Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model

Data-driven saliency has recently gained a lot of attention thanks to the use of Convolutional Neural Networks for predicting gaze fixations. In this paper we go beyond standard approaches to saliency prediction, in which gaze maps are computed with a feed-forward network, and present a novel model...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - (2018) vom: 29. Juni
1. Verfasser:	Cornia, Marcella (VerfasserIn)
Weitere Verfasser:	Baraldi, Lorenzo, Serra, Giuseppe, Cucchiara, Rita
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2018
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article