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Found 3 papers, 1 papers with code
A Study of Human Gaze Behavior During Visual Crowd Counting
Analyzing the collected gaze behavior of ten human participants on thirty crowd images, we observe some common approaches for visual counting.
Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning
These maps were learned by IRL and then used to predict behavioral scanpaths for multiple target categories.
Predicting Goal-directed Attention Control Using Inverse-Reinforcement Learning
Using machine learning and the psychologically-meaningful principle of reward, it is possible to learn the visual features used in goal-directed attention control.
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