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Fast Non-Local Attention network for light super-resolution
Jonghwan Hong
, Bokyeung Lee
, Kyungdeuk Ko
,
Hanseok Ko
*
*
Corresponding author for this work
Research output
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Contribution to journal
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Article
›
peer-review
3
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Keyphrases
Attention Network
100%
Super-resolution
100%
Single Image Super-resolution
100%
Non-local Attention
100%
Computational Cost
50%
Global Representation
50%
Low Computational Complexity
33%
Performance Improvement
33%
Global Information
33%
Excellent Performance
16%
Real Environment
16%
Neural Network Method
16%
Benchmark Dataset
16%
Environmental Applications
16%
Balance Problem
16%
Local Features
16%
Cost Performance
16%
Information Resources
16%
Local Representation
16%
Long-range Dependence
16%
Convolutional Neural Network
16%
Multi-source Information
16%
Convolution Operation
16%
Light Network
16%
Non-local Network
16%
Long-distance Relationships
16%
Local Transformer
16%
Light Model
16%
Local Attention Module
16%
Computer Science
super resolution
100%
Attention (Machine Learning)
100%
Single-Image Super Resolution
100%
Computational Cost
66%
Global Information
33%
Computational Complexity
16%
local feature
16%
Performance Improvement
16%
Outstanding Performance
16%
Information Resource
16%
Local Network
16%
Convolutional Neural Network
16%
Convolution Operation
16%
Range Dependency
16%