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. 2023 Aug 17;17:1250706. doi: 10.3389/fnbot.2023.1250706

Table 4.

Performance comparison (%) with previous methods on FM_RAF-DB and SG_RAF-DB.

Methods FM_RAF-DB SG_RAF-DB
VGG-16 (Simonyan and Zisserman, 2014) 73.86 75.81
ResNet-50 (He et al., 2015) 74.32 75.88
MobileNetv2 (Sandler et al., 2018) 73.14 75.46
SCN (Wang et al., 2020) 76.43 77.64
MA-Net (Zhao et al., 2021) 77.64 78.78
FFRA-Net(Ours) 77.87 79.50

The bold values are outcomes from model runs described in this paper.