In this paper we present a method for still image memorability estimation. The proposed solution exploits feature maps extracted from two Convolutional Neural Networks pre-trained for object recognition and memorability estimation respectively. The feature maps are then enhanced using a soft attention mechanism in order to let the model focus on highly informative image regions for memorability estimation. Results achieved on a benchmark dataset demonstrate the effectiveness of the proposed method.
CITATION STYLE
Leonardi, M., Celona, L., Napoletano, P., Bianco, S., Schettini, R., Manessi, F., & Rozza, A. (2019). Image memorability using diverse visual features and soft attention. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11752 LNCS, pp. 171–180). Springer Verlag. https://doi.org/10.1007/978-3-030-30645-8_16
Mendeley helps you to discover research relevant for your work.