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English(EN) AVID: A Weakly Aligned RGB-Infrared Dataset and Perturbation Benchmark for Tiny Aerial Targets

新的AVID数据集利用RGB-红外图像聚焦无人机检测

研究人员推出AVID,一个专为使用RGB和红外图像组合检测微小空中目标(特别是无人机)而设计的新数据集和基准。该数据集包含超过32,000对帧,专注于通常非常小的目标,大多数目标仅占8-16像素。AVID还包括一个扰动基准AVID-C,它模拟了各种图像退化,以评估这些因素以及跨模态对齐挑战如何影响检测性能。研究结果表明,与单独使用任一模态相比,组合RGB和红外数据可显著提高对这些微小目标的检测准确性。 AI

影响 该数据集有望推动在监控应用中的小目标检测和传感器融合方面的研究。

排序理由 该项目是一篇研究论文,详细介绍了一个用于计算机视觉任务的新数据集和基准。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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新的AVID数据集利用RGB-红外图像聚焦无人机检测

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该项目是一篇研究论文,详细介绍了一个用于计算机视觉任务的新数据集和基准。[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) · Dharini Raghavan, Vishnu Rao, Sethu Selvi S ·

    AVID: A Weakly Aligned RGB-Infrared Dataset and Perturbation Benchmark for Tiny Aerial Targets

    arXiv:2610.40949v1 Announce Type: new Abstract: Long-range detection of small drones is complicated by their visual similarity to birds and by the limited detail available from ground-based cameras. Combining visible and infrared observations offers complementary information, but…