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English(EN) Beyond Resolution: Object-to-Image Ratio Mismatch in Instance Retrieval

新研究发现物体到图像比率不匹配是视觉检索失败的关键

作者 PulseAugur 编辑部 · [3 个来源] ·

一篇新研究论文指出，物体到图像（O2I）比率不匹配是视觉实例检索失败的主要原因，而非分辨率损失。该研究在3,021个Objaverse对象的基准上进行，发现对于大多数预训练骨干网络，超过80%的检索准确率下降是由于O2I比率不匹配造成的。研究提出了解决方案，如查询端尺度增强和OWLv2裁剪重排序器，在ILIAS 100M数据集上取得了最先进的成果，证明了O2I鲁棒性是可以学习的。 AI

影响 这项研究通过解决一个基本限制，有可能提高视觉搜索和检索系统的准确性和鲁棒性。

排序理由 该集群包含一篇在arXiv上发表的研究论文，详细介绍了计算机视觉领域的新发现和方法论。

在 arXiv cs.CV 阅读 →

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新研究发现物体到图像比率不匹配是视觉检索失败的关键

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该集群包含一篇在arXiv上发表的研究论文，详细介绍了计算机视觉领域的新发现和方法论。
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报道来源 [3]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Shai Avidan ·

    超越分辨率：实例检索中的物体与图像比例不匹配

    Visual instance retrieval often fails when the same object appears at different apparent sizes in the query and gallery. We show that the dominant cause is usually not resolution loss but object-to-image (O2I) ratio mismatch: the object occupies different fractions of the two ima…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    超越分辨率：实例检索中的对象到图像比例不匹配

    Visual instance retrieval often fails when the same object appears at different apparent sizes in the query and gallery. We show that the dominant cause is usually not resolution loss but object-to-image (O2I) ratio mismatch: the object occupies different fractions of the two ima…

  3. arXiv cs.CV TIER_1 English(EN) · Boaz Meivar, Ofir Kedem, Amit Edenzon, Gal Chechik, Shai Avidan ·

    超越分辨率：实例检索中的对象到图像比例不匹配

    arXiv:2610.11489v1 Announce Type: new Abstract: Visual instance retrieval often fails when the same object appears at different apparent sizes in the query and gallery. We show that the dominant cause is usually not resolution loss but object-to-image (O2I) ratio mismatch: the ob…

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