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English(EN) UFO-DETR: Frequency-Guided End-to-End Detector for UAV Tiny Objects

UFO-DETR框架提升UAV小目标检测能力

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了UFO-DETR，一个新颖的端到端目标检测框架，旨在提高无人机（UAV）图像中小目标的检测能力。该框架采用基于LSKNet的主干网络，以优化感受野和减少参数，并结合DAttention和AIFI模块有效建模多尺度空间关系。此外，DynFreq-C3模块通过利用跨空间频率特征增强来提升微小目标的检测性能。实验表明，UFO-DETR在检测性能和计算效率方面均优于RT-DETR-L，使其成为UAV边缘计算的合适解决方案。 AI

影响 该框架为UAV目标检测提供了更高的效率和准确性，可能惠及监控、农业和环境监测等应用。

排序理由 该集群描述了一篇关于新颖目标检测框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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

UFO-DETR框架提升UAV小目标检测能力

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该集群描述了一篇关于新颖目标检测框架的学术论文。[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) · Yuankai Chen, Kai Lin, Qihong Wu, Xinxuan Yang, Jiashuo Lai, Ruoen Chen, Haonan Shi, Minfan He, Meihua Wang ·

    UFO-DETR：用于无人机微小目标的频率引导端到端检测器

    arXiv:2602.22712v2 Announce Type: replace Abstract: Small target detection in UAV imagery faces significant challenges such as scale variations, dense distribution, and the dominance of small targets. Existing algorithms rely on manually designed components, and general-purpose d…

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