most citedTinyissimoYOLO: A Quantized, Low-Memory Footprint, TinyML Object Detection Network for Low Power Microcontrollers

39 citations · 39 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2023★ 39 cited

TinyissimoYOLO: A Quantized, Low-Memory Footprint, TinyML Object Detection Network for Low Power Microcontrollers

Julian Moosmann, Marco Giordano, Christian Vogt +1

This paper introduces a highly flexible, quantized, memory-efficient, and ultra-lightweight object detection network, called TinyissimoYOLO. It aims to enable object detection on m…

physics.atom-ph2021

All-Optical Matter-Wave Lens using Time-Averaged Potentials

H. Albers, R. Corgier, A. Herbst +11

The stability of matter-wave sensors benefits from interrogating large-particle-number atomic ensembles at high cycle rates. The use of quantum-degenerate gases with their low effe…