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National University of Defense Technology
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Re-ranking grasp candidates can boost the performance of frozen detectors by up to 13.60 points in Average AP, transforming how we approach grasping in robotics.
Adversarial training can effectively disentangle session-specific noise from task-relevant speech features in brain-computer interfaces, leading to more robust decoding across recording sessions.
