Reasoning-Enhanced Object-Centric Learning for Videos

arXiv:2403.15245v1 Announce Type: cross
Abstract: Object-centric learning aims to break down complex visual scenes into more manageable object representations, enhancing the understanding and reasoning abilities of machine learning systems toward the physical world. Recently, slot-based video models have demonstrated remarkable proficiency in segmenting and tracking objects, but they overlook the importance of the effective reasoning module. In the real world, reasoning and predictive abilities play a crucial role in human perception and object tracking; in particular, these abilities are closely …

abstract arxiv cs.ai cs.cv cs.lg importance learning systems machine machine learning object objects reasoning systems tracking type understanding video videos visual world