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科研机构
北京航空航天大学 [57]
内容类型
会议论文 [34]
期刊论文 [23]
发表日期
2019 [17]
2018 [26]
2017 [9]
2016 [4]
2015 [1]
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专题:北京航空航天大学
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Model-free Tracking with Deep Appearance and Motion Features Integration
会议论文
2019 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2019-01-01
作者:
Jiang, Xiaolong
;
Li, Peizhao
;
Zhen, Xiantong
;
Cao, Xianbin
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/12/30
Benchmarking
Neural networks
Benchmark datasets
Convolutional neural network
Motion detection
Output response
Parallel streams
Prior information
Real time modeling
Real-time processing speed
Computer vision
Race Classification from Face using Deep Convolutional Neural Networks
会议论文
ICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics
作者:
Wu, X.
;
Yuan, P.
;
Wang, T.
;
Gao, D.
;
Cai, Y.
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/30
Convolution
Database systems
Deep neural networks
Face recognition
Learning systems
Machine learning
Neural networks
Robotics
Search engines
Branch structure
Convolutional neural network
Face alignment
Machine learning methods
Merge networks
Multi-scale features
Race classification
State of the art
Classification (of information)
Characterizing Adversarial Samples of Convolutional Neural Networks
会议论文
Proceedings - 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018, 2018-10-13
作者:
Jiang, C.
;
Zhao, Q.
;
Liu, Y.
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/30
Biomedical engineering
Convolution
Frequency domain analysis
Image processing
Neural networks
Semantics
Convolutional neural network
High frequency domain
Non-targeted
Semantic relevance
Small perturbations
Solid basis
Deep neural networks
High Precision Detection of Salient Objects Based on Deep Convolutional Networks with Proper Combinations of Shallow and Deep Connections
期刊论文
SYMMETRY-BASEL, 2019, 卷号: 11
作者:
Guo, Lin
;
Qin, Shiyin
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
detection of salient objects
deep learning
deep neural networks
semantic segmentation
shallow and deep connections
A deep automated skeletal bone age assessment model via region-based convolutional neural network
期刊论文
Future Generation Computer Systems, 2019, 卷号: 98, 页码: 54-59
作者:
Liang, B.
;
Zhai, Y.
;
Tong, C.
;
Zhao, J.
;
Li, J.
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2019/12/30
Cartilage
Convolution
Deep learning
Diagnosis
Forecasting
Image segmentation
Medical problems
Musculoskeletal system
Neural networks
Object detection
10-fold cross-validation
Biomedicine
Bone age assessment
Convolutional networks
Convolutional neural network
Learning techniques
Mean absolute error
Ossification center
Bone
Accelerate neural style transfer with super-resolution
期刊论文
Multimedia Tools and Applications, 2019
作者:
Li, Z.
;
Zhou, F.
;
Yang, L.
;
Li, X.
;
Li, J.
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2019/12/30
Deep learning
Optical resolving power
Program processors
Convolutional networks
High resolution image
Image generations
Neural network optimization
Single images
Style transfer
Super resolution
Transfer network
Image reconstruction
A Deep Path Planning Algorithm Based on CNNs for Perception Images
会议论文
Proceedings 2018 Chinese Automation Congress, CAC 2018, 2018-11-30
作者:
Li, G.
;
Ma, Y.
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/12/30
Computer games
Convolution
Deep learning
Deep neural networks
Learning algorithms
Neural networks
Robot programming
Robots
Stars
Convolutional neural network
End-to-end models
Feature extracting
Global path planning
Modified a
Path planning for robots
Path-planning algorithm
Scene understanding
Motion planning
Deep3DSaliency: Deep Stereoscopic Video Saliency Detection Model by 3D Convolutional Networks
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 页码: 2305-2318
作者:
Fang, Yuming
;
Ding, Guanqun
;
Li, Jia
;
Fang, Zhijun
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/30
Visual attention
stereoscopic video
spatiotemporal saliency
3D convolutional neural networks
Forecasting short-term residential electricity consumption using a deep fusion model
期刊论文
Lecture Notes in Electrical Engineering, 2019, 卷号: 529, 页码: 359-371
作者:
Lei, M.
;
Tang, L.
;
Li, M.
;
Ye, Z.
;
Pan, L.
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/12/30
Convolution
Forecasting
Housing
Neural networks
Convolutional neural network
Electricity consumption forecasting
Electricity-consumption
Fully connected neural network
Residential electricity
Residential electricity consumption
Short term load forecasting
Short term prediction
Electric power utilization
Bearing fault diagnosis based on generalized S transform denoising and convolutional neural network
期刊论文
Lecture Notes in Electrical Engineering, 2019, 卷号: 529, 页码: 425-432
作者:
Liu, W.
;
Han, M.
;
Chen, L.
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/30
Bearings (structural)
Convolution
Deep learning
Failure analysis
Mathematical transformations
Neural networks
Statistical tests
Bearing fault diagnosis
Convolutional neural network
Convolutional Neural Networks (CNN)
De-noising
Diagnosis methods
Failure information
Generalized S transform
Recognition accuracy
Fault detection
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