Temporally Consistent Object-Centric Learning by Contrasting Slots

Figure 1. SLOT CONTRAST: Our method introduces a temporal contrastive loss that enhances temporal consistency in unsupervised video object-centric models. It stabilizes representations across frames, achieving state-of-the-art object discovery on complex real-world videos.