Gazing Into Missteps: Leveraging Eye-Gaze for Unsupervised Mistake Detection in Egocentric Videos of Skilled Human Activities

Fuente: arXiv

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Bibliographic Details
Main Authors:	Mazzamuto, Michele, Furnari, Antonino, Sato, Yoichi, Farinella, Giovanni Maria
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2406.08379