(MLE$^{2}$A$^{2}$U)-Net: Image Super-Resolution via Multi-Level Edge Embedding and Aggregated Attentive Upsampler Network-Reference-Cited by-同舟云学术

(MLE$^{2}$A$^{2}$U)-Net: Image Super-Resolution via Multi-Level Edge Embedding and Aggregated Attentive Upsampler Network

Published:2023-04 Issue:2 Volume:7 Page:523-536
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Mehta Nancy¹^ORCID,Murala Subrahmanyam¹^ORCID

Affiliation:

1. Computer Vision and Pattern Recognition Laboratory, Department of Electrical Engineering, IIT Ropar, Rupnagar, Punjab, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computational Mathematics,Control and Optimization,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7433297/10081151/09805991.pdf?arnumber=9805991

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5. Image Super-Resolution via Deep Recursive Residual Network

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