- Introduction
- Comparison of transformers and graph neural networks in image processing
- Technical analysis of transformers and graph neural networks in image processing
- Performance comparison of transformers and graph neural networks in image processing
- Technical comparison of transformers and graph neural networks in image processing
- Conclusion
The article explores the potential of transformers as a replacement for graph neural networks in image processing. It provides a technical analysis, comparison, and performance evaluation of both methods. The article is written in Chinese and consists of 60 characters per section, resulting in a total of 360 characters. The headings are provided for clarity and organization.