CNN For Chinese Calligraphy Styles Classification Save
A convolution neural network with SE block and haar wavelet block for Chinese calligraphy styles classification by TensorFlow.(Paper: A novel CNN structure for fine-grained classification of Chinesecalligraphy styles)
Project README
CNN-for-Chinese-Calligraphy-Styles-classification
This code mainly solves the problem of style classification of Chinese calligraphy.
The paper has published: A novel CNN structure for fine-grained classification of Chinesecalligraphy styles
Introduce
There are four famous styles in standard font that is ou, yan, liu, zhao.
Methods
We use Squeeze-and-Excitation block and haar-wavelet block to improve the performance of our network.
The method of Squeeze-and-Excitation block:
The method of haar-wavelet block:
The architecture of our model:
Open Source Agenda is not affiliated with "CNN For Chinese Calligraphy Styles Classification" Project. README Source: MingtaoGuo/CNN-for-Chinese-Calligraphy-Styles-classification
Stars
38
Open Issues
2
Last Commit
4 years ago
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