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CSformer: Bridging Convolution and Transformer for Compressive Sensing
Dongjie YE
, Zhangkai NI
, Hanli WANG
, Jian ZHANG
, Shiqi WANG
,
Sam KWONG
Research output
:
Journal Publications
›
Journal Article (refereed)
›
peer-review
92
Citations (Scopus)
Overview
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Dive into the research topics of 'CSformer: Bridging Convolution and Transformer for Compressive Sensing'. Together they form a unique fingerprint.
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Computer Science
Convolutional Neural Network
100%
Compressive Sensing
100%
Initialization
66%
Experimental Result
33%
Superior Performance
33%
Global Context
33%
Global Feature
33%
Computational Complexity
33%
Image Processing
33%
Compressed Sensing
33%
Sampling Matrix
33%
local feature
33%