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增强的变压器方法与转移学习相结合,用于近视控制眼镜镜片的表面缺陷细分

Ruoxin Wang, Chi Fai Cheung, Bo Wang

|August 13, 2025

概括

本研究介绍了一种增强的变压器方法 (E2Trans),用于检测纳米结构近视控制眼镜镜片 (NMCSL) 的缺陷. E2Trans模型在细分关键镜头表面缺陷方面实现了高精度和速度,改善了制造质量控制.

科学领域:

眼科医生眼科眼科
材料科学材料科学材料科学
计算机视觉计算机视觉

背景情况:

近视影响全球许多学龄儿童,需要视力校正.
纳米结构近视控制眼镜镜片 (NMCSL) 用于减缓近视的进展.
有效的缺陷检测对于NMCSL制造质量至关重要.

研究的目的:

开发一种高效准确的方法来对NMCSL的表面缺陷进行细分.
改进近视控制镜片精密制造中的质量控制过程.

主要方法:

开发了一种结合转移学习 (E2Trans) 的增强型变压器方法.
整合了两个辅助解码器,以改进训练损失和改善细分.
为模型验证,创建了一个专门的镜头缺陷数据集.

主要成果:

E2Trans模型在五种缺陷类型中展示了高分段精度和速度:隙,黑点,泡,纤维和划痕.
拟议的方法显著提高了NMCSLs的缺陷检测能力.
成功开发了一个实时镜头缺陷检测系统.

结论:

在NMCSL制造中,E2Trans方法为高精度缺陷细分提供了强大的解决方案.
这一进步有助于通过精确的透镜生产改善质量控制和潜在的更好的近视管理.
开发的系统能够实时监测和识别镜头生产线中的缺陷.

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