| Paper ID | SMR-05.11 | ||
| Paper Title | DEEP LEARNING VS. TRADITIONAL ALGORITHMS FOR SALIENCY PREDICTION OF DISTORTED IMAGES | ||
| Authors | Xin Zhao, Cardiff University, United Kingdom; Hanhe Lin, University of Konstanz, Germany; Pengfei Guo, Zhongkai University of Agriculture and Engineering, China; Dietmar Saupe, University of Konstanz, Germany; Hantao Liu, Cardiff University, United Kingdom | ||
| Session | SMR-05: Perception and Quality Models for Images & Video | ||
| Time | Tuesday, 27 October, 17:30 - 18:25 | ||
| Topic | [SMR] Image & Video Sensing, Modeling, and Representation: [SMR-HPM] Perception and Quality Models for Images & Video | ||
| IEEE Xplore Open Preview | Click here to view in IEEE Xplore | ||
| Virtual Presentation | Click here to watch in the Virtual Conference | ||