@inproceedings{231e290b49c243fda730f8303a2659e7,
title = "SuperClass: A Deep Duo-Task Learning Approach to Improving QoS in Image-driven Smart Urban Sensing Applications",
abstract = "Image-driven smart urban sensing (ISUS) has emerged as a powerful sensing paradigm to capture abundant visual information about the urban environment for intelligent city monitoring, planning, and management. In this paper, we focus on a Classification and Super-resolution Coupling (CSC) problem in ISUS applications, where the goal is to explore the interdependence between two critical tasks (i.e., classification and super-resolution) to concurrently boost the Quality of Service (QoS) of both tasks. Previous efforts often focus on solving the two tasks individually and ignore the opportunity to explore the interdependence between them. In this paper, we develop SuperClass, a deep duo-task learning framework, to effectively integrate the classification and super-resolution tasks into a holistic network design that jointly optimizes the QoS of both tasks. The evaluation results on a real-world ISUS application show that SuperClass consistently outperforms state-of-the-art baselines by simultaneously achieving better land usage classification accuracy and higher reconstructed image quality.",
keywords = "Image quality, Visualization, Superresolution, Urban areas, Quality of service, Sensors, Planning",
author = "Yang Zhang and Ruohan Zong and Lanyu Shang and {Tahmid Rashid}, Md and Dong Wang",
note = "Funding Information: This research is supported in part by the National Science Foundation under Grant No. IIS-2008228, CNS-1845639, CNS-1831669, Army Research Office under Grant W911NF-17-1-0409. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Office or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation here on. Publisher Copyright: {\textcopyright} 2021 IEEE.; 29th IEEE/ACM International Symposium on Quality of Service, IWQOS 2021 ; Conference date: 25-06-2021 Through 28-06-2021",
year = "2021",
month = jun,
day = "25",
doi = "10.1109/IWQOS52092.2021.9521332",
language = "English (US)",
isbn = "978-1-6654-3054-8",
series = "2021 IEEE/ACM 29th International Symposium on Quality of Service, IWQOS 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--6",
booktitle = "2021 IEEE/ACM 29th International Symposium on Quality of Service, IWQOS 2021",
address = "United States",
}