NeurIPS 2020 : Object-Centric Learning with Slot Attention

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Slot Attention is an object-centric representation learning module that uses an iterative, competitive process to extract concepts from an

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 Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames This is a model repository for my paper Invariant Slot Attention I uploaded a

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