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English(EN) WaveInst: A Frequency-Domain Enhanced Network for Fine-Grained Thin Tree Trunk Extraction in Forest Scenes

WaveInst网络利用频域特征增强细树干提取

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了WaveInst，一种用于精确提取森林图像中细树干的新型网络。该系统通过整合空间域卷积特征和频域表示来增强细粒度细节表示。WaveInst利用频域特征补偿分支，包含用于频域分解的离散小波变换块和用于特征细化的低频增强块。在包括专门的PoplarDataset在内的各种数据集上进行的实验表明，WaveInst的性能优于现有方法，尤其是在幼树方面。 AI

影响 这项研究推进了用于生态监测和林业管理的计算机视觉技术。

排序理由 该集群包含一篇详细介绍用于图像分析的新网络架构的研究论文。[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 →

WaveInst网络利用频域特征增强细树干提取

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该集群包含一篇详细介绍用于图像分析的新网络架构的研究论文。[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) · Chenyang Fan, Xujie Zhu, Taige Luo, Zhulin Chen, Sheng Xu ·

    WaveInst：用于森林场景细粒度细树干提取的频域增强网络

    arXiv:2505.01656v2 Announce Type: replace Abstract: Analyzing tree morphology, particularly trunk and branch extraction, is valuable for genetic breeding and forestry management. Existing image-based deep learning methods tend to misidentify overlapping trunks as a single trunk w…

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