EyeCue detects driver cognitive distraction by modeling gaze-visual context interactions in egocentric videos and achieves 74.38% accuracy on the new CogDrive dataset, outperforming 11 baselines.
arXiv preprint arXiv:2208.04464 , year=
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A gaze-only student model distilled from a joint gaze-video teacher achieves high skill-assessment accuracy using 73x less power than prior methods.
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EyeCue: Driver Cognitive Distraction Detection via Gaze-Empowered Egocentric Video Understanding
EyeCue detects driver cognitive distraction by modeling gaze-visual context interactions in egocentric videos and achieves 74.38% accuracy on the new CogDrive dataset, outperforming 11 baselines.
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SkillSight: Efficient First-Person Skill Assessment with Gaze
A gaze-only student model distilled from a joint gaze-video teacher achieves high skill-assessment accuracy using 73x less power than prior methods.