Object-Centric Learning with Slot Attention

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

slot capecod snai to model slot type attention and slot value attention simultaneously and capture their Hybrid-Attention based on Slot-Attention and Link-Attention

slot megadrama This repo is the Pytorch Implementation of paper Object-Centric Learning with Slot Attention It uses the slot attention module from here but augments it