Object-Centric Learning with Slot Attention
Object-Centric Learning with Slot Attention
Within this framework, we introduce an adaptive slot attention mechanism that dynamically determines the optimal number of slots based on the content
Object-Centric Learning with Slot Attention %0 Conference Paper %T Unlocking Slot Attention by Changing Optimal Transport Costs %A Yan Zhang %A David W Zhang %A Simon Lacoste-Julien %A Gertjan J
Within this framework, we introduce an adaptive slot attention mechanism that dynamically determines the optimal number of slots based on the content
slot parlor The Slot Attention architecture works by first taking in the output of a convolutional neural network, which is a representation of the input image or dataset
During generation, slot representations are generated from global scene representation to ensure coherent scene structure Our extensive
slot jack hammer fiable 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
Reproducibility Study - SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition Creators Maarten Burger · ORCID icon
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Object-Centric Learning with Slot Attention
We introduce a sequential extension to Slot Attention — Slot Attention for Video — which we train to predict frame reconstructions or optical flow
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