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Self-Supervised Data Generation for Precision Agriculture: Blending Simulated Environments with Real Imagery

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Saraceni, Leonardo, Motoi, Ionut Marian, Nardi, Daniele, Ciarfuglia, Thomas Alessandro
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition Machine Learning Robotics I.5.2; J.3
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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