Advances in Computer Vision: From Deep Learning Models to Practical Applications

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Advances in Computer Vision: From Deep Learning Models to Practical Applications is written by Hancheng Zhu and published by Frontiers Media SA. It's available with International Standard Book Number or ISBN identification 2832563732 (ISBN 10) and 9782832563731 (ISBN 13).

The field of computer vision has experienced remarkable progress in recent years, largely attributed to the unprecedented advancements in deep learning models and their practical applications across diverse domains. This research topic is dedicated to presenting and exploring the latest developments in computer vision, with a particular emphasis on the transition from theoretical deep learning models to their real-world applications. This research topic focuses on the practical application of deep learning models in computer vision, translating theoretical advancements into real-world solutions. It offers a platform to share success stories and case studies illustrating the effective deployment of such models in areas like medical imaging, remote sensing, and multimedia affective computing. Furthermore, with the importance of interpretability and transparency in deep learning models emphasized, these models become more complex and understanding their decision-making processes is crucial.