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GeoAAC is proposed, a geometry-based adaptive action chunking method for flow-based VLA policies that adjusts the action horizon according to the reliability of the current action prediction, with geometric variation across action prefixes remaining positively correlated with predictive uncertainty.
This paper proposes VisualRouter, a training-free and plug-and-play framework for query-grounded visual sampling, which consistently improves multiple LVLMs over uniform sampling, and outperforming existing training-free visual sampling methods under the same setting.
To facilitate smart wearable devices or human-like robotics with real-time first-person perspective perception ability, recent researchers proposed the Egocentric Online Action Segmentation (EOAS) task. It requires models to recognize what is happening in egocentric streaming videos and discriminate the starting and en...
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