Brain-inspired automated visual object discovery and detection

no code implementations • 30 Sep 2019 • Lichao Chen, Sudhir Singh, Thomas Kailath, Vwani Roychowdhury

This paper leverages the availability of such data to develop a scalable framework for unsupervised learning of object prototypes--brain-inspired flexible, scale, and shift invariant representations of deformable objects (e. g., humans, motorcycles, cars, airplanes) comprised of parts, their different configurations and views, and their spatial relationships.

Object Object Discovery