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Inverted-Attention Transformers can Learn Object Representations

Inverted-Attention Transformers can Learn Object Representations

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Slot Attention model discovers continuous representations of the objects in the sequence

Slot attention is a powerful method for object-centric modeling in images and videos However, its set-equivariance limits its ability to handle videos with

slot haverleij In this paper, we propose a slot attention- based classifier called SCOUTER for transparent yet ac- curate classification Two major differences from other

slot 99 login Slot Attention is a popular method aimed at object-centric learning, and its popularity has resulted in dozens of variants and extensions To

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