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科研机构
武汉大学 [183]
内容类型
期刊论文 [132]
其他 [28]
会议论文 [23]
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2019 [68]
2018 [57]
2017 [47]
2016 [11]
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专题:武汉大学
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Domain Transfer Learning for Hyperspectral Image Super-Resolution
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 6
作者:
Li, Xiaoyan
;
Zhang, Lefei
;
You, Jane
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/05
Hyperspectral Image (HSI) super-resolution
domain transfer learning
convolutional super-resolution network
image fusion
The Automatic Segmentation of Mammographic Mass Using the End-To-End Convolutional Network Based on Dense-Prediction
期刊论文
JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2019, 卷号: 9, 期号: 7
作者:
Zhou, Lin
;
Ding, Mingyue
;
Xu, Liying
;
Zhou, Yurong
;
Zhang, Xuming
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/05
Breast Tumor
Segmentation
Deep Learning
Convolutional Neural Network
Encoder-Decoder
Dense Prediction
Multi-Branch Convolution
Condition Evaluation for Opening Damper of Spring Operated High-Voltage Circuit Breaker Using Vibration Time-Frequency Image
期刊论文
IEEE SENSORS JOURNAL, 2019, 卷号: 19, 期号: 18
作者:
Yang, Qiuyu
;
Ruan, Jiangjun
;
Zhuang, Zhijian
;
Huang, Daochun
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2019/12/05
High-voltage circuit breaker (HVCB)
opening damper
vibration time-frequency image
convolutional neural network (CNN)
Hilbert-Huang transform (HHT)
condition evaluation
A Lightweight and Discriminative Model for Remote Sensing Scene Classification With Multidilation Pooling Module
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: 12, 期号: 8
作者:
Zhang, Bin
;
Zhang, Yongjun
;
Wang, Shugen
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/12/05
Attention mechanism
convolutional neural network (CNN)
dilated convolution
remote sensing image
scene classification
RoadNet: Learning to Comprehensively Analyze Road Networks in Complex Urban Scenes from High-Resolution Remotely Sensed Images
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 4
作者:
Liu, Yahui
;
Yao, Jian
;
Lu, Xiaohu
;
Xia, Menghan
;
Wang, Xingbo
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/05
Benchmark data set
bilinear blending
centerline extraction
convolutional neural networks (CNNs)
edge detection
image segmentation
loss function
road network extraction
user interaction
No-reference quality assessment for contrast-altered images using an end-to-end deep framework
期刊论文
JOURNAL OF ELECTRONIC IMAGING, 2019, 卷号: 28, 期号: 1
作者:
Hu, Shiyong
;
Yan, Jia
;
Zhang, Weixia
;
Deng, Dexiang
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/05
contrast alteration
image quality assessment
convolutional neural network
image representation
end-to-end training
Burn image segmentation based on Mask Regions with Convolutional Neural Network deep learning framework: more accurate and more convenient
期刊论文
BURNS & TRAUMA, 2019, 卷号: 7
作者:
Jiao, Chong
;
Su, Kehua
;
Xie, Weiguo
;
Ye, Ziqing
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/05
Burn image
Deep learning
Mask R-CNN
Image segmentation
Reconstructing Geostationary Satellite Land Surface Temperature Imagery Based on a Multiscale Feature Connected Convolutional Neural Network
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 3
作者:
Wu, Penghai
;
Yin, Zhixiang
;
Yang, Hui
;
Wu, Yanlan
;
Ma, Xiaoshuang
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/12/05
geostationary satellite land surface temperature (GLST)
convolutional neural networks (CNN)
multiscale feature connection
large missing regions
reconstruction
Automatic segmentation of left ventricle from cardiac MRI via deep learning and region constrained dynamic programming
期刊论文
NEUROCOMPUTING, 2019, 卷号: 347
作者:
Hu, Huaifei
;
Pan, Ning
;
Wang, Jiayu
;
Yin, Tailang
;
Ye, Renzhen
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/05
Left ventricle segmentation
Convolutional Neural Network
Non-maxima gradient suppression
Region constrained dynamic programming
DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 3
作者:
Zou, Qin
;
Zhang, Zheng
;
Li, Qingquan
;
Qi, Xianbiao
;
Wang, Qian
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/12/05
Line detection
edge detection
contour grouping
crack detection
convolutional neural network
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