“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.

Within the framework of the prestigious 18th International conference on Document Analysis and Recognition (ICDAR 2024)  the 16th IAPR International Workshop on Document Analysis Systems (DAS 2024) will be jointly held. Here, our colleagues Usman Nawaz, Liliana Lo Presti, Marianna Napolitano, and Marco La Cascia (ESFRI – RESILIENCE RI/PNRR ITSERR) will participate presenting the following ... Read more