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English(EN) Dynamic High-frequency Convolution for Infrared Small Target Detection

新方法通过先进的卷积和蒸馏技术增强红外小目标检测能力

作者 PulseAugur 编辑部 · [2 个来源] ·

两篇新研究论文提出了红外小目标检测（IRSTD）的新方法。第一篇论文介绍了一种动态高频卷积（DHiF）方法，该方法自适应地处理图像中的高频分量，以更好地将目标与杂波区分开来。第二篇论文提出了一个高效的粗到精框架，该框架利用去噪增强训练和注意力先验引导的知识蒸馏来提高目标检测的准确性和效率，尤其是在复杂背景下。 AI

影响 这些论文引入了可能提高用于监控和监视应用的AI系统准确性和效率的新技术。

排序理由 两篇在arXiv上发表的学术论文，详细介绍了红外小目标检测的新方法。

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 →

新方法通过先进的卷积和蒸馏技术增强红外小目标检测能力

报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Ruojing Li, Chao Xiao, Qian Yin, Wei An, Nuo Chen, Xinyi Ying, Miao Li, Yingqian Wang ·

    Dynamic High-frequency Convolution for Infrared Small Target Detection

    arXiv:2602.02969v2 Announce Type: replace Abstract: Infrared small targets are typically tiny and locally salient, which belong to high-frequency components (HFCs) in images. Single-frame infrared small target (SIRST) detection is challenging, since there are many HFCs along with…

  2. arXiv cs.CV TIER_1 English(EN) · Houzhang Fang, Ruixuan Huang, Qiuhuan Chen, Xiaolin Wang, Yi Chang, Luxin Yan ·

    Denoising-Enhanced Coarse-to-Fine Infrared Small Target Detection with Attention Prior-Guided Knowledge Distillation

    arXiv:2606.21956v2 Announce Type: replace Abstract: Infrared small target detection (IRSTD) in high-resolution images is crucial for many practical applications, such as surveillance of unmanned aerial vehicles (UAVs) and UAV-based ground monitoring. However, IRSTD remains challe…

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