8/10/2023 0 Comments Chinese calligraphy style fontOn the other hand, we construct a correlation loss based on the Pearson correlation coefficient to make the two decomposed features as orthogonal as possible. On the one hand, we feed the style-related feature to a style classifier which is supervised by cross-entropy loss. We further apply two types of loss function to jointly supervise our network. style-related feature and style-unrelated feature. Then we feed the fused feature to an attention module to decompose it to two components, viz. ![]() We first fuse the features of several images from the same category to augment their potential style-related features. Therefore, we propose a novel CNN embedded with feature fusion and feature decomposition modules to solve this problem. ![]() Chinese calligraphy style classification remains a challenging task due to its dramatic intra-class difference and tiny inter-class difference. In this paper, we aim at the problem of Chinese calligraphy style classification, which is an important branch of Chinese calligraphy study. Chinese calligraphy is an invaluable legacy of Chinese culture, since it bears great artistic and aesthetic value.
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