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Dual-State Slot Attention: Decoupling Appearance and Identity for Video Object-Centric Learning
Unsupervised video object-centric learning aims to decompose dynamic scenes into persistent, object-level representations without supervision. However, existing slot-based methods struggle to maintain stable object identity in challenging settings such as rapid motion and partial occlusion. First, t
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