How is Gaze Influenced by Image Transformations? Dataset and Model

• Published in: IEEE transactions on image processing Vol. 29; pp. 2287 - 2300
• Main Authors: Che, Zhaohui, Borji, Ali, Zhai, Guangtao, Min, Xiongkuo, Guo, Guodong, Le Callet, Patrick
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.01.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE); Institute of Electrical and Electronics Engineers
• Subjects: Artificial Intelligence; Computer Science; Data augmentation; Data models; Datasets; Eye movements; generative adversarial networks; Human gaze; Human performance; Image Processing; Image resolution; Mathematical model; model robustness; Modules; Observers; Performance degradation; Robustness; Salience; saliency prediction; Semantics; Transformations; Visualization

Data size is the bottleneck for developing deep saliency models, because collecting eye-movement data is very time-consuming and expensive. Most of current studies on human attention and saliency modeling have used high-quality stereotype stimuli. In real world, however, captured images undergo vari...