具有双向注意力的多尺度特征金字塔网络,用于高效的壁画图像分类
Shulan Wang1, Siyu Liu1, Mengting Jin2
1School of Architecture and Art Design, Hebei University of Technology, Tianjin, China.
PloS one
|August 4, 2025
概括
这项研究引入了用于壁画图像识别的先进深度学习模型,提高了文化遗产保护的准确性和细节感知. 该模型实现了高精度和实时性能,提供了具有成本效益的数字化解决方案.
科学领域:
- 计算机视觉 计算机视觉
- 人工智能的人工智能
- 数字遗产保护数字遗产的保护
背景情况:
- 壁画图像识别对于保护文化遗产至关重要,但面临风格概括,数据有限和图像退化等挑战.
- 现有的方法在复杂的细节和跨文化,多时期的风格变化方面扎.
研究的目的:
- 开发一个强大的深度学习模型,用于准确的壁画图像识别和数字保存.
- 解决一般化,细节感知和壁画数据集有限样本大小的挑战.
主要方法:
- 一个DenseNet201-FPN模型与双向卷积块注意模块 (Bi-CBAM) 集成.
- 整合了动态焦点蒸损失和凸调整以提高性能.
- 利用动态温度蒸策略来平衡教师和实地真相监督.
主要成果:
- 在自构建的壁画数据集上实现了87.9%的准确性,比DenseNet201.1.0提高了3.7%.
- 通过动态蒸将稀有类的F1分数提高了6.1%.
- 在边缘设备上展示了实时推断能力 (63ms/).
结论:
- 拟议的深度学习模型显著提高了壁画图像识别精度和细节感知.
- 这种方法为大规模壁画数字化提供了具有成本效益的解决方案,特别是在资源有限的环境中.
- 该模型的效率和准确性有助于推进文化遗产的数字保存.
相关概念视频
01:20Parallel Processing
227
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
227
01:26Visual System
689
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...
Once through the pupil, the light passes through the lens, a...
689