Abstract
In this demo, we will showcase recent work on implementing convolutional neural networks directly on pixel processor arrays (PPA). As CNNs demonstrate enhanced performance across tasks from classification to image synthesis, it becomes essential to find the most adequate ways to realize them especially for embedded, real-time and reactive tasks in areas across Computer Vision and Robotics. The PPA concept is one architecture that pairs sensing and massively parallel processing at the focal plane level and allow mid to high level tasks to be run wholly embedded within them. They allow operation at high framerates and low energy consumption (
Cite
CITATION STYLE
Bose, L., Chen, J., Carey, S. J., Dudek, P., & Mayol-Cuevas, W. (2019). Live demonstration: Digit recognition on pixel processor arrays. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (Vol. 2019-June, pp. 1705–1706). IEEE Computer Society. https://doi.org/10.1109/CVPRW.2019.00218
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