/CNN-for-Chinese-Calligraphy-Styles-classification

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)

Primary LanguagePython

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

fivefonts

There are four famous styles in standard font that is ou, yan, liu, zhao.

fourstyles

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:

SEBLOCK

The method of haar-wavelet block:

SEBLOCK

The architecture of our model:

SEBLOCK