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Object-Centric Learning with Slot Attention

Object-Centric Learning with Slot Attention

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A new architecture to cleverly exploit ontology, which consists of Slot Attention and Value Normalization , referred to as SAVN, is proposed,

Although Slot Attention does not improve the accuracy much, it reinforces the robustness more effectively This indicates that it can better capture target Attention mechanism to capture correlations among multiple inter - dependent slots Moreover Slot - Attention and Link

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