在机器人接中用于合成数据生成和实例细分的可复制框架

Pietro Leoncini1,2, Francesco Marzola1, Matteo Pescio1,3

  • 1Department of Surgical Sciences, Università degli Studi di Torino, Corso Dogliotti 14, 10126, Turin, TO, Italy.

概括

本研究介绍了一种使用合成数据来训练计算机视觉 (CV) 模型进行机器人接自动化的模拟到真实的方法. 结合合成和真实数据的混合策略实现了高准确度的实时实例细分,克服了数据集限制.

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