基于特征过滤与特征解耦的域泛化模型
刘坤,王丁,王静凯,陈海永,刘卫朋

Feature filtering and feature decoupling based domain generalization model
Kun LIU,Ding WANG,Jingkai WANG,Haiyong CHEN,Weipeng LIU
表 1 YOLOv7上不同场景及不同检测模型下的统计性能结果
Tab.1 Statistical performance results for different scenarios and different detectors on YOLOv7 %
方法SEL_1$\Rightarrow $SEL_2SEL_1$\Rightarrow $SEL_3
APmAPAPmAP
开焊漏焊碎片隐裂开焊漏焊碎片隐裂
YOLOv7[24]72.6377.6586.3262.1674.6918.0256.5971.0030.9744.14
IN[13]79.2575.8684.1971.2277.6347.0867.8371.4641.2556.91
SNR[16]88.8488.3687.0260.0681.0737.1770.7477.4250.6859.00
CNSN[17]70.6676.3777.2880.2376.1473.1083.4962.6347.6266.71
FF-FDDG91.2089.5487.3478.0386.5378.7290.3271.6956.6974.36
方法SEL_2$\Rightarrow $SEL_1SEL_2$\Rightarrow $SEL_3
APmAPAPmAP
开焊漏焊碎片隐裂开焊漏焊碎片隐裂
YOLOv7[24]86.2276.6681.6274.7479.8184.7081.9087.3366.6380.14
IN[13]95.0482.5585.5069.1883.0793.2379.3290.3172.3883.81
SNR[16]93.5279.9082.5372.8682.2091.5085.7991.7973.8785.74
CNSN[17]80.0772.7362.9456.6168.0977.7974.5085.8465.5675.92
FF-FDDG94.4086.0989.3580.9087.7192.0395.5690.9481.4690.00
方法SEL_3$\Rightarrow $SEL_2SEL_3$\Rightarrow $SEL_1
APmAPAPmAP
开焊漏焊碎片隐裂开焊漏焊碎片隐裂
YOLOv7[24]90.7788.2175.8480.7483.8957.8061.0274.6070.7566.04
IN[13]92.4787.3376.9082.3484.7681.5675.4069.6070.3974.24
SNR[16]92.8587.3285.1181.1486.6184.7374.9471.0771.3775.53
CNSN[17]70.6676.3777.2880.2376.1478.4568.7858.9252.7364.72
FF-FDDG92.6089.7382.3183.2986.9888.0878.8975.1672.1578.57