Classification of traditional Chinese paintings using a modified embedding algorithm

Author:

Sheng Jiachuan1,Li Yuzhi1

Affiliation:

1. Tianjin Univ. of Finance and Economics

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Sketch to Chinese paintings: A three-stage progressive generation network via enhancing sketch;Journal of the Franklin Institute;2024-12

2. Chinese traditional painting style automatic classification based on dual-channel feature fusion with multi-attention mechanism;International Journal of Modeling, Simulation, and Scientific Computing;2024-07-30

3. Research on the Classification Method of Ancient Paintings Based on Improved Swin Transformer;2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT);2024-03-29

4. Construction of a painting image classification model based on AI stroke feature extraction;Journal of Intelligent Systems;2024-01-01

5. The Creative Presentation of Color Elements in Chinese Painting Art under the View of Information Technology;Applied Mathematics and Nonlinear Sciences;2024-01-01

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