基于泊松融合数据增强的焊缝金相组织缺陷分类研究

白雄飞, 龚水成, 李雪松, 许博, 杨晓力, 王明彦

Defect Classification of Weld Metallographic Structure Based on Data Augmentation of Poisson Fusion

BAI Xiongfei, GONG Shuicheng, LI Xuesong, XU Bo, YANG Xiaoli, WANG Mingyan

表4 各模型在测试集上的结果(数据增强后)

Tab.4 Testing result of all models on test dataset (after data augmentation)%

模型 准确度 F 1 h o F 1 c r F 1 n o $\bar{F}_{1}^{ma}$ VGG13+ELR 95.78 95.61 92.63 98.33 95.52 GoogLeNet+ELR 97.85 97.74 96.56 99.07 97.86 ResNet18+ELR 96.56 96.91 94.57 97.61 96.36 ResNet18_PRO+ELR 98.83 98.88 97.96 99.45 98.76