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http://dx.doi.org/10.17703/IJACT.2020.8.4.119

Object detection technology trend and development direction using deep learning  

Kwak, NaeJoung (Dept. of Cyber and Security, Baejae Univ.)
Kim, DongJu (Postech Institute of Artificial Intelligence, POSTECH)
Publication Information
International Journal of Advanced Culture Technology / v.8, no.4, 2020 , pp. 119-128 More about this Journal
Abstract
Object detection is an important field of computer vision and is applied to applications such as security, autonomous driving, and face recognition. Recently, as the application of artificial intelligence technology including deep learning has been applied in various fields, it has become a more powerful tool that can learn meaningful high-level, deeper features, solving difficult problems that have not been solved. Therefore, deep learning techniques are also being studied in the field of object detection, and algorithms with excellent performance are being introduced. In this paper, a deep learning-based object detection algorithm used to detect multiple objects in an image is investigated, and future development directions are presented.
Keywords
Deep-learning; Object-detection; Image processing; Classification; Computer vision;
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