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Visual System01:26

Visual System

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Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
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相关实验视频

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一种混合多级间接视觉探测器算法用于遗产建筑火灾检测.

Jian Liang1, Junsheng Cheng2

  • 1College of Mechanical and Vehicle Engineering, Hunan University, Changsha, 410082, China.

Scientific reports
|December 26, 2025
PubMed
概括

本研究引入了一种新的混合多尺度间接视觉检测算法 (HMIV-DET) 用于遗产建筑火灾检测. HMIV-DET算法显著改善了间接视觉系统中小目标的检测和视觉平衡.

科学领域:

  • 计算机科学 计算机科学
  • 人工智能的人工智能
  • 消防安全工程 消防安全工程

背景情况:

  • 间接视觉技术在遗产建筑火灾检测方面面临挑战,特别是小目标检测和视觉不平衡.
  • 现有的方法很难在各种尺度和语义层面上有效地捕捉火焰特征.

研究的目的:

  • 提出一种新的混合多级间接视觉检测算法 (HMIV-DET),以解决遗产建筑火灾检测的局限性.
  • 提高小目标的检测性能,改善间接视觉系统中的视觉平衡.

主要方法:

  • 开发了HMIV-DET算法,用于视觉失衡的自适应间接视觉增强 (AIVE),用于多尺度特征提取的自适应多核特征编排块 (AMFOBlock),以及用于特征交互的层次交叉尺度特征融合网络 (HCSFPN).
  • 使用自建的遗产建筑间接视觉火灾数据集进行实验验证.

主要成果:

  • 在YOLOv11基线上,HMIV-DET算法显示了显著的改进.
  • 实现了mAP50的2.8%增长和mAP50-95.5的3.3%增长.
  • 该算法保持了轻量级的特性,同时提高了检测性能.

结论:

  • 拟议的HMIV-DET算法有效地解决了小目标检测和遗产建筑火灾检测视觉失衡方面的挑战.

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  • 使用间接视觉技术,HMIV-DET提供了一个有前途的轻量化解决方案,用于改进使用间接视觉技术的火灾检测.