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UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model

Fuente: arXiv

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Bibliographic Details
Main Authors:	Kaiser, Timo, Norrenbrock, Thomas, Rosenhahn, Bodo
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
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