Surgical Depth Anything: Depth Estimation for Surgical Scenes using Foundation Models

Fuente: arXiv

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Bibliographic Details
Main Authors:	Lou, Ange, Li, Yamin, Zhang, Yike, Noble, Jack
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2410.07434