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English(EN) FGD2HF: Frequency-guided Dual-domain Hypergraph Fusion for Semantic Segmentation

新网络FGD2HF利用频域引导增强语义分割

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员推出了一种新颖的语义分割网络FGD2HF，该网络能有效利用频域信息。该系统采用混合注意力编码器（NAHA）来模拟局部和全局关系，并结合小波变换与增强（WTE）模块来处理频率线索。频率引导双域融合（FGDF）模块随后将这些频率洞察整合到空间特征调制和融合中，旨在以降低的计算复杂度提高准确性。 AI

影响 这项研究可能带来更高效、更准确的语义分割模型，造福计算机视觉和自主系统领域的应用。

排序理由 该条目描述了一篇详细介绍一种新颖语义分割方法的最新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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新网络FGD2HF利用频域引导增强语义分割

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该条目描述了一篇详细介绍一种新颖语义分割方法的最新研究论文。[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) · Xiaofan Yang, Wei Pan, Yubin Liu, Junyu Wu, Junming Zhang, Jie Zhao ·

    FGD2HF: 面向语义分割的频率引导双域超图融合

    arXiv:2610.34734v1 Announce Type: new Abstract: Frequency-domain information is beneficial for semantic segmentation. However, existing frequency-based methods often suffer from insufficient frequency utilization, inefficient fusion, and high computational complexity. To address …

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