APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for Robot Manipulation

Yizhe Wu,Oiwi Parker Jones,Martin Engelcke,Ingmar Posner,Yizhe Wu,Oiwi Parker Jones,Martin Engelcke,Ingmar Posner

Recent advances in unsupervised learning for object detection, segmentation, and tracking hold significant promise for applications in robotics. A common approach is to frame these tasks as inference in probabilistic latent-variable models. In this paper, however, we show that the current state-of-the-art struggles with visually complex scenes such as typically encountered in robot manipulation ta...