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GaLe: memory-efficient Global Approximate and Local Exact features
Alberto Ancilotto, Elisabetta Farella
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…
EHWGesture -- A dataset for multimodal understanding of clinical gestures
Gianluca Amprimo, Alberto Ancilotto, Alessandro Savino +5
Hand gesture understanding is essential for several applications in human-computer interaction, including automatic clinical assessment of hand dexterity. While deep learning has a…
PhiNets: a scalable backbone for low-power AI at the edge
Francesco Paissan, Alberto Ancilotto, Elisabetta Farella
In the Internet of Things era, where we see many interconnected and heterogeneous mobile and fixed smart devices, distributing the intelligence from the cloud to the edge has becom…