描述: 这是一个深度学习项目，利用 HRNet 和 FPN 架构进行钢材表面缺陷检测。本项目针对噪声较大的比赛数据进行了优化，包括椒盐噪声模拟和拼接数据处理，采用自定义增强技术、高级损失函数及多尺度特征融合。仓库包含训练脚本、模型定义和评估指标。
☆16Nov 17, 2024Updated last year
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