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Some Key Technologies of Deep Learning in the Field of Computer Vision

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DOI: 10.25236/ictmic.2020.107

Author(s)

Jianwei Liu

Corresponding Author

Jianwei Liu

Abstract

In recent years, with the continuous development of science and technology, computer vision has also been a rapid development opportunity, and it is also an important research direction of deep learning. For example, from the previous large-scale visual recognition competition to the current stage of go man-machine war, we have seen the infinite potential and vigorous vitality of computer in the field of vision. The development of computer vision field cannot be separated from the important role of deep learning in it. Therefore, deep learning is of great significance to the development of computer vision and artificial intelligence, and also changes people's way of life. However, due to the complexity of deep neural network maze design and the lack of tagged training data, the development of deep learning in the field of computational vision has also encountered some difficulties. This paper analyzes some key technologies of deep learning in the field of computer vision, hoping to play a reference role for relevant researchers.

Keywords

Deep Learning, Field of Computer Vision, Key Technologies