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Table 7 Experimental comparison of the classification algorithms

From: Ancient mural classification methods based on a multichannel separable network

  fo pusa Disciples People Clouds Animals Plants Buildings AVG
Reference [12] 78.24% 82.62% 85.36% 94.37% 82.59% 80.53% 82.25% 84.25% 85.14%
Reference [13] 79.36% 85.67% 87.31% 84.31% 92.59% 91.53% 83.25% 87.25% 86.39%
Reference [14] 77.19% 73.33% 79.28% 86.67% 85.00% 92.08% 83.21% 89.33% 77.76%
GoogLeNet 72.04% 74.00% 76.40% 75.76% 86.00% 85.23% 85.87% 87.87% 80.98%
VGG 82.04% 82.45% 84.64% 93.28% 89.16& 90.09% 87.68% 89.27% 84.32%
MCSN 86.30% 87.17% 86.27% 92.31% 95.59% 94.53% 92.25% 88.67% 91.38%