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Analysis of performance difference when using knowledge distillation of efficient CNN-based super-resolution algorithm
- Yoon, Min;
- Lee, Seunghyun;
- Song, Byung-Cheol
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0초록
In this paper, we used RLFN, the NTIRE 2022 Efficient Super-Resolution Challenge winning model, to implement a lightweight and efficient super-resolution algorithm. We also apply knowledge distillation in a partially modified form of the PISR framework and analyze the qualitative and quantitative results to improve the performance while maintaining the cost of RLFN. © 2023 IEEE.
키워드
Knowledge distillation; Super resolution
- 제목
- Analysis of performance difference when using knowledge distillation of efficient CNN-based super-resolution algorithm
- 저자
- Yoon, Min; Lee, Seunghyun; Song, Byung-Cheol
- 발행일
- 2023
- 유형
- Conference paper
- 저널명
- 2023 International Conference on Electronics, Information, and Communication, ICEIC 2023