Class-Agnostic Robotic Gaze Control Via Fast Normalized Cut

Abstract

We present an application of a new algorithm for estimating the minimal normalized cut to the control of robotic gaze. We recursively apply the bipartition of the feature map provided by a foundation model, measuring when to stop and return object masks. We find this approach useful, stable, and capable of running in real time.