A Domain-aware Language-supervised Method for Image Emotion Classification

Author:

Deng Sinuo1,Shi Ge1,Wu Lifang1,Xing Lehao1,Jian Meng1,Liu Yongluo1

Affiliation:

1. Beijing University of Technology,Faculty of Information Technology,Beijing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Reference21 articles.

1. Computational Emotion Analysis From Images: Recent Advances and Future Directions

2. An overview of research development of affective computing and understanding;Yao;Journal of Image and Graphics,2022

3. Unlocking the emotional world of visual media: An overview of the science, research, and impact of understanding emotion drawing insights from psychology, engineering, and the arts, this article provides a comprehensive overview of the field of emotion analysis in visual media and discusses the latest research, systems, challenges, ethical implications, and potential impact of artificial emotional intelligence on society;Wang

4. SOLVER: Scene-Object Interrelated Visual Emotion Reasoning Network

5. Affective Image Content Analysis: Two Decades Review and New Perspectives

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