Research Article

Extreme Image Classification Algorithm Based on Multicore Dense Connection Network

Table 4

Recall and accuracy of each model.

ModelCleanHazeRaindropRain streakLow illuminationBlurAPAR
PRPRPRPRPRPR

MDCNet86.67%91.00%89.77%96.50%93.14%95.50%96.88%93.00%95.24%90.00%95.77%90.50%92.92%92.75%
MDCNet (Single1)82.41%89.00%90.05%95.00%92.39%85.00%94.47%94.00%88.04%92.00%95.03%86.00%90.39%90.16%
MDCNet (Single2)81.53%90.50%93.03%93.50%91.96%91.50%97.44%95.00%91.15%87.50%91.62%87.50%91.12%90.91%
Qiang G et al.82.61%57.00%96.18%75.50%73.22%81.47%77.58%64.00%88.76%75.00%89.47%76.50%84.64%71.58%
DenseNet12183.42%78.00%92.35%84.50%78.14%84.00%77.42%84.00%86.92%93.00%91.30%84.00%84.93%84.58%
DenseNet16982.97%75.50%86.82%95.50%87.56%84.50%86.53%83.50%86.51%93.00%87.31%86.00%86.28%86.33%
DenseNet20176.47%84.50%81.02%87.50%85.56%80.00%88.77%83.00%87.38%90.00%93.99%86.00%85.53%85.17%
DenseNet16176.68%85.50%85.58%92.00%88.04%81.00%89.71%78.50%92.71%89.00%86.26%91.00%86.50%86.17%
ResNet1879.73%88.50%89.00%93.00%82.46%87.00%94.85%92.00%91.76%83.50%84.00%92.31%88.35%88.00%
ResNet3490.85%69.50%87.02%90.50%85.99%89.00%81.25%97.50%88.95%84.50%90.59%91.50%87.44%87.08%
ResNet5080.34%84.00%86.27%88.00%84.21%80.00%83.56%95.50%90.96%85.50%91.80%88.00%86.19%86.83%
ResNet10180.24%86.50%90.37%84.50%82.93%85.00%94.16%84.00%88.56%90.00%86.12%90.00%87.06%86.67%
VGG1682.86%87.00%85.71%96.00%87.71%78.50%83.89%88.50%96.74%89.00%94.27%90.50%88.53%88.25%
VGG1989.44%80.50%96.17%88.00%80.17%95.00%82.91%97.00%93.33%91.00%96.49%82.50%89.75%89.00%