Design and implementation of tiny Deep Neural Networks for landing pad detection on UAVs
This paper presents a design paradigm to implement convolutional neural networks (CNNs)
on low-power commercial microcontrollers for the detection of landing pads in small-size …
on low-power commercial microcontrollers for the detection of landing pads in small-size …
An Affordable Hardware-aware Neural Architecture Search for Deploying Convolutional Neural Networks on Ultra-low-power Computing Platforms
Hardware-aware neural architecture search (HW-NAS) allows the integration of
convolutional neural networks (CNNs) in microcontrollers devices by automatically …
convolutional neural networks (CNNs) in microcontrollers devices by automatically …
Supporting in-Sensor Computing with Hardware-Aware Neural Architecture Search
Hardware-aware neural architecture search (HW-NAS) is a powerful tool for the automatic
design of tiny neural architectures able to fit the tight memory constraints of commodity …
design of tiny neural architectures able to fit the tight memory constraints of commodity …