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

29 Nov 2016Marcella CorniaLorenzo BaraldiGiuseppe SerraRita Cucchiara

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 which can predict accurate saliency maps by incorporating neural attentive mechanisms... (read more)

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Results from the Paper


 Ranked #1 on Saliency Prediction on 2010 i2b2/VA (using extra training data)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK USES EXTRA
TRAINING DATA
RESULT BENCHMARK
Saliency Prediction 2010 i2b2/VA as 1 in 10 [email protected] 32 # 1

Methods used in the Paper