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We introduce a sequential extension to Slot Attention — Slot Attention for Video — which we train to predict frame reconstructions or optical flow
slot attention, which utilizes attention mechanisms to itera- tively refine slot representations However, a major draw- back of most object-centric models Explore object-centric learning with Yannic Kilcher's under 1-hour material, focusing on slot attention architecture, algorithm, and its broader impact
b200m slot However, a significant challenge within the realm of slot attention is its reliance on a predefined number of slots, which can prove problematic On one hand, Implementation of Slot Attention from the paper 'Object-Centric Learning with Slot Attention' in Pytorch Here is a video that describes what this network
