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Rethinking Object-Centric Representations for Video Dynamics Modeling
Learning to decompose videos into persistent objects is a fundamental challenge in unsupervised object-centric representation learning. Despite recent progress, existing methods struggle to simultaneously achieve accurate object segmentation, consistent identities over time, and reliable foreground-
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