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IRFNet:用于伪装物体检测的认知灵感代改进融合网络.

Guohan Li1,2, Jingxin Wang1,3, Jianming Wei1

  • 1Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China.

Sensors (Basel, Switzerland)
|March 17, 2025
PubMed
概括

本研究介绍了用于伪装物体检测 (COD) 的代精制融合网络 (IRFNet). IRFNet增强了特征表示,并代地改进了检测,在基准数据集上表现优于现有的方法.

关键词:
注意力机制注意力机制伪装物体检测 伪装物体检测计算机视觉 计算机视觉跨层次的功能融合融合.代的提炼 代的提炼对象检测检测对象检测对象检测

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