An Intelligent Co-Scheduling Framework for Efficient Super-Resolution on Edge Platforms With Heterogeneous Processors-Reference-Cited by-同舟云学术

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An Intelligent Co-Scheduling Framework for Efficient Super-Resolution on Edge Platforms With Heterogeneous Processors

Published:2024-05-15 Issue:10 Volume:11 Page:17651-17662
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Wang Qi¹,Fang Weiwei¹^ORCID,Qian Liang¹,Chen Yanming²^ORCID,Xiong Neal N.³^ORCID

Affiliation:

1. School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China

2. School of Computer Science and Technology, Anhui University, Hefei, Anhui, China

3. Department of Computer Science and Mathematics, Sul Ross State University, Alpine, TX, USA

Funder

National Science Foundation of China

Beijing Municipal Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10528217/10413518.pdf?arnumber=10413518

Reference42 articles.

1. A Deep Journey into Super-resolution

2. Image Super-Resolution Using Deep Convolutional Networks

3. Image Super-Resolution and Applications

4. Two-Stage Deep Single-Image Super-Resolution With Multiple Blur Kernels for Internet of Things

5. Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report

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