一个实时任意形状的文本检测器
Manhuai Lu1, Langlang Li2, Chin-Ling Chen3,4
1College of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Zhongshan Institute, Zhongshan, China.
PloS one
|April 16, 2024
概括
本研究介绍了使用YOLOv6.6的实时任意形状文本检测系统. 这种新的方法提高了自然场景中文本检测的准确性和速度.
科学领域:
- 计算机视觉 计算机视觉
- 人工智能的人工智能
- 图像处理 图像处理
背景情况:
- 在自然场景中检测任意形状的文本存在重大挑战.
- 现有的方法往往缺乏实时功能或实际应用.
研究的目的:
- 开发一种有效的实时检测器来检测任意形状的文本.
- 改进目前在任意形状文本检测方面的局限性.
主要方法:
- 一个基于YOLOv6的架构被调整为文本检测.
- 另外两个额外的分支被整合到YOLOv6子中.
- 像素聚合 (PA) 算法用于检测头.
主要成果:
- 拟议的方法实现了高检测精度和实时性能.
- 在Total-Text (640x640) 上,F测量为84.1%,FPS为291.8.
- 在ICDAR2015 (896x896) 中,F值为81.5%,F值为199.6 FPS.
结论:
- 基于YOLOv6的检测器有效地解决了任意形状文本检测的挑战.
- 与现有方法相比,该方法在准确性和速度方面表现出卓越的性能.
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