AnalogNet: Convolutional Neural Network Inference on Analog Focal Plane Sensor Processors

no code implementations • 2 Jun 2020 • Matthew Z. Wong, Benoit Guillard, Riku Murai, Sajad Saeedi, Paul H. J. Kelly

We present a high-speed, energy-efficient Convolutional Neural Network (CNN) architecture utilising the capabilities of a unique class of devices known as analog Focal Plane Sensor Processors (FPSP), in which the sensor and the processor are embedded together on the same silicon chip.

Synthetic dataset generation for object-to-model deep learning in industrial applications

1 code implementation • 24 Sep 2019 • Matthew Z. Wong, Kiyohito Kunii, Max Baylis, Wai Hong Ong, Pavel Kroupa, Swen Koller

In such cases, the data sets have to be created from scratch, placing a crucial bottleneck on the deployment of deep learning techniques in industrial applications.

Image Generation