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北京航空航天大学 [51]
内容类型
会议论文 [35]
期刊论文 [16]
发表日期
2019 [21]
2018 [24]
2017 [4]
2016 [2]
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专题:北京航空航天大学
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Multi-scale Aggregation Network for Direct Face Alignment
会议论文
2019 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2019-01-01
作者:
Li, Peizhao
;
Zhang, Anran
;
Yue, Lei
;
Zhen, Xiantong
;
Cao, Xianbin
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/30
Benchmarking
Computer vision
Convolution
Neural networks
Semantics
Aggregation network
Attention mechanisms
Benchmark datasets
Convolutional neural network
Intermediate layers
Learning architectures
Multi-scale features
State-of-the-art methods
Network architecture
An Energy-Efficient Reconfigurable Processor for Binary- and Ternary-Weight Neural Networks With Flexible Data Bit Width
会议论文
IEEE JOURNAL OF SOLID-STATE CIRCUITS, 2019-04-01
作者:
Yin, Shouyi
;
Ouyang, Peng
;
Yang, Jianxun
;
Lu, Tianyi
;
Li, Xiudong
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/30
Binary neural networks
ternary neural networks
reconfigurable processor
convolution optimization
load balancing
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)
Stereo Matching Using Gabor Convolutional Neural Network
会议论文
2018 11th International Workshop on Human Friendly Robotics, HFR 2018, 2018-11-13
作者:
Liu, Z.
;
Hu, Q.
;
Liu, J.
;
Zhang, B.
收藏
  |  
浏览/下载:80/0
  |  
提交时间:2019/12/30
Convolution
Deformation
Gabor filters
Network architecture
Neural networks
Robot applications
Robotics
Convolutional neural network
Disparity map
Geometric deformations
Large margins
Perspective projections
Scene flow
Stereo image pairs
Stereo matching
Stereo image processing
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
P-FDCN based eye state analysis for fatigue detection
会议论文
International Conference on Communication Technology Proceedings, ICCT, 2018-10-08
作者:
Huang, R.
;
Wang, Y.
;
Guo, L.
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/30
Neural networks
Textures
Accuracy Improvement
Convolution neural network
Convolutional networks
Convolutional neural network
Eye state analysis
Fatigue detection
Projection cores
Texture information
Convolution
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
Bone Age Assessment Based on Two-Stage Deep Neural Networks
会议论文
2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018
作者:
Chu, M.
;
Liu, B.
;
Zhou, F.
;
Bai, X.
;
Guo, B.
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/30
Bone
Convolution
Deep learning
Feature extraction
Binary classification
Bone age assessment
Clinical practices
Mean absolute error
Multiple outputs
Original images
Regression problem
Sub-problems
Deep neural networks
On-line Monitoring of Tool Wear Conditions in Machining Processes Based on Machine Tool Data [基于机床信息的加工过程刀具磨损状态在线监测]
期刊论文
Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2019, 卷号: 30, 页码: 220-225
作者:
Lu, Z.
;
Ma, P.
;
Xiao, J.
;
Wang, M.
;
Tang, X.
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/30
Computer architecture
Condition monitoring
Convolution
Data acquisition
Lime
Machine tools
Machining
Machining centers
Neural networks
Voltage measurement
Wear of materials
Convolutional neural network
Online monitoring
Process information
Recognition models
Tool condition monitoring
Tool wear
Tool wear condition monitoring
Unified architecture
Cutting tools
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
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