Adaptive Student Inference Network for Efficient Single Image Super-Resolution-Reference-Cited by-同舟云学术

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Adaptive Student Inference Network for Efficient Single Image Super-Resolution

Published:2023-12-01 Issue: Volume:32 Page:488-497
ISSN:
Container-title:2023 IEEE International Conference on Data Mining (ICDM)
language:
Short-container-title:

Author:

Miao Kang¹,Zhang Zhao¹,Ren Jiahuan¹,Zhao Mingbo²,Zhang Haijun³,Hong Richang¹

Affiliation:

1. Hefei University of Technology,School of Computer Science and Information Engineering,Hefei,China

2. Donghua University,School of Information Science and Technology,Shanghai,China

3. Harbin Institute of Technology (Shenzhen),Department of Computer Science,Shenzhen,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10415628/10415561/10415795.pdf?arnumber=10415795

Reference43 articles.

1. Tensorflow: a system for large-scale machine learning;Abadi

2. NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study

3. Toward Real-World Single Image Super-Resolution: A New Benchmark and a New Model

4. On the Efficacy of Knowledge Distillation

5. Learning a Deep Convolutional Network for Image Super-Resolution

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