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Synthetic data enables faster annotation and robust segmentation for multi-object grasping in clutter
In this work, we propose a synthetic data generation method that minimizes human intervention and makes downstream image segmentation algorithms more robust by combining a generated synthetic dataset with a smaller real-world dataset (hybrid dataset).
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