Slot Attention

Slot Attention slot attention Within this framework, we introduce an adaptive slot attention mechanism that dynamically determines the optimal number of slots based on the content slot machines Overview of a general object-centric learning framework on videos The model performs Slot Attention to capture objects with slots, and decodes slots back

slot machines In this paper, we present the Slot Attention module, an architectural component that interfaces with perceptual representations such as the output of a

slot machine aams 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 Attention module to address these issues Instead of using the similarity computation, our PRSlot module directly learns the