Efficient Dual-Branch Information Interaction Network for Lightweight Image Super-Resolution-Reference-Cited by-同舟云学术

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Efficient Dual-Branch Information Interaction Network for Lightweight Image Super-Resolution

Published:2024 Issue: Volume:73 Page:1-11
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Jin Haonan¹^ORCID,Gao Guangwei¹^ORCID,Li Juncheng²^ORCID,Guo Zhenhua³^ORCID,Yu Yi⁴^ORCID

Affiliation:

1. Intelligent Visual Information Perception Laboratory, Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China

2. School of Communication and Information Engineering, Shanghai University, Shanghai, China

3. Tianyijiaotong Technology Ltd., Suzhou, China

4. Graduate School of Advanced Science and Engineering, Hiroshima University, Hiroshima, Japan

Funder

Key Laboratory of Artificial Intelligence of Ministry of Education

National Natural Science Foundation of China

Open Fund Project of Provincial Key Laboratory for Computer Information Processing Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/19/10367905/10648610.pdf?arnumber=10648610

Reference42 articles.

1. Detail-Enhanced Wavelet Residual Network for Single Image Super-Resolution

2. Deep HyFeat Based Attention in Attention Model for Face Super-Resolution

3. CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution

4. A Systematic Survey of Deep Learning-Based Single-Image Super-Resolution

5. Image Super-Resolution Using Deep Convolutional Networks

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