Rethinking Object-Centric Representations for Video Dynamics Modeling
STAITUS is an unsupervised video object tracking framework that separates object appearance from its spatial pose. It uses a recurrent attention module to refine slot representations, ensuring that objects maintain consistent identities even when they move. This disentanglement leads to sharper masks and more stable tracking than previous methods.