CMFX:用于RGB-X群众计数的交叉模式融合网络
Xiao-Meng Duan1, Hong-Mei Sun1, Zeng-Min Zhang1
1College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
概括
本研究介绍了CMFX,这是RGB-X人群计数的统一框架,有效地融合了深度和热摄像头等传感器的多式联络功能. 在多个数据集中,CMFX表现出卓越的性能,解决了传感器适应性挑战.
科学领域:
- 计算机视觉 计算机视觉
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 现有的人群计数方法通常将RGB图像与互补的X模式相结合,以提高精度.
- 一个关键的挑战是开发能够适应多种传感器的模型,这是由于模式间的特征变化造成的.
研究的目的:
- 提出CMFX,一个统一的融合框架,用于强大的RGB-X人群计数.
- 解决多式联络人群计数中的传感器特定模型的局限性.
主要方法:
- CMFX 结合了一个快速特征聚合模块 (FFAM),使用轻量混合注意力来实现低级特征融合.
- 跨模式特征交互模块 (CFIM) 通过探索相关性来纠正和融合高层特征.
- 交叉模式特征解码模块 (CFDM) 使用图形卷积来改进交叉模式特征.
主要成果:
- 在RGBT-CC,DroneRGBT和上海TechRGBD数据集上评估CMFX,将深度和热模式与RGB统一.
- 该框架在RGB深度和RGB热群众计数场景中表现出色.
- 拟议的模块有效地增强多式联运特征表示和交互.
结论:
- CMFX为RGB-X人群计数提供了统一且可适应的解决方案.
- 该框架克服了与传感器差异相关的挑战,并实现了最先进的结果.
- 这项工作为更普遍的多式联运人群分析系统铺平了道路.
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