Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling

27 Nov 2016 Hosnieh Sattar Andreas Bulling Mario Fritz

Predicting the target of visual search from eye fixation (gaze) data is a challenging problem with many applications in human-computer interaction. In contrast to previous work that has focused on individual instances as a search target, we propose the first approach to predict categories and attributes of search targets based on gaze data... (read more)

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