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Aalto University, Finland
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HSA achieves up to 41.5% improvement in scene decomposition accuracy by leveraging hierarchical semantic understanding with minimal labeled data.
Stop forcing object-centric learning models into rigid feature alignment; cycle consistency works better when applied to the reconstructed visual scene.
Robots can now learn manipulation skills from human videos with greater morphological accuracy and temporal consistency, thanks to a new method that disentangles task and embodiment.
