“Trends, Applications, and Challenges in Human Attention Modelling”

Authors: Giuseppe Cartella, Marcella Cornia, Vittorio Cuculo, Alessandro D’Amelio, Dario Zanca, Giuseppe Boccignone, Rita Cucchiara

Abstract
Human attention modelling has proven, in recent years, to be
particularly useful not only for understanding the cognitive processes
underlying visual exploration, but also for providing support to
artificial intelligence models that aim to solve problems in various
domains, including image and video processing, vision-and-language
applications, and language modelling. This survey offers a reasoned
overview of recent efforts to integrate human attention mechanisms into
contemporary deep learning models and discusses future research
directions and challenges.