Turning a slot attention indicator off

We empirically demonstrate that Slot Attention can extract object-centric representations that enable generalization to unseen compositions when trained on

Turning a slot attention indicator off %0 Conference Paper %T Unlocking Slot Attention by Changing Optimal Transport Costs %A Yan Zhang %A David W Zhang %A Simon Lacoste-Julien %A Gertjan J

We empirically demonstrate that Slot Attention can extract object-centric representations that enable generalization to unseen compositions when trained on

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

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

slot mc4 Slot Attention is an architectural component that interfaces with perceptual representations such as the output of a convolutional neural network and

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