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

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Lou, Ange, Li, Yamin, Zhang, Yike, Noble, Jack
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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