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Efficient Visual Anomaly Detection at the Edge: Enabling Real-Time Industrial Inspection on Resource-Constrained Devices

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Stropeni, Arianna, Genilotti, Fabrizio, Borsatti, Francesco, Barusco, Manuel, Pezze, Davide Dalle, Susto, Gian Antonio
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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