Jan 30, 2023 · We evaluate slot attention using MESH on multiple object-centric learning benchmarks and find significant improvements over slot attention in ...

By replacing entropy-regularized optimal transport with unregularized optimal transport, we can make slot attention exclusively multiset-equivariant to avoid ...

Slot attention is a successful method for object-centric modeling with images and videos for tasks like unsupervised object discovery.

Oct 20, 2022 · Slot attention can do tiebreaking by changing the costs for optimal transport to minimize entropy, which improves results significantly on ...

This repo implements the experiments in Unlocking Slot Attention by Changing Optimal Transport Costs. To run the experiments, first prepare the data with the ...

Jul 23, 2023 · We evaluate slot attention using MESH on multiple object-centric learning benchmarks and find significant improvements over slot attention in ...

Unlocking Slot Attention by Changing Optimal Transport Costs. 09:43. Unlocking Slot Attention by Changing Optimal Transport Costs. Watch later. Favorite.

Jul 21, 2023 · Unlocking Slot Attention by Changing Optimal Transport Costs @Cyanogenoid, @davwzha, @SimonLacosteJ, @gjburghouts, @cgmsnoek poster: ...

Python 7 · MESH MESH Public. Code for the paper "Unlocking Slot Attention by Changing Optimal Transport Costs". Python 11 · recurrently_predicting_hypergraphs ...

Explore all code implementations available for Unlocking Slot Attention by Changing Optimal Transport Costs.