Trends, Applications, and Challenges in Human Attention Modelling

Cartella G, Cornia M, Cuculo V, D'Amelio A, Zanca D, Boccignone G, Cucchiara R (2024)

Publication Type: Conference contribution

Publication year: 2024

Journal

IJCAI-97 - PROCEEDINGS OF THE FIFTEENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOLS 1 AND 2

Publisher: International Joint Conferences on Artificial Intelligence

Pages Range: 7971-7979

Conference Proceedings Title: IJCAI International Joint Conference on Artificial Intelligence

Event location: Jeju KR

ISBN: 9781956792041

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. For a comprehensive overview of the ongoing research, refer to our dedicated repository available at https://github.com/aimagelab/awesome-human-visual-attention.

Authors with CRIS profile

Dario Zanca Machine Learning and Data Analytics Lab

Involved external institutions

Università degli Studi di Modena e Reggio Emilia (UNIMORE) IT Italy (IT) Università degli studi di Milano IT Italy (IT)

How to cite

APA:

Cartella, G., Cornia, M., Cuculo, V., D'Amelio, A., Zanca, D., Boccignone, G., & Cucchiara, R. (2024). Trends, Applications, and Challenges in Human Attention Modelling. In Kate Larson (Eds.), IJCAI International Joint Conference on Artificial Intelligence (pp. 7971-7979). Jeju, KR: International Joint Conferences on Artificial Intelligence.

MLA:

Cartella, Giuseppe, et al. "Trends, Applications, and Challenges in Human Attention Modelling." Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024, Jeju Ed. Kate Larson, International Joint Conferences on Artificial Intelligence, 2024. 7971-7979.

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