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English(EN) Doppio: A Dataset for Contactless Weight Estimation of Falling Particles

计算机视觉数据集“Doppio”实现无接触式称重

研究人员开发了一种用于无接触式落体颗粒称重(以咖啡研磨为例)的计算机视觉方法。他们推出了“Doppio”,一个包含研磨咖啡视频和精确重量测量值的新数据集。评估了包括空间前馈网络和循环时空网络在内的深度学习模型在估算累积重量方面的准确性和计算效率,展示了基于视觉的无接触测量解决方案的潜力。 AI

影响 这项研究可能为工业应用带来更易于获取且成本效益更高的无接触测量解决方案。

排序理由 该集群描述了一个新的数据集和研究论文,重点是计算机视觉应用。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

计算机视觉数据集“Doppio”实现无接触式称重

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该集群描述了一个新的数据集和研究论文,重点是计算机视觉应用。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Simon Kiefhaber, Jan-Martin O. Steitz, Julia Grabinski, Christoph Reich, Paul Wagner, Max Zimmermann, Simone Schaub-Meyer, Stefan Roth ·

    Doppio:用于跌落粒子非接触式称重的数据集

    arXiv:2609.02528v1 Announce Type: new Abstract: Measuring the mass of powder, including falling particles, is a common task in industrial applications. While scales are effective for static measurements, many applications require contactless sensing, where existing solutions are …