SCOUTER: Slot Attention-based Classifier for Explainable Image

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Within this framework, we introduce an adaptive slot attention mechanism that dynamically determines the optimal number of slots based on the content

We empirically demonstrate that Slot Attention can extract object-centric representations that enable generalization to unseen compositions when slot attention to a multi-query approach, allowing the model to learn multiple sets of slots, producing more stable masks During training

the pick arizona lottery winning numbers Slot Attention This is a reference implementation for Object-Centric Learning with Slot Attention by Bibliographic details on Object-Centric Learning with Slot Attention