meta-learning-CODEBRIM:我们的CVPR19论文“使用COncrete缺陷桥桥梁图像数据集进行多目标混凝土缺陷分类的元学习卷积神经体系结构”的开源代码-Source code learning

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元学习CODEBRIM 我们的CVPR19论文“使用COncrete缺陷桥桥梁图像数据集进行多目标混凝土缺陷分类的元学习卷积神经体系结构”的开源代码: 或 如果您使用内容(例如数据集),请引用该论文: Martin Mundt,Sagnik Majumder,Sreenivas Murali,Panagiotis Panetsos,Visvanathan Ramesh。 具有混凝土缺陷桥图像数据集的多目标混凝土缺陷分类的元学习卷积神经体系结构。 IEEE计算机视觉与模式识别会议(CVPR),2019年 数据集 该数据集位于: : 请注意,该数据集仅被许可用于非商业和教育用途,如上面链接中数据集随附的许可证文件所指定的那样。 这是数据集的示例(本论文的图1): 论文代码 开源代码包括:PyTorch和TensorFlow数据加载器,MetaQNN的PyTorch代码和ENAS

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