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English(EN) Efficient Waste Sorting for Circular Economy: A Confidence-guided comparison between One-Vs-All and One-Vs-Rest Classification Strategies with Human-in-the-Loop for Automated Waste Sorting

AI垃圾分类策略在循环经济中的比较

本研究论文评估了两种用于自动化垃圾分类系统的分类策略:一对所有(OvA)和一对其余(OvR)。研究重点在于通过减少错误分类的垃圾来改善循环经济,特别是在德国垃圾处理法规的背景下。通过分析德国戈斯拉尔(Goslar)的特定数据集,论文比较了OvA和OvR在识别需要人工审查的不确定样本方面的有效性,旨在平衡准确性与数据标注所需的精力。 AI

影响 这项研究可能带来更高效、更准确的AI驱动垃圾分类系统,从而提高回收率并推动循环经济发展。

排序理由 该集群包含一篇学术论文,详细介绍了特定应用领域AI分类策略的比较。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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AI垃圾分类策略在循环经济中的比较

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该集群包含一篇学术论文,详细介绍了特定应用领域AI分类策略的比较。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Mohammed Fahad Ali, Dominique Briechle, Marit Briechle-Mathiszig, Tobias Geger, Andreas Rausch ·

    高效垃圾分类助力循环经济:置信度引导下的一对多与一对余分类策略结合人机协同的自动化垃圾分类方法对比研究

    arXiv:2607.02230v1 Announce Type: cross Abstract: The complexity of waste disposal regulations across European countries poses significant challenges for the residents and hinders the transition to a Circular Economy. In Germany, the proper sorting and disposal of household waste…

  2. arXiv cs.AI TIER_1 English(EN) · Andreas Rausch ·

    面向循环经济的高效垃圾分类:基于置信度引导的“一对所有”与“一对其余”分类策略结合人机协同的自动化垃圾分类对比研究

    The complexity of waste disposal regulations across European countries poses significant challenges for the residents and hinders the transition to a Circular Economy. In Germany, the proper sorting and disposal of household waste remains challenging across municipalities. Conseq…