Inverted-Attention Transformers can Learn Object Representations
Inverted-Attention Transformers can Learn Object Representations
slot attention
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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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