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English(EN) DGNet: Dual-knowledge Guided Network for Infrared Small Target Detection

新型神经网络利用双知识引导解决红外小目标检测问题

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了两种用于红外小目标检测的新型神经网络架构，即ADGNet和DGNet。ADGNet利用非对称双文本提示和非对称双分支交互，分别用目标和背景提示引导视觉特征，解决了红外语义不对称问题。DGNet采用先验知识小波调制模块和共识知识方向对齐损失，利用双文本先验来解耦背景和目标语义并优化检测。这两种方法都旨在增强目标并抑制背景，在公开数据集上的表现优于现有的最先进方法。 AI

影响 引入了红外小目标检测的新型架构，有望提高监控和自主系统中的性能。

排序理由 两篇发表在arXiv上的研究论文，介绍了用于特定计算机视觉任务的新型神经网络架构。

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

新型神经网络利用双知识引导解决红外小目标检测问题

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两篇发表在arXiv上的研究论文，介绍了用于特定计算机视觉任务的新型神经网络架构。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Tongtong Wang, Mingzhu Xu, Chenglong Yu, Jing Wang, Xiaohui Lin, Weili Guan ·

    ADGNet：用于红外小目标检测的不对称双文本引导网络

    arXiv:2609.00853v1 Announce Type: cross Abstract: InfRared Small Target Detection (IRSTD) is a challenging task. Relying solely on pixel-level information, vision-only methods struggle to distinguish targets from clutter. Current multimodal methods typically describe both targets…

  2. arXiv cs.CV TIER_1 English(EN) · Chenglong Yu, Mingzhu Xu, Jing Wang, Tongtong Wang, Pingping Miao, Liqiang Nie ·

    DGNet：用于红外小目标检测的双知识引导网络

    arXiv:2609.00666v1 Announce Type: new Abstract: InfRared Small Target Detection (IRSTD) is a prominent and challenging task in computer vision. In recent years, text-guided methods have significantly improved detection performance. However, they still suffer from two key limitati…

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