Adaptive Slot Attention: Object Discovery with Dynamic Slot Number

slot attention to a multi-query approach, allowing the model to learn multiple sets of slots, producing more stable masks During training

Adaptive Slot Attention: Object Discovery with Dynamic Slot Number A new architecture to cleverly exploit ontology, which consists of Slot Attention and Value Normalization , referred to as SAVN, is proposed,

slot attention to a multi-query approach, allowing the model to learn multiple sets of slots, producing more stable masks During training

slot sky777 We introduce a sequential extension to Slot Attention — Slot Attention for Video — which we train to predict frame reconstructions or optical flow

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

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With Slot Attention for Video , we extend this framework Object-Centric Learning with