Computer Vision Advancement with Vision Transformers: A Comprehensive Review

The adoption of vision transformers for image recognition tasks has exploded in recent years, leading to the coexistence of numerous transformer variants. However, the lack of a comprehensive analysis and comparison of these models has left researchers and practitioners unsure of the best options for their applications. The subtleties of different vision transformers are explored, and a thorough comparison is carried out in this study. The research is motivated by the vision transformers' increasingly important role in contemporary computer vision, and it aims to contribute to the advancement of the state-of-the-art in image recognition. By outlining the distinctive qualities, benefits, and drawbacks of these models, the community is provided with a useful resource that simplifies the decision-making process for researchers and practitioners. Ultimately, the goal is to pave the way for more accurate, efficient, and impactful image recognition solutions.