基于改进生成对抗网络的图像数据增强方法
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詹燕,胡蝶,汤洪涛,鲁建厦,谭健,刘长睿
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Image data enhancement method based on improved generative adversarial network
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Yan ZHAN,Die HU,Hong-tao TANG,Jian-sha LU,Jian TAN,Chang-rui LIU
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| 表 3 各模型生成图像质量评价表 |
| Tab.3 Quality evaluation table of image generated by each model |
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| 模型 | PSNR/dB | | SSIM | | FID | | 侧面 | 倒角面 | 端面 | 侧面 | 倒角面 | 端面 | 侧面 | 倒角面 | 端面 | | CGAN | 48.043 3 | 54.327 9 | 52.459 2 | | 0.184 2 | 0.288 9 | 0.248 0 | | 472.899 4 | 343.297 9 | 372.268 5 | | WGAN-GP | 57.523 0 | 62.487 9 | 53.688 9 | 0.634 2 | 0.831 7 | 0.396 4 | 363.993 2 | 166.245 8 | 207.444 2 | | WGAN-GP+SR | 63.543 6 | 68.508 5 | 64.347 9 | 0.807 0 | 0.941 1 | 0.717 6 | 224.5837 | 132.936 6 | 102.986 2 |
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