@inproceedings{6a0f64024cba48a9a05078ed006a3232,
title = "TMSR: Tiny Multi-path CNNs for Super Resolution",
abstract = "We proposed a tiny multi-path CNN-based Super-Resolution (SR) method (TMSR) referring to tiny CNN-based SR methods under 5k parameters. The main contribution of the proposed method is the improved multi-path learning. The experimental results showed that TMSR obtained competitive image quality (peak-signal-to-noise ratio and Structural Similarity Index Measure) compared to the related works under 5k parameters.",
author = "Liu, {Chia Hung} and Hsieh, {Tzu Hsin} and Huang, {Kuan Yu} and Chen, {Pei Yin}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 5th IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2023 ; Conference date: 27-10-2023 Through 29-10-2023",
year = "2023",
doi = "10.1109/ECICE59523.2023.10383101",
language = "English",
series = "2023 IEEE 5th Eurasia Conference on IOT, Communication and Engineering, ECICE 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "829--833",
editor = "Teen-Hang Meen",
booktitle = "2023 IEEE 5th Eurasia Conference on IOT, Communication and Engineering, ECICE 2023",
address = "United States",
}