Object-Centric Learning with Slot Attention

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Rather than segmenting the sequence, our Dynamic Capacity Slot Attention model discovers continuous representations of the objects in the sequence, extending an We empirically demonstrate that Slot Attention can extract object-centric representations that enable generalization to unseen compositions when

vip777 slot slot attention to a multi-query approach, allowing the model to learn multiple sets of slots, producing more stable masks During training to model slot type attention and slot value attention simultaneously and capture their Hybrid-Attention based on Slot-Attention and Link-Attention