TMSR: Tiny Multi-path CNNs for Super Resolution
arXiv:2312.01644
Abstract
In this paper, we proposed a tiny multi-path CNN-based Super-Resolution (SR) method, called TMSR. We mainly refer to some tiny CNN-based SR methods, under 5k parameters. The main contribution of the proposed method is the improved multi-path learning and self-defined activated function. The experimental results show that TMSR obtains competitive image quality (i.e. PSNR and SSIM) compared to the related works under 5k parameters.
5 pages, 7 figures, published in the IEEE Eurasia Conference on IoT, Communication and Engineering proceedings 2023