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SWAM achieves superior navigation performance by seamlessly integrating observation and action generation, significantly enhancing efficiency and accuracy in embodied tasks.
AutoMine outperforms existing methods in scenario mining, achieving a HOTA-Temporal score of 36.38 in a competitive setting.
Keypoint detectors can now be trained with RL to directly optimize for long-term trackability across image sequences, leading to significant improvements in downstream 3D vision tasks.
