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Elisabetta Farella

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Conference Open access Sep 2026

GALE: Memory-Efficient Global Approximate and Local Exact Features

Embedded devices typically lack the resources of GPU-equipped machines, and existing inference methods suffer from either high computational overhead (patch-based) or accuracy loss (approximation-based). We propose GaLe, a memory-efficient technique that enables the deployment of pretrained networks on constrained devi...

A. Ancilotto, Elisabetta Farella · 0 citations

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