An efficient parallel fusion structure of distilled and transformer-enhanced modules for lightweight image super-resolution-Reference-Cited by-同舟云学术

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An efficient parallel fusion structure of distilled and transformer-enhanced modules for lightweight image super-resolution

Published:2024-01-22 Issue: Volume: Page:
ISSN:0178-2789
Container-title:The Visual Computer
language:en
Short-container-title:Vis Comput

Author:

Wang Guanqiang,Chen Mingsong,Lin Yongcheng,Tan Xianhua,Zhang Chizhou,Yao Wenxin,Gao Baihui,Zeng Weidong

Funder

National Key Research and Development Program of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00371-023-03243-9.pdf

Reference56 articles.

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2. Wang, Y., Bashir, S.M.A., Khan, M., Ullah, Q., Wang, R., et al.: Remote sensing image super-resolution and object detection: benchmark and state of the art. Expert Syst. Appl. 197, 116793 (2022)

3. Niu, T., Chen, B., Lyu, Q., Li, B., Luo, W., Wang, Z., Li, B.: Scoring Bayesian Neural Networks for learning from inconsistent labels in surface defect segmentation. Measurement. 225, 113998 (2024)

4. Yang, H., Yang, X., Liu, K., Jeon, G., Zhu, C.: SCN: self-calibration network for fast and accurate image super-resolution. Expert Syst. Appl. 226, 120159 (2023)

5. Keys, R.: Cubic convolution interpolation for digital image processing. IEEE Trans. Acoust. Speech Signal Process. 29(6), 1153–1160 (1981)

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