Chinese Paintings Emotion Recognition Based on End-to-end Weakly Supervised Learning Network Model
Emotion recognition research is a hot spot in computer vision, and the study of Chinese painting emotion is of great significance to the appreciation of works. In order to improve the recognition performance, the traditional convolutional neural network used to extract local information of Chinese p...
Saved in:
| Main Authors: | LU Ke-bin, YIN Shou-lin |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Harbin University of Science and Technology Publications
2022-02-01
|
| Series: | Journal of Harbin University of Science and Technology |
| Subjects: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2058 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
EMVAS: end-to-end multimodal emotion visualization analysis system
by: Xianxun Zhu, et al.
Published: (2025-07-01) -
The analysis of transformer end-to-end model in Real-time interactive scene based on speech recognition technology
by: Ping Li, et al.
Published: (2025-05-01) -
Semantic Representation and Emotional Awareness in Chinese Painting Viewing: Is There a Difference Between Landscape Painting and Figure Painting?
by: Tinghu Kang, et al.
Published: (2025-06-01) -
End-to-end scene text detection and recognition algorithm based on Transformer decoders
by: Jinzhi ZHENG, et al.
Published: (2023-05-01) -
End-to-end scene text detection and recognition algorithm based on Transformer decoders
by: Jinzhi ZHENG, et al.
Published: (2023-05-01)