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We found that human gaze behavior is clearly guided by task-relevance: designated objects were preferentially fixated.
Abstract. State-of-the-art multiple object tracking (MOT) models have recently been shown to behave in qualitatively different ways from human observers.
Dec 16, 2023 · We found that human gaze behavior is clearly guided by task relevance: designated objects were preferentially fixated.
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We demonstrated that differences between participants in terms of where they locate fixations can be causally linked to performance differences.
Human-like multiple object tracking through occlusion via gaze-following ... How do humans and machine learning models track multiple objects through occlusion?
공동 저자 ; Human-like multiple object tracking through occlusion via gaze-following. B Peters, E Butkus, N Kriegeskorte. Gaze Meets Machine Learning Workshop, ...
Human-like multiple object tracking through occlusion via gaze-following (Poster); FoVAE: Reconstructive Foveation as a Self-Supervised Variational Inference ...
Dec 9, 2024 · This study aimed to measure how alterations in binocular vision integrity, created by Bangerter filters (BF), affect gaze behaviour during ...