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Joint Graph Attention and Asymmetric Convolutional Neural Network for Deep Image Compression
Zhisen TANG
, Hanli WANG
, Xiaokai YI
, Yun ZHANG
,
Sam KWONG
, C.-C. Jay KUO
Research output
:
Journal Publications
›
Journal Article (refereed)
›
peer-review
66
Citations (Scopus)
Overview
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Projects / Grants
(1)
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Dive into the research topics of 'Joint Graph Attention and Asymmetric Convolutional Neural Network for Deep Image Compression'. Together they form a unique fingerprint.
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Computer Science
Convolutional Neural Network
100%
Image Compression
100%
Range Dependency
50%
Modeling
33%
Benchmark
16%
Experimental Result
16%
Share Information
16%
Information Flow
16%
Human Visual System
16%
Training Model
16%
Source Codes
16%
Receptive Field
16%
Channels
16%
Attention (Machine Learning)
16%
Level Relationship
16%
Spatial Relationship
16%
Convolutional Filter
16%
rate distortion
16%
Distortion Performance
16%
Visual Feature
16%
Bit Allocation
16%
Relationship Information
16%
Model Compression
16%
Positional Information
16%