DenseStep2M: A Scalable, Training-Free Pipeline for Dense Instructional Video Annotation

Fuente: arXiv

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Bibliographic Details
Main Authors:	Ge, Mingji, Chen, Qirui, Li, Zeqian, Xie, Weidi
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2604.26565