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西北工业大学 国内
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Embarrassingly Simple Binarization for Deep Single Imagery Super-Resolution Networks
Lei Zhang
, Zhiqiang Lang,
Wei Wei
,
Yanning Zhang
计算机学院
Northwestern Polytechnical University Xian
科研成果
:
期刊稿件
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文章
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同行评审
9
引用 （Scopus）
综述
指纹
指纹
探究 'Embarrassingly Simple Binarization for Deep Single Imagery Super-Resolution Networks' 的科研主题。它们共同构成独一无二的指纹。
分类
加权
按字母排序
Computer Science
super resolution
100%
binarization
100%
Single-Image Super Resolution
83%
Performance Degradation
33%
Generalization Performance
16%
Training Sample
16%
Deep Convolutional Neural Networks
16%
Network Architecture
16%
Computational Resource
16%
Storage Resource
16%
Local Minimum
16%
Extensive Training
16%
Engineering
Single Image
100%
Performance Degradation
40%
Local Minimum
20%
Convolutional Neural Network
20%
Absolute Value
20%
Computational Resource
20%
Storage Resource
20%
Chemical Engineering
Neural Network
100%