]
发表日期
2019 [8]
2018 [16]
2017 [7]
2016 [4]
2015 [14]
2014 [9]
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专题:北京航空航天大学
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Arbitrary-Oriented Dense Object Detection in Remote Sensing Imagery
会议论文
Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS, 2018-11-23
作者:
Yingxue, Chen
;
Wenrui, Ding
;
Hongguang, Li
;
Yufeng, Wang
;
Shuo, Liu
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Neural networks
Object recognition
Remote sensing
Software engineering
arbitraty-oriented
Conversion algorithm
Convolutional neural network
Detection networks
Object detection algorithms
Oriented bounding box
Remote sensing imagery
Remote sensing images
Object detection
Design of object recognition and operation system for escort robot
会议论文
2018 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2018, 2018-08-01
作者:
Zhang, P.
;
Chen, D.
;
Mao, J.
;
Wang, M.
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/30
Automation
Machine design
Motion planning
Object recognition
Quality control
Robotics
Robots
Communication modules
Communication technologies
High quality service
Key technologies
Operation system
Physical factors
Planning and execution
Robot technology
Robot programming
Object detection and tracking under Complex environment using deep learning-based LPM
期刊论文
IET COMPUTER VISION, 2019, 卷号: 13, 页码: 157-164
作者:
Li, Yundong
;
Zhang, Xueyan
;
Li, Hongguang
;
Zhou, Qichen
;
Cao, Xianbin
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2019/12/30
Deep learning
Efficiency
Graphic methods
Object recognition
Tracking (position)
Background clutter
Complex environments
Detection and tracking
Histograms of oriented gradients
Illumination changes
Object detection and tracking
Overall efficiency
Probability modeling
Object detection
Cascading classifier with discriminative multi-features for a specific 3D object real-time detection
期刊论文
VISUAL COMPUTER, 2019, 卷号: 35, 页码: 399-414
作者:
Wang, Rui
;
Liang, Ying
;
Xu, Jing Wen
;
He, Zhi Hai
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Specific 3D object detection
Candidate extraction
Candidate region recognition
Discriminative multi-features
Cascaded classifiers
MSANet: multimodal self-augmentation and adversarial network for RGB-D object recognition
期刊论文
VISUAL COMPUTER, 2019, 卷号: 35, 页码: 1583-1594
作者:
Zhou, Feng
;
Hu, Yong
;
Shen, Xukun
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/30
Deep learning
Object recognition
Adversarial network
Multimodal
Memory network for tracking with deep regression
会议论文
IEEE 3rd International Conference on Image Processing, Applications and Systems, IPAS 2018, 2018-12-12
作者:
Deng, Y.
;
Zheng, H.
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/30
Image recognition
Object recognition
Regression analysis
Target tracking
Competitive performance
Memory network
regression
stacked LSTM
State-of-the-art performance
Tracking by detections
Visual object tracking
Visual Tracking
Long short-term memory
3D object recognition from cluttered and occluded scenes with a compact local feature
期刊论文
MACHINE VISION AND APPLICATIONS, 2019, 卷号: 30, 页码: 763-783
作者:
Guo, Wulong
;
Hu, Weiduo
;
Liu, Chang
;
Lu, Tingting
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/30
3D descriptor
Local reference frame
Local surface feature
Object recognition
Point cloud
Wearable Travel Aid for Environment Perception and Navigation of Visually Impaired People
期刊论文
ELECTRONICS, 2019, 卷号: 8
作者:
Bai, Jinqiang
;
Liu, Zhaoxiang
;
Lin, Yimin
;
Li, Ye
;
Lian, Shiguo
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/30
wearable assistive device
blind navigation
object recognition
visually impaired people
ground segmentation
Manifold constraint transfer for visual structure-driven optimization
期刊论文
PATTERN RECOGNITION, 2018, 卷号: 77, 页码: 87-98
作者:
Zhang, Baochang
;
Perina, Alessandro
;
Li, Ce
;
Ye, Qixiang
;
Murino, Vittorio
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/30
Manifold
Transfer learning
Alternating direction method of multipliers
Object tracking
Augmented lagrange multiplier
Image tracking
Image recognition
Object categorization
Learning robust features by extended generative stochastic networks
期刊论文
International Journal of Modeling, Simulation, and Scientific Computing, 2018, 卷号: 9
作者:
Teng, D.
;
Song, X.
;
Gong, G.
;
Zhou, J.
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/30
Deep learning
Education
Learning systems
Neural networks
Object recognition
Stochastic systems
adversarial examples
Feed-forward network
Lateral connections
Overfitting
Random noise
State-of-the-art performance
Stochastic networks
Deep neural networks
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