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Hunan University
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Tailoring data augmentation to individual learning states boosts performance by an average of 4.5% on natural images, revealing a new frontier in generative data strategies.
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.
