Treffer: Editorial: Advances in computer vision: from deep learning models to practical applications.

The article focuses on advancements in computer vision, particularly the development of deep learning models that enhance practical applications across various fields. It highlights the importance of creating efficient and lightweight models suitable for resource-constrained environments, with specific examples including traffic sign recognition and medical image processing. The contributions discussed range from innovative network architectures to applications in healthcare, education, and security, showcasing the interdisciplinary nature of computer vision. Overall, the article emphasizes the need for ongoing research to bridge theoretical models with real-world usability, aiming to improve the efficiency and effectiveness of computer vision technologies. [Extracted from the article]

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