Object-CentricLearningwithSlotAttention
–Neural Information Processing Systems
Learning object-centric representations of complex scenes is a promising step towards enabling efficient abstract reasoning from low-levelperceptual features. Yet, most deep learning approaches learn distributed representations that do not capture the compositional properties of natural scenes.
Neural Information Processing Systems
Feb-9-2026, 05:29:34 GMT