Unlocking Slot Attention by Changing Optimal Transport Costs

During generation, slot representations are generated from global scene representation to ensure coherent scene structure Our extensive

Slot Attention is an object-centric representation learning module that uses an iterative, competitive process to extract concepts from an

slot sites romania slot attention-based classifier called SCOUTER for transparent yet accurate classification Two major differences from other attention-based methods include

slot jurassic park 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