Ning Gao
Ning Gao
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slot attention
Enhancing Interpretable Object Abstraction via Clustering-based Slot Initialization
This work proposes the conditional slot initialization using clustering algorithms instead of random initialization and allows to generate flexible number of slots. Furthermore, it analyzes the effect of permutation symmetry including invariance and equivariance on the object-centric slot representations indicating the permutation equivariant mean-shift model presents notable advances especially for complex scenes.
Ning Gao
,
Bernard Hohmann
,
Gerhard Neumann
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