Research Article
Tunnel Lining Defect Identification Method Based on Small Sample Learning
Figure 6
Comparison of image quality generated by WGAN-GP networks with different structures (, , and label: empty). (a) WGAN-GP (full-connection layer structure) network generates disease samples. (b) WGAN-GP (deep convolution layer structure) network generates disease samples. (c) WGAN-GP (shortcut structure) network generates disease samples.
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