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English(EN) Topology-Preserving Data Augmentation for Ring-Type Polygon Annotations

新的增强方法可保持多边形标注的拓扑结构

研究人员开发了一种新的基于多边形图像分割的数据增强技术,该技术可保持拓扑结构的完整性。该方法解决了标准几何变换可能破坏多边形连通性的问题,尤其是在建筑平面图等复杂数据集中。所提出的方法增加了最小的计算开销,并确保语义区域保持连接,从而提高了标注一致性和分割精度。 AI

影响 引入了一种新颖的增强策略,以提高基于多边形的分割模型的准确性和鲁棒性。

排序理由 这是一篇发表在arXiv上的研究论文,详细介绍了一种新的技术方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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

新的增强方法可保持多边形标注的拓扑结构

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这是一篇发表在arXiv上的研究论文,详细介绍了一种新的技术方法。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Sudip Laudari, Sang Hun Baek ·

    面向环形多边形标注的拓扑保持数据增强

    arXiv:2603.14764v3 Announce Type: replace-cross Abstract: Geometric data augmentation is widely used in segmentation workflows, but polygon annotations are often assumed to remain valid after transformation. This assumption can fail in structured domains such as architectural flo…