面向风格扩散的共享特征学习算法
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申锦琛,黄蕊,蒋澈,戚萌,崔嘉
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Shared feature learning algorithm for style diffusion
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Jinchen SHEN,Rui HUANG,Che JIANG,Meng QI,Jia CUI
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表 4 不同风格分类模型的性能对比 |
Tab.4 Performance comparison of different style classification models |
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模型 | ACC/% | P91 | Pan | CP | Arch | FS | VGG16 | 58.42 | 49.73 | 52.67 | 61.41 | 68.22 | VGG19 | 58.11 | 46.44 | 52.77 | 60.11 | 66.14 | ResNet50 | 64.93 | 51.65 | 57.03 | 65.12 | 71.13 | ResNet101 | 65.50 | 52.61 | 56.53 | 66.42 | 70.00 | InceptionV3 | 53.41 | 42.83 | 55.88 | 61.52 | 62.70 | DAE | 58.82 | 48.71 | 52.66 | 58.55 | 61.48 | SCAE | 63.65 | 48.64 | 55.16 | 59.61 | 74.33 | SSCAE | 64.07 | 49.38 | 55.68 | 60.48 | 75.02 | DDS | 62.21 | 52.35 | 53.13 | — | — | MCCFNet | 66.60 | 51.39 | 59.10 | 66.12 | 68.38 | STSACLF | 60.41 | 55.80 | 58.55 | 60.81 | 64.47 | 本研究1 | 67.39 | 56.67 | 55.27 | 65.57 | 71.67 | 本研究2 | 69.12 | 56.98 | 59.41 | 69.03 | 77.17 |
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