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 2 Faster-RCNN上不同场景及不同检测模型下的统计性能结果
Tab.2 Statistical performance results for different scenarios and different detectors on Faster-RCNN %
方法SEL_1$\Rightarrow $SEL_2SEL_1$\Rightarrow $SEL_3
APmAPAPmAP
开焊漏焊碎片隐裂开焊漏焊碎片隐裂
Faster-RCNN[25]84.9286.2361.3712.2561.1949.9582.7574.9418.7255.59
IN[13]86.0386.3564.1915.1262.9285.1985.4963.9616.4262.77
SNR[16]89.7386.1865.8518.0364.9593.3281.0363.7215.1663.31
CNSN[17]79.6685.4663.6118.6361.8478.9081.2262.7819.2860.55
FF-FDDG89.9387.5469.5618.2266.3191.8880.5369.1120.1565.42
方法SEL_2$\Rightarrow $SEL_1SEL_2$\Rightarrow $SEL_3
APmAPAPmAP
开焊漏焊碎片隐裂开焊漏焊碎片隐裂
Faster-RCNN[25]87.9776.4463.1315.1260.6786.6376.7564.9212.1260.11
IN[13]87.5282.0459.7815.4661.2091.5279.1267.5116.5963.69
SNR[16]90.1084.0461.5614.3962.5291.1972.6466.4213.5960.96
CNSN[17]82.7583.1643.3610.3854.9183.6577.1658.509.7257.26
FF-FDDG91.5286.3960.2523.1465.3392.1290.9668.2817.4767.21
方法SEL_3$\Rightarrow $SEL_2SEL_3$\Rightarrow $SEL_1
APmAPAPmAP
开焊漏焊碎片隐裂开焊漏焊碎片隐裂
Faster-RCNN[25]90.3989.7963.8619.0865.7890.9787.3956.8314.0262.30
IN[13]91.4187.9269.7818.4966.9083.4289.1357.5214.4261.12
SNR[16]90.5589.2446.6315.7260.5489.0083.9749.9511.4158.58
CNSN[17]51.0372.5158.0513.2548.7176.8071.5150.1610.8352.32
FF-FDDG92.7990.5568.4520.9168.1888.5181.3262.5525.7964.54