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OSFormer:用于红外视频小物体检测的一步变压器

Haolin Qin, Tingfa Xu, Yuan Tang

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

|August 19, 2025

概括

一步式变压器 (OSFormer) 通过使用新的一步式范式和适应性注意力来改善红外视频小物体检测. 这种方法提高了监控应用的效率和准确性.

科学领域:

计算机视觉计算机视觉
人工智能的人工智能
深度学习 (Deep Learning) 是一种深度学习.

背景情况:

在红外视频中检测小物体对于安全和监视至关重要.
当前的深度学习方法与时间信息和复杂的背景作斗争.
现有的两步检测范式限制了对时间数据的有效使用.

研究的目的:

为红外视频小物体检测引入一种新的一步检测方法.
提高时间信息的利用,以提高准确性.
与现有方法相比,开发一种更高效,更有效的解决方案.

主要方法:

提出了一步式变压器 (OSFormer),将一个小物体友好的变压器与一步式检测范式集成在一起.
开发了多种尺寸补丁注意 (VPA) 模块,用于自适应特征提取.
包含多普勒自适应过器来抑制背景噪音并突出显示小物体.

主要成果:

在反UAV和红外UAV数据集上,OSFormer表现出卓越的性能.
在AntiUAV上实现了+3.1%的mAP50和在红外UAV上实现了+4.0%的mAP50-95.
与YOLOv8-s.相比,显示了参数 (-35.1%) 和FLOP (-51.0%) 的显著降低.

结论:

OSFormer为红外视频小物体检测提供了高效和有效的解决方案.
一步模式和新型模块显著提高了检测准确性和时间信息的利用.
该方法为监控和安全应用提供了有希望的进步.

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