  Point source detection techniques are used to identify and localise point
sources in radio astronomical surveys. With the development of the Square
Kilometre Array (SKA) telescope, survey images will see a massive increase in
size from Gigapixels to Terapixels. Point source detection has already proven
to be a challenge in recent surveys performed by SKA pathfinder telescopes.
This paper proposes the Point Proposal Network (PPN): a point source detector
that utilises deep convolutional neural networks for fast source detection.
Results measured on simulated MeerKAT images show that, although less precise
when compared to leading alternative approaches, PPN performs source detection
faster and is able to scale to large images, unlike the alternative approaches.
