세미나 - SKKU IIS LAB - Object-Centric Learning with Slot Attention

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PARTS: Unsupervised segmentation with slots, attention and independence maximization Abstract: From an early age, humans perceive the visual world as composed

Within this framework, we introduce an adaptive slot attention mechanism that dynamically determines the optimal number of slots based on the content Our article SAT3D: Slot Attention Transformer for 3D Point Cloud Semantic Segmentation, has just been published on IEEE Xplore

million dracula 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, Slot Attention: Towards Object-centric Perception The world around us — and our understanding