English(EN) Subspace Representations for Synthetic-to-Real Transfer in 3-D Surface Inspection

论文探讨用于三维表面检测中合成到真实迁移的子空间表示

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-02 08:30

本文研究了子空间表示在将合成数据知识迁移到真实世界三维表面检测任务中的有效性。研究人员采用了三种方法——最近子空间分类器、单类模板子空间和广义差分子空间（GDS）——来分析在合成缺陷上训练的模型。在 MVTec 3D-AD 数据集上的实验表明，虽然检测精度仍然较低，但子空间方法可以限制特征偏移。在 Real3D-AD 数据集上，单类子空间在没有基准训练的情况下实现了 0.957 的高 AUROC，这表明参考数据和配准对于检测任务比子空间本身更关键。 AI

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Hugging Face Daily Papers TIER_1 English(EN) · 2026-11-02 08:30

用于三维表面检测中合成到真实迁移的子空间表示

This paper studies what subspace representations contribute to synthetic-to-real transfer in 3-D surface inspection, where models learn from synthetic defects and the only real data before deployment are scans of good parts. We use three classical constructions as instruments: th…

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用于三维表面检测中合成到真实迁移的子空间表示

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